Effective Carrier Sensing in CSMA Networks under Cumulative Interference
|
|
- Noel Bruce
- 5 years ago
- Views:
Transcription
1 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
2 Introduction Broadcast nature of wireless media interference Interference-safe (collision free) transmission MA protocol: coordinate with carrier sensing Sense before transmit Operate interference-safe transmissions in MA networks? Effective Carrier Sensing in MA Networks under Cumulative Interference 2
3 Overview Requirement of Interference Safe in MA Network Real Interference in Practice: Cumulative interference safe carrier-sensing range Implementation: IP Incremental-Power Carrier Sense Incremental Power range concept IP can improve spatial reuse and network throughput Effective Carrier Sensing in MA Networks under Cumulative Interference 3
4 Safe carrier-sensing range Under pair-wise interference model [1] The interferences are considered one by one No collision between any pair No collision overall Safe carrier sensing range requirement For example, if γ = 8 and α = 3, 1 α Safe R = ( γ + 2) d pairwise then Safe R = 4d pairwise [1] L.B. Jiang and S.C. Liew, Hidden-node Removal and Its Application in Cellular WiFi Networks IEEE Trans. Veh. Technol. Vol. 56. no. 5, Sep Effective Carrier Sensing in MA Networks under Cumulative Interference 4
5 Safe carrier-sensing range However, in practice Interference is cumulative 1 Safe R = ( γ α + 2) d is too optimistic pairwise γ = 8, α = 3 Safe R = 4d pairwise 3 Pt ( d ) ( 6 ) + ( 2 ) SIR( R1 ) = = < γ 3 3 P d P d t t Not sufficient to prevent collisions under cumulative interference Effective Carrier Sensing in MA Networks under Cumulative Interference 5
6 Under cumulative interference model Theorem: Setting the carrier sensing range as 1 α, where Safe Rcumulative = ( K + 2) d 2 1 K = 6γ 1+ 3 α 2 is sufficient to ensure interference-safe transmissions in MA networks under cumulative interference model. γ = 8 α = 3, Worst-case interference in an infinite large network The safe carrier sensing range need to be increased Safe R = 4d Not amendable with current carrier sensing in P P is an absolute power: consists of the sum total powers Detect a power compare with a power threshold pairwise Does not contain enough information for all the required distances α Safe R = 6.96d cumulative Pth Effective Carrier Sensing in MA Networks under Cumulative Interference 6
7 Implementation: IP IP (Incremental-Power Carrier Sense) The detected power is a function of time Key idea: incremental power required distance information Check every increment with a power threshold P () t Separate the interference one by one Interference safe : ( ) P = P Safe R th t cumulative α Effective Carrier Sensing in MA Networks under Cumulative Interference 7
8 Comparison current carrier sensing in v.s. IP Absolute power v.s. incremental power Current carrier sensing reduces spatial reuse The location of the third concurrent link Current IP α ( ) ( ) P ( T ) = Pd T, T + Pd T, T l 3 3 t 3 1 t 3 2 ( ) = 2 Pd TT, P t 3 1 α th α ' ( ) ' ( ) α Δ P3 ( t1) = Pt d T3, T1 Pth α Δ P3 ( t2) = Pt d T3, T2 Pth l 3 ' The separation between transmitters increases progressively ΔP ( t ) 3 1 ΔP ( t ) 3 2 Effective Carrier Sensing in MA Networks under Cumulative Interference 8
9 Throughput Improvement Ideal packing of transmitters: improve by 60% 3 2 unit area: ( ) 2 Safe R cumulative Effective Carrier Sensing in MA Networks under Cumulative Interference 9
10 Conclusion Propose the concept of the safe carrier sensing range under the cumulative interference model Propose a new carrier sensing mechanism, IP, to implement accurately IP is the bridge between theoretical analysis and the real protocol in practice IP can improve spatial reuse and network throughput. Effective Carrier Sensing in MA Networks under Cumulative Interference 10
11 Thanks!
Synchronization in Physical- Layer Network Coding
Synchronization in Physical- Layer Network Coding Soung Liew Institute of Network Coding The Chinese University of Hong Kong Slides in this talk based on partial content in Physical-layer Network Coding:
More informationDEVICE-TO-DEVICE COMMUNICATIONS: THE PHYSICAL LAYER SECURITY ADVANTAGE
DEVICE-TO-DEVICE COMMUNICATIONS: THE PHYSICAL LAYER SECURITY ADVANTAGE Daohua Zhu, A. Lee Swindlehurst, S. Ali A. Fakoorian, Wei Xu, Chunming Zhao National Mobile Communications Research Lab, Southeast
More informationOn Selfish Behavior in CSMA/CA Networks
On Selfish Behavior in CSMA/CA Networks Mario Čagalj1 Saurabh Ganeriwal 2 Imad Aad 1 Jean-Pierre Hubaux 1 1 LCA-IC-EPFL 2 NESL-EE-UCLA March 17, 2005 - IEEE Infocom 2005 - Introduction CSMA/CA is the most
More informationP e = 0.1. P e = 0.01
23 10 0 10-2 P e = 0.1 Deadline Failure Probability 10-4 10-6 10-8 P e = 0.01 10-10 P e = 0.001 10-12 10 11 12 13 14 15 16 Number of Slots in a Frame Fig. 10. The deadline failure probability as a function
More informationSTABILITY OF FINITE-USER SLOTTED ALOHA UNDER PARTIAL INTERFERENCE IN WIRELESS MESH NETWORKS
The 8th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 7) STABILITY OF FINITE-USER SLOTTED ALOHA UNDER PARTIAL INTERFERENCE IN WIRELESS MESH NETWORKS Ka-Hung
More informationDistributed Power Control for Time Varying Wireless Networks: Optimality and Convergence
Distributed Power Control for Time Varying Wireless Networks: Optimality and Convergence Tim Holliday, Nick Bambos, Peter Glynn, Andrea Goldsmith Stanford University Abstract This paper presents a new
More informationHow do Wireless Chains Behave? The Impact of MAC Interactions
The Impact of MAC Interactions S. Razak 1 Vinay Kolar 2 N. Abu-Ghazaleh 1 K. