Tutorial (4) Problem (1):
|
|
- Blaise McKinney
- 5 years ago
- Views:
Transcription
1 Problem (1): Tutorial (4) Consider the WLAN supported within the campus of the GUC. Assume that an access point is located in the second floor. The transmitter power at the access point is 5 dbm. Free space pathloss may be assumed up to a distance of 1.5 m away from the transmitter such that power received at a distance of 1.5m could be evaluated as dbm. Afterwards a path-loss exponent of nsf (same floor) could be assumed. i. We would like to estimate the path-loss exponent nsf (same floor) if the signal strength received at a laptop in an office within the same floor that is 17 m away is -90 dbm. Assume from the access point, the LOS path is obstructed by three walls. (Assume PAF of 5 db for the first two walls and 3 db for the third wall) P R (d) = P R (d o ) 10n SF log ( d d o ) PAF 90 = n SF log ( 17 ) ( ) 1.5 n SF = 3.33 ii. Estimate the signal strength at a laptop in the cafeteria area (C1, ground floor) 6 m away from the access point and the LOS path is obstructed by two walls. (Assume PAF of 4 db for each wall and FAF of 12 db for two floors) P R (d) = P R (d 0 ) 10n SF log ( d d 0 ) PAF FAF P R (d) = log( 6 ) 12 = dbm 1.5 iii. What is the multi-floor pathloss exponent that would achieve the same received power as in part (ii) P R (d) = P R (d 0 ) 10n MF log(d/d 0 ) PAF = n MF log(4) n MF = 5.3 iv. What is the carrier frequency for the WLAN system used P L (d 0 ) follows free space = P T P R (d 0 ) = = 41.5dB
2 P L (d 0 ) = 20log( 4Πd 0 λ ) = 41.5 (Assume G T = G R = 1) 4Πd 0 λ = λ = fc = 1.91 GHz N.B.: P L (d 0 ) = 10log (( 4Πd 0 λ )2 ), We can use this formula because free space pathloss may be assumed up to a distance of 1.5 m. Problem (2): If the received power at a reference distance do = 1km is equal to 1mW, find the received power at a distance of 2km from the same transmitter for the following path loss models: (Assume f = 100MHz, ht = 40m, hr = 3m, Gt = Gr = 0dB) i. n=4 P R (d) = P R (d o ) 10nlog ( d ) = 10 log(1) 10(4) log( 2 ) = dbm d o 1 ii. Hata model for a large city environment P R (d = 2 km) = P T L 50 (d = 2 km) P T = P R (d o ) + L 50 (d = 1 km) P R (d o ) = 10 log(1) = 0 dbm f c > 1500 MHz Extended Hata will be used L 50 (Urban) = logf c 13.2logh te a(h re ) + ( logh te ) log d + C M For Large City: a(h re ) = 3.2(log11.75h re ) = 3.2(log ) = 2.69 db C M = 3dB L 50 (d = 1 km) = log log ( log40) log = db
3 L 50 (d = 2 km) = log log ( log40) log = db P T = = dbm P R (d = 2 km) = = dbm Problem (3): If the average received power (P R (d) = PT PL(d) ) is -57dBm at d=2km taking into account the shadowing effect having a Gaussian Distribution with zero mean and standard deviation = 6dB. Find the percentage of area within a 2km radius cell that receives signals greater than a value -60dBm. P r (P R (d = 2km) > 60) = P r (P R (d) X > 60) = P r ( 57 X > 60) = P r (X < 3) = 1 P r (X > 3) = 1 Q ( 3 ) = 1 Q (1 ) = = Assume n=2 n = 6 2 = 3 Percentage of Area=9 %
4 Problem (4): Consider four-cell frequency reuse. Cell B1 is the desired cell and B2 is a co-channel cell as shown in the figure below. For a mobile located in cell B1, find the cell radius R to give coverage percentage of 95% inside the cell. Coverage is considered to be satisfied when the Signal to Interference ratio (SIR) at the mobile is greater than 1 db. Assume the following: - Co-channel interference is due to base B2 only - Carrier frequency, fc=90 MHz - Reference distance d0=1 Km (assume free space propagation from the transmitter to d0) - Transmitter power available at any base station, Pt=10 W PL(dB) between the mobile and base B1 is given as P L (db) = P d L (d o ) + 25log ( ) X d = db o PL(dB) between the mobile and base B2 is given as P L (db) = P d L (d o ) + 40log ( ) X d = 0dB o n = 2.5 = 3.2 N.B.: We used this n from the first equation because we are concerned with the coverage inside cell B1, so we must use the path-loss exponent of this cell (B1). U(γ) = 0.95
5 P r (SIR > 1) = 0. SIR = P S P I > 1 db We will design on the worst SIR, which occurs when the mobile is on the edge of B1 (Furthest point from B1 and nearest point to the interferer B2) P S = P R (R) = P T P L (R) = P T (P R L (d o ) + 25log ( ) X d ) o P I = P R (D) = P T P L (D) = P T (P D L (d o ) + 40log ( ) X d ) o P I = P T (P D L (d o ) + 40log ( )) (N. B. = 0) d o SIR = P S P I = P T (P R L (d o ) + 25log ( ) X d ) (P T (P D L (d o ) + 10(4)log ( ))) o d o = 25 log(r) + 25 log(d o ) + 40 log(d) 40 log(d o ) + X = 25 log(r) 15 log(d o ) + 40 log(d) + X BS1 2.5 R D BS2 3 2 R D = (2.5R) 2 + ( R) = R
6 SIR = 25 log(r) + 40 log(2.646 R) 15 log(d o ) + X = 15 log(r) X P r (SIR > 1) = P r (15 log(r) X > 1) = P r (X > 15 log(r) ) 15 log(r) = Q ( ) = 0. Since, the value of Q(z) is greater than 0.5, therefore, z is a negative number, because Q(+ve number) < 0.5, Q(0) = 0.5 and Q( ve number) > 0.5 Therefore, Q(the positive number) = 1 0. = log(r) Q ( ) = 0.2 From the Q-Table Q(0.) = log(r) R = 3.16 Km = 0. Problem (5): Suppose a mobile station is located in network comprised of three base stations BS1, BS2 and BS3, as shown in the next figure. The distance between any two base stations is D=1600m. The received power in dbm at base station i, from the mobile station, is modeled as: Pr,i(d)dBm = Po 10nlog (di/do) + χi where i=1,2,3 and di is the distance between the mobile and base station i in meters. Po is the received power at distance do from the mobile antenna and n is the path loss exponent. χi is a zero mean Gaussian random variable with standard deviation in db, that models the variation of the received signals due to shadowing. Assume that the random components χi of the signals received at different base stations are independent of each other. The minimum usable signal for acceptable voice quality at the base station receiver
7 is Pr,min and the threshold level for handoff initiation is Pr,HOin dbm. Assume that the mobile is currently connected to BS1. A handoff occurs when the received signal at the base station BS1, from the mobile, drops below threshold Pr,HO, and the signal received at some other base station is greater than the minimum acceptable level Pr,min. Given the parameters in the following table, determine the probability that a handoff occurs (Pr[handoff]) Parameter Value BS 1 MT BS 2 BS 3 n 3 db Po 0dBm do 1m Pr,min -11 dbm Pr,ho -112 dbm Handoff occurs when: Pr,BS1<Pr,HO And (Pr,BS2>Pr,min OR Pr,BS3>Pr,min) P r (handoff) = P r (P r,bs1 < P r,ho ) (P r (P r,bs2 > P r,min ) + P r (P r,bs3 > P r,min )) = P r (P o 10nlog ( d 1 d o ) + χ 1 < 112) (P r (P o 10nlog ( d 2 d o ) + χ 2 > 11) + P r (P o 10nlog ( d 3 d o ) + χ 3 > 11)) = P r (0 10(3)log ( d 1 1 ) + χ 1 < 112) (P r (0 10(3)log ( d 2 1 ) + χ 2 > 11) + P r (0 10(3)log ( d 3 1 ) + χ 3 > 11))
8 d 1 = d 2 = = 00 m d 3 = = m 00 BS MT d3 BS3 BS2 P r (handoff) = P r (0 10(3)log(00) + χ 1 < 112) (P r (0 10(3)log(00) + χ 2 > 11) + P r (0 10(3)log(135.65) + χ 3 > 11)) = P r (χ 1 < ) (P r (χ 2 > ) + P r (χ 3 > 23.75)) = (Q ( = (Q ( )) (1 Q ( ) + 1 Q ( )) )) (2 Q ( ) Q ( )) = (Q(3.113)) (2 Q(3.63) Q(2.969)) (Q(3.1)) (2 Q(3.9) Q(3.0)) = ( ) =
Mobile Radio Communications
Course 3: Radio wave propagation Session 3, page 1 Propagation mechanisms free space propagation reflection diffraction scattering LARGE SCALE: average attenuation SMALL SCALE: short-term variations in
More informationWireless Communications
Wireless Communications Cannel Moeling Large Scale Hami Barami Electrical & Computer Engineering EM Spectrum Raio Wave l Raio wave: a form of electromagnetic raiation, create wenever a carge object accelerates
More informationCell Design to Maximize Capacity in CDMA Networks. Robert Akl, D.Sc.
Cell Design to Maximize Capacity in CDMA Networks Robert Akl, D.Sc. Outline CDMA inter-cell effects Capacity region Base station location Pilot-signal power Transmission power of the mobiles Maximize network
More information2.3. Large Scale Channel Modeling Shadowing
c B. Chen 2.3. Large Scale Channel Modeling Shadowing Reading assignment 4.9. Multipath Channel Because of the mobility and complex environment, there are two types of channel variations: small scale variation
More informationFading Statistical description of the wireless channel
Channel Modelling ETIM10 Lecture no: 3 Fading Statistical description of the wireless channel Fredrik Tufvesson Department of Electrical and Information Technology Lund University, Sweden Fredrik.Tufvesson@eit.lth.se
More informationSINR Model with Best Server Association for High Availability Studies of Wireless Networks
SINR Model with Best Server Association for High Availability Studies of Wireless Networks 1 David Öhmann, Ahmad Awada, Ingo Viering, Meryem Simsek, Gerhard P. Fettweis arxiv:1510.04503v2 [cs.ni] 29 Oct
More informationProject: IEEE P Working Group for Wireless Personal Area Networks N
Project: IEEE P82.15 Working Group for Wireless Personal Area Networks N (WPANs( WPANs) Title: [LOS office channel model based on TSV model] Date Submitted: [September, 26] Source: [Hirokazu Sawada, Yozo
More informationHow long before I regain my signal?
How long before I regain my signal? Tingting Lu, Pei Liu and Shivendra S. Panwar Polytechnic School of Engineering New York University Brooklyn, New York Email: tl984@nyu.edu, peiliu@gmail.com, panwar@catt.poly.edu
More informationLecture 2. Fading Channel
1 Lecture 2. Fading Channel Characteristics of Fading Channels Modeling of Fading Channels Discrete-time Input/Output Model 2 Radio Propagation in Free Space Speed: c = 299,792,458 m/s Isotropic Received
More informationWireless Communications
NETW701 Wireless Communications Dr. Wassim Alexan Winter 2018 Lecture 2 NETW705 Mobile Communication Networks Dr. Wassim Alexan Winter 2018 Lecture 2 Wassim Alexan 2 Reflection When a radio wave propagating
More informationIII. Spherical Waves and Radiation
III. Spherical Waves and Radiation Antennas radiate spherical waves into free space Receiving antennas, reciprocity, path gain and path loss Noise as a limit to reception Ray model for antennas above a
More informationarxiv: v1 [cs.it] 12 Jul 2016
Analytical and Simulation Performance of a Typical User in Random Cellular Network Sinh Cong Lam Kumbesan Sandrasegaran Centre for Real-Time Information Networks, Faculty of Engineering and Information
More informationScilab Textbook Companion for Wireless Communications Principles and Practices by T. S. Rappaport 1
Scilab Textbook Companion for Wireless Communications Principles and Practices by T. S. Rappaport 1 Created by Priyanka Gavadu Patil Wireless communication Others Pillai HOC College Of Engineering & Technology
More informationXI. Influence of Terrain and Vegetation
XI. Influence of Terrain and Vegetation Terrain Diffraction over bare, wedge shaped hills Diffraction of wedge shaped hills with houses Diffraction over rounded hills with houses Vegetation Effective propagation
More informationOptimization of Okumura Hata Model in 800MHz based on Newton Second Order algorithm. Case of Yaoundé, Cameroon
IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 2278-1676,p-ISSN: 2320-3331, Volume 10, Issue 2 Ver. I (Mar Apr. 2015), PP 16-24 www.iosrjournals.org Optimization of Okumura
More informationMethods for Path loss Prediction
School of Mathematics and Systems Engineering Reports from MSI - Rapporter från MSI Methods for Path loss Prediction Cem Akkaşlı October 9 MSI Report 967 Växjö University ISSN 65-647 SE-35 95 VÄXJÖ ISRN
More informationnumber of neighbours are used to model RF propagation in study area. Finally, the result of all interpolation methods are compared using the check poi
Evaluation of Geostatistical Analysis Capability in Wireless Signal Propagation Modeling Samira Kolyaie 1, 3, Marjan Yaghooti 2, 3 1 MSc. Graduate, GIS division, Dept. of Surveying and Geomatics Eng.,
More informationCell Switch Off Technique Combined with Coordinated Multi-Point (CoMP) Transmission for Energy Efficiency in Beyond-LTE Cellular Networks
Cell Switch Off Technique Combined with Coordinated Multi-Point (CoMP) Transmission for Energy Efficiency in Beyond-LTE Cellular Networks Gencer Cili, Halim Yanikomeroglu, and F. Richard Yu Department
More informationSpectrum Management Methodology for WCDMA Systems Encompassing Uplink and Downlink
Spectrum Management Methodology or WCMA Systems Encompassing plink and ownlink J. asreddine, J. Pérez-Romero, O. Sallent, R. Agustí ept. o Signal Theory and Communications, niversitat Politècnica de Catalunya
More informationAnalysis of Urban Millimeter Wave Microcellular Networks
Analysis of Urban Millimeter Wave Microcellular Networks Yuyang Wang, KiranVenugopal, Andreas F. Molisch, and Robert W. Heath Jr. The University of Texas at Austin University of Southern California TheUT
More informationCS6956: Wireless and Mobile Networks Lecture Notes: 2/4/2015
CS6956: Wireless and Mobile Networks Lecture Notes: 2/4/2015 [Most of the material for this lecture has been taken from the Wireless Communications & Networks book by Stallings (2 nd edition).] Effective
More informationAerial Anchors Positioning for Reliable RSS-Based Outdoor Localization in Urban Environments
1 Aerial Anchors Positioning for Reliable RSS-Based Outdoor Localization in Urban Environments Hazem Sallouha, Mohammad Mahdi Azari, Alessandro Chiumento, Sofie Pollin arxiv:1711.06014v2 [cs.ni] 5 Dec
More informationAnalyzing the Effect of Soft Handover on Handover Performance Evaluation Metrics Under Load Condition
Analyzing the Effect of Soft Handover on Handover Performance Evaluation Metrics Under Load Condition By Nitish Kumar Panigrahy Under the guidance of Dr. Sasthi Ch. Ghosh Submitted in Partial Fulfillment
More informationGame Theoretic Approach to Power Control in Cellular CDMA
Game Theoretic Approach to Power Control in Cellular CDMA Sarma Gunturi Texas Instruments(India) Bangalore - 56 7, INDIA Email : gssarma@ticom Fernando Paganini Electrical Engineering Department University
More informationAutonomous Uplink Intercell Interference Coordination in OFDMA-based Wireless Systems
Autonomous Uplink Intercell Interference Coordination in OFDMA-based Wireless Systems Department of Electronics and Communications Engineering, Egypt WiOpt 11th Intl. Symposium on Modeling and Optimization
More informationEffective Carrier Sensing in CSMA Networks under Cumulative Interference
INFOCOM 2010 Effective Carrier Sensing in MA Networks under Cumulative Interference Liqun Fu Soung Chang Liew Jianwei Huang Department of Information Engineering, The Chinese University of Hong Kong Introduction
More informationEnergy Efficiency and Load Balancing in Next-Generation Wireless Cellular Networks
Energy Efficiency and Load Balancing in Next-Generation Wireless Cellular Networks Kemal Davaslioglu Advisor: Professor Ender Ayanoglu Center for Pervasive Communications and Computing Department of Electrical
More informationAverage Throughput Analysis of Downlink Cellular Networks with Multi-Antenna Base Stations
Average Throughput Analysis of Downlink Cellular Networks with Multi-Antenna Base Stations Rui Wang, Jun Zhang, S.H. Song and K. B. Letaief, Fellow, IEEE Dept. of ECE, The Hong Kong University of Science
More informationMegaMIMO: Scaling Wireless Throughput with the Number of Users. Hariharan Rahul, Swarun Kumar and Dina Katabi
MegaMIMO: Scaling Wireless Throughput with the Number of Users Hariharan Rahul, Swarun Kumar and Dina Katabi There is a Looming Wireless Capacity Crunch Given the trends in the growth of wireless demand,
More informationA Model of Soft Handoff under Dynamic Shadow Fading
A Model of Soft Handoff under Dynamic Shadow Fading Kenneth L Clarkson John D Hobby September 22, 2003 Abstract We introduce a simple model of the effect of temporal variation in signal strength on active-set
More informationMultiple Antennas. Mats Bengtsson, Björn Ottersten. Channel characterization and modeling 1 September 8, Signal KTH Research Focus
Multiple Antennas Channel Characterization and Modeling Mats Bengtsson, Björn Ottersten Channel characterization and modeling 1 September 8, 2005 Signal Processing @ KTH Research Focus Channel modeling
More informationTechniques for System Information Broadcast in Cell-Free Massive MIMO
Techniques for System Information Broadcast in Cell-Free Massive MIMO Marcus Karlsson, Emil Björnson and Erik G Larsson The self-archived postprint version of this journal article is available at Linköping
More informationCoverage and Connectivity Analysis of Millimeter Wave Vehicular Networks
1 Coverage and Connectivity Analysis of Millimeter Wave Vehicular Networks Marco Giordani, Mattia Rebato, Andrea Zanella, Michele Zorzi Department of Information Engineering (DEI), University of Padova,
More informationIEEE Broadband Wireless Access Working Group <
Project Title IEEE 802.6 Broadband Wireless Access Working Group Codebook based pre-coding MIMO Date Submitted Source(s) 2008-05-05 Jaewan Kim, Wookbong Lee, Bin-chul Ihm Voice:
More information) h k, (6) ) H k w k = h k = H k w k = where h k. is a random vector with i.i.d. elements as CN(0,1). The interference vector can then be expressed as
A Mixture Model for NLOS mmwave Interference Distribution Hussain Elkotby and Mai Vu Department of Electrical and Computer Engineering, Tufts University, Medford, MA, USA Emails: Hussain.Elkotby@Tufts.edu,
More informationSpring 2016 Network Science Solution of Homework Assignment #5
Spring 216 Network Science Solution of Homework Assignment #5 Problem 1 [PGFL and Its Application] (4%) In a wireless cellular network, suppose users associate with a base station (BS) by the nearest BS
More informationCorrelated Link Shadow Fading in Multi-hop Wireless Networks
Correlated Link Shadow Fading in Multi-hop Wireless Networks Piyush Agrawal, Student Member, IEEE, and Neal Patwari, Member, IEEE, Abstract Accurate representation of the physical layer is required for
More informationStochastic Models for System Simulations
Lecture 4: Stochastic Models for System Simulations Contents: Radio channel simulation Stochastic modelling COST 7 model CODIT model Turin-Suzuki-Hashemi model Saleh-Valenzuela model Stochastic Models
More informationCopyright license. Exchanging Information with the Stars. The goal. Some challenges
Copyright license Exchanging Information with the Stars David G Messerschmitt Department of Electrical Engineering and Computer Sciences University of California at Berkeley messer@eecs.berkeley.edu Talk
More informationA Network Shadow Fading Gain Model For. Autonomous Cellular Networks
A Network Shadow Fading Gain Model For 1 Autonomous Cellular Networks Bijan Golkar, Student Member, IEEE and Elvino S. Sousa, Fellow, IEEE Department of Electrical and Computer Engineering, University
More informationBeam Based Stochastic Model of the Coverage Probability in 5G Millimeter Wave Systems
Beam Based Stochastic Model of the Coverage Probability in 5G Millimeter Wave Systems Cristian Tatino, Ilaria Malanchini, Danish Aziz, Di Yuan Department of Science and Technology, Linköping University,
More informationInterference Modeling for Cellular Networks under Beamforming Transmission
Interference Modeling for Cellular Networks under Beamforming Transmission 1 Hussain Elkotby, Student Member IEEE and Mai Vu, Senior Member IEEE arxiv:1706.00050v1 [cs.it] 31 May 2017 Abstract We propose
More informationImpact of Mobility on Physical Layer Security over Wireless Fading Channels
JOURNAL OF LATX CLASS FILS, VOL. 4, NO. 8, AUGUST 28 Impact of Mobility on Physical Layer Security over Wireless Fading Channels Jie Tang, Monireh Dabaghchian, Kai Zeng, Hong Wen Abstract Wireless physical
More informationAN EXACT SOLUTION FOR OUTAGE PROBABILITY IN CELLULAR NETWORKS
1 AN EXACT SOLUTION FOR OUTAGE PROBABILITY IN CELLULAR NETWORKS Shensheng Tang, Brian L. Mark, and Alexe E. Leu Dept. of Electrical and Computer Engineering George Mason University Abstract We apply a
More informationCapacity of Cellular Uplink with Multiple Tiers of Users and Path Loss
Capacity of Cellular Uplink with Multiple Tiers of Users and Path Loss D. Kaltakis, E. Katranaras, M. A. Imran, C. Tzaras Centre for Communication Systems Research University of Surrey, UK email: d.kaltakis@surrey.ac.uk
More informationFriis Transmission Equation and Radar Range Equation 8.1 Friis Transmission Equation
Friis Transmission Equation and Radar Range Equation 8.1 Friis Transmission Equation Friis transmission equation is essential in the analysis and design of wireless communication systems. It relates the
More informationChannel Hardening and Favorable Propagation in Cell-Free Massive MIMO with Stochastic Geometry
Channel Hardening and Favorable Propagation in Cell-Free Massive MIMO with Stochastic Geometry Zheng Chen and Emil Björnson arxiv:7.395v [cs.it] Oct 27 Abstract Cell-Free CF Massive MIMO is an alternative
More informationMATHEMATICAL TOOLS FOR DIGITAL TRANSMISSION ANALYSIS
ch03.qxd 1/9/03 09:14 AM Page 35 CHAPTER 3 MATHEMATICAL TOOLS FOR DIGITAL TRANSMISSION ANALYSIS 3.1 INTRODUCTION The study of digital wireless transmission is in large measure the study of (a) the conversion
More informationMmWave Vehicle-to-infrastructure Communication: Analysis of Urban Microcellular Networks
Technical Report 123 MmWave Vehicle-to-infrastructure Communication: Analysis of Urban Microcellular Networks Research Supervisor Robert Heath Wireless Networking and Communications Group May 2017 Project
More informationThe Post-Processing Resolution Required for Accurate RF Coverage Validation and Prediction
The Post-Processing esolution equired for Accurate F Coverage Validation and Prediction PETE BENADIN, SENIO MEMBE, IEEE and KANAGALU MANOJ, MEMBE, IEEE Preprint of Publication in the IEEE Transactions
More informationMobile Communications (KECE425) Lecture Note Prof. Young-Chai Ko
Mobile ommunications (K425) Lecture Note 2 03-05-2014 Prof. Young-hai Ko 1 Summary ellular concept o-channel interference ellular size and capacity Path loss model Prof. Y. -. Ko 2 ...... ellular oncept...
More informationMmWave vehicle-to-infrastructure communication: Analysis of urban microcellular networks
1 MmWave vehicle-to-infrastructure communication: Analysis of urban microcellular networks Yuyang Wang, Student Member, IEEE, Kiran Venugopal, Student Member, IEEE, arxiv:1702.08122v3 [cs.ni] 12 Apr 2018
More informationChapter 3 Problem Solutions
Chate Poblem Solutions Poblem A Equation (5) gives P P G G log h log h L 4 log d t t t sys Substituting gives P log 6 log log 4 log 875 m B The wavelength is given by 8 The fee-sace ath loss is then 9
More informationModeling of Propagation in Mobile Wireless Communication: Theory, Simulation and Experiment
Modeling of Propagation in Mobile Wireless Communication: Theory, Simulation and Experiment MAGDALENA SALAZAR-PALMA* TAPAN K. SARKAR**, WALID M. DYAB**, MOHAMMAD N. ABDALLAH**, M. V. S. N. PRASAD*** *Dept.
More informationQ. 1 Q. 25 carry one mark each.
GATE 5 SET- ELECTRONICS AND COMMUNICATION ENGINEERING - EC Q. Q. 5 carry one mark each. Q. The bilateral Laplace transform of a function is if a t b f() t = otherwise (A) a b s (B) s e ( a b) s (C) e as
More informationECE6604 PERSONAL & MOBILE COMMUNICATIONS. Week 3. Flat Fading Channels Envelope Distribution Autocorrelation of a Random Process
1 ECE6604 PERSONAL & MOBILE COMMUNICATIONS Week 3 Flat Fading Channels Envelope Distribution Autocorrelation of a Random Process 2 Multipath-Fading Mechanism local scatterers mobile subscriber base station
More informationHigh Speed Railway Wireless. Communications: Efficiency v.s. Fairness
High Speed Railway Wireless Communications: Efficiency v.s. Fairness Yunquan Dong, Pingyi Fan, Senior Member, IEEE and Khaled Ben Letaief, Fellow, IEEE, arxiv:43.4357v [cs.it] 8 Mar 24 {dongyq8@mails,
More informationComparative Study of LEO, MEO & GEO Satellites
Comparative Study of LEO, MEO & GEO Satellites Smridhi Malhotra, Vinesh Sangwan, Sarita Rani Department of ECE, Dronacharya College of engineering, Khentawas, Farrukhnagar, Gurgaon-123506, India Email:
More informationResearch Article Geometry-Based Stochastic Modeling for MIMO Channel in High-Speed Mobile Scenario
Antennas and Propagation Volume 202, Article ID 84682, 6 pages doi:0.55/202/84682 Research Article Geometry-Based Stochastic Modeling for MIMO Channel in High-Speed Mobile Scenario Binghao Chen and Zhangdui
More informationMassive MIMO As Enabler for Communications with Drone Swarms
Massive MIMO As Enabler for Communications with Drone Swarms Prabhu Chandhar, Danyo Danev, and Erik G. Larsson Division of Communication Systems Dept. of Electrical Engineering Linköping University, Sweden
More information3G Coverage Obligation Verification Model MATLAB Source Code
3G Coverage Obligation Verification Model MATLAB Source Code Publication date: 24 June 2013 Contents Section Page 1 Introduction 1 2 Input parameters 2 3 Explanation of MATLAB code 7 4 List of MATLAB
More informationOutage and Capacity of Heterogeneous Cellular Networks with Intra-tier Dependence
Outage and Capacity of Heterogeneous Cellular Networks with Intra-tier Dependence Na Deng, Wuyang Zhou Dept. of Electronic Engineering and Information Science University of Science and Technology of China
More informationJoint impact of pathloss, shadowing and fast fading - An outage formula for wireless networks
Joint impact of pathloss, shadowing and fast fading - An outage formula for wireless networks Impact conjoint de l affaiblissement de parcours, de l effet de masque et des évanouissements rapides. Une
More informationPower Allocation and Coverage for a Relay-Assisted Downlink with Voice Users
Power Allocation and Coverage for a Relay-Assisted Downlink with Voice Users Junjik Bae, Randall Berry, and Michael L. Honig Department of Electrical Engineering and Computer Science Northwestern University,
More informationReview Quantitative Aspects of Networking. Decibels, Power, and Waves John Marsh
Review Quantitative spects of Networking Decibels, ower, and Waves John Marsh Outline Review of quantitative aspects of networking Metric system Numbers with Units Math review exponents and logs Decibel
More informationChannel model. Free space propagation
//06 Channel model Free spae rado propagaton Terrestral propagaton - refleton, dffraton, satterng arge-sale fadng Empral models Small-sale fadng Nose and nterferene Wreless Systems 06 Free spae propagaton
More informationSqueezed states of light - generation and applications
Squeezed states of light - generation and applications Eugeniy E. Mikhailov The College of William & Mary Fudan, December 24, 2013 Eugeniy E. Mikhailov (W&M) Squeezed light Fudan, December 24, 2013 1 /
More informationSignals and Systems: Part 2
Signals and Systems: Part 2 The Fourier transform in 2πf Some important Fourier transforms Some important Fourier transform theorems Convolution and Modulation Ideal filters Fourier transform definitions
More informationFAST POWER CONTROL IN CELLULAR NETWORKS BASED ON SHORT-TERM CORRELATION OF RAYLEIGH FADING
FAST POWER CONTROL IN CELLULAR NETWORKS BASED ON SHORT-TERM CORRELATION OF RAYLEIGH FADING Zvi Rosberg Radio Commun. Systems Lab., KTH, Stockholm, Sweden and Haifa Research Lab., Science and Technology,
More informationLecture 34: MON 13 APR Ch ,5
Physics 2102 Jonathan Dowling James Clerk Maxwell (1831-1879) Lecture 34: MON 13 APR Ch.33.1 3,5 3,5 7: E&M Waves MT03 Avg: 65/100 Q1/P3 K. Schafer Office hours: MW 1:30-2:30 pm 222B Nicholson P1/Q2 J.
More informationPropagation Mechanism Analysis before the Break Point inside Tunnels
Propagation Mechanism Analysis before the Break Point inside Tunnels Ke Guan, Zhangdui Zhong,BoAi and Cesar Briso-Rodríguez State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University,
More informationReciprocal Mixing: The trouble with oscillators
Reciprocal Mixing: The trouble with oscillators Tradeoffs in RX Noise Figure(Sensitivity) Distortion (Linearity) Phase Noise (Aliasing) James Buckwalter Phase Noise Phase noise is the frequency domain
More informationUplink Performance Analysis of Dense Cellular Networks with LoS and NLoS Transmissions
Uplink Performance Analysis of Dense Cellular Networks with LoS and os ransmissions ian Ding, Ming Ding, Guoqiang Mao, Zihuai Lin, David López-Pérez School of Computing and Communications, he University
More informationCoverage in Multi-Antenna Two-Tier Networks
1 Coverage in Multi-Antenna Two-Tier Networks Vikram Chandrasekhar, Marios Kountouris and Jeffrey G. Andrews Abstract arxiv:0902.3210v4 [cs.ni] 20 Mar 2009 In two-tier networks comprising a conventional
More informationHypothesis testing (cont d)
Hypothesis testing (cont d) Ulrich Heintz Brown University 4/12/2016 Ulrich Heintz - PHYS 1560 Lecture 11 1 Hypothesis testing Is our hypothesis about the fundamental physics correct? We will not be able
More informationScilab Textbook Companion for Digital Telephony by J. C. Bellamy 1
Scilab Textbook Companion for Digital Telephony by J. C. Bellamy Created by Harish Shenoy B.Tech Electronics Engineering NMIMS, MPSTME College Teacher Not decided Cross-Checked by TechPassion May 0, 06
More informationSearch Strategies. Basic Problem: where to look? Possible Scenarios Powerful, omnidirectional beacons
Communication, 2. Search Strategies Basic Problem: where to look? Possible Scenarios Powerful, omnidirectional beacons Implies very advanced civilization Seeking to attract attention of new civilizations
More informationCell throughput analysis of the Proportional Fair scheduler in the single cell environment
Cell throughput analysis of the Proportional Fair scheduler in the single cell environment Jin-Ghoo Choi and Seawoong Bahk IEEE Trans on Vehicular Tech, Mar 2007 *** Presented by: Anh H. Nguyen February
More informationSearch Strategies. Basic Problem: where to look? Possible Scenarios Powerful, omnidirectional beacons
Communication, 2. Search Strategies Basic Problem: where to look? Possible Scenarios Powerful, omnidirectional beacons Implies very advanced civilization Seeking to attract attention of new civilizations
More informationOn the Capacity of Distributed Antenna Systems Lin Dai
On the apacity of Distributed Antenna Systems Lin Dai ity University of Hong Kong JWIT 03 ellular Networs () Base Station (BS) Growing demand for high data rate Multiple antennas at the BS side JWIT 03
More informationA Cognitive Radio Tracking System for Indoor Environments
A Cognitive Radio Tracking System for Indoor Environments by Azadeh Kushki A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Graduate Department of Electrical
More informationarxiv: v2 [cs.it] 26 Sep 2017
1 Coverage-Rate Tradeoff in mmwave Heterogeneous Networks with Generalized User Association Chun-Hung Liu arxiv:179.8138v2 cs.it] 26 Sep 217 Abstract In this paper, we first introduce a generalized modeling
More informationOn the User Association and Resource Allocation in HetNets with mmwave Base Stations
On the User Association and Resource Allocation in HetNets with mmwave Base Stations Cirine Chaieb, Zoubeir Mlika, Fatma Abdelkefi and Wessam Ajib Department of Applied Mathematics, Signals, and Communications,
More informationCollaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks
Collaborative Spectrum Sensing in the Presence of Byzantine Attacks in Cognitive Radio Networks Priyank Anand, Ankit Singh Rawat Department of Electrical Engineering Indian Institute of Technology Kanpur
More informationNear Vertical Incidence Skywave (NVIS)
Near Vertical Incidence Skywave (NVIS) Larry Randall WA5BEN WA5BEN@ARRL.NET Revision: 1.4.5 Issue Date: 17 October 2007 Topics Terminology Why do we need NVIS Defining NVIS Relationship between Path Length
More informationGiuseppe Bianchi, Ilenia Tinnirello
Powe units - ecibel Decibel (B): logaithmic unit of intensity use to inicate powe lost o gaine between two signals Name afte Alexane Gaham Bell. ( ) log P P 1 / Decibels - Bm» Not much use by us 1BW30Bm
More informationAntenna Placement for Downlink Distributed Antenna Systems with Selection Transmission
Antenna Placement for Downlink Distributed Antenna Systems with Selection Transmission unsung Park, Student Member, I, and Inkyu Lee, Senior Member, I School of lectrical ng., Korea University, Seoul,
More informationSolar Radiophysics with HF Radar
Solar Radiophysics with HF Radar Workshop on Solar Radiophysics With the Frequency Agile Solar Radiotelescope (FASR) 23-25 May 2002 Green Bank, WV Paul Rodriguez Information Technology Division Naval Research
More informationFront Inform Technol Electron Eng
Interference coordination in full-duplex HetNet with large-scale antenna arrays Zhao-yang ZHANG, Wei LYU Zhejiang University Key words: Massive MIMO; Full-duplex; Small cell; Wireless backhaul; Distributed
More informationStatistical modelling of TV interference for shared-spectrum devices
Statistical modelling of TV interference for shared-spectrum devices Industrial mathematics sktp Project Jamie Fairbrother Keith Briggs Wireless Research Group BT Technology, Service & Operations St. Catherine
More informationAnalysis of Receiver Quantization in Wireless Communication Systems
Analysis of Receiver Quantization in Wireless Communication Systems Theory and Implementation Gareth B. Middleton Committee: Dr. Behnaam Aazhang Dr. Ashutosh Sabharwal Dr. Joseph Cavallaro 18 April 2007
More informationDRAFT FOR IEEE JOURNAL, VOL. XX, NO. XX, MONTH
DRAFT FOR IEEE JOURNAL, VOL. XX, NO. XX, MONTH 27 On Muting Mobile Terminals for Uplink Interference Mitigation in HetNets System-Level Analysis via Stochastic Geometry F. J. Martin-Vega, M. C. Aguayo-Torres,
More informationQuantum optics and squeezed states of light
Quantum optics and squeezed states of light Eugeniy E. Mikhailov The College of William & Mary June 15, 2012 Eugeniy E. Mikhailov (W&M) Quantum optics June 15, 2012 1 / 44 From ray optics to semiclassical
More informationDiffraction. 1 Knife-Edge Diffraction. Diffraction Page 1
Diffraction Page 1 Diffraction We know propagation mechanisms exist that allow us to receive signals even if there is no lineof-sight path to the receiver. Reflections off of objects is one propagation
More informationReliability of Radio-mobile systems considering fading and shadowing channels
Reliability of Radio-mobile systems considering fading and shadowing channels Philippe Mary ETIS UMR 8051 CNRS, ENSEA, Univ. Cergy-Pontoise, 6 avenue du Ponceau, 95014 Cergy, France Philippe Mary 1 / 32
More informationThe Challenge is to Define: System Engineering. System Engineering Components. Functional Requirements
The Challenge is to Define: System Engineering What it is supposed to do How well it must do it It s constituant parts and how they play together We are not prepared for detail design, assembly and test
More informationChapter 2 Propagation Modeling
Chapter 2 Propagation Modeling The design of spectrally efficient wireless communication systems requires a thorough understanding of the radio propagation channel. The characteristics of the radio channel
More informationGao, Xiang; Zhu, Meifang; Rusek, Fredrik; Tufvesson, Fredrik; Edfors, Ove
Large antenna array and propagation environment interaction Gao, Xiang; Zhu, Meifang; Rusek, Fredrik; Tufvesson, Fredrik; Edfors, Ove Published in: Proc. 48th Asilomar Conference on Signals, Systems and
More informationQuantum enhanced magnetometer and squeezed state of light tunable filter
Quantum enhanced magnetometer and squeezed state of light tunable filter Eugeniy E. Mikhailov The College of William & Mary October 5, 22 Eugeniy E. Mikhailov (W&M) Squeezed light October 5, 22 / 42 Transition
More informationANALYSIS OF A PARTIAL DECORRELATOR IN A MULTI-CELL DS/CDMA SYSTEM
ANAYSIS OF A PARTIA DECORREATOR IN A MUTI-CE DS/CDMA SYSTEM Mohammad Saquib ECE Department, SU Baton Rouge, A 70803-590 e-mail: saquib@winlab.rutgers.edu Roy Yates WINAB, Rutgers University Piscataway
More information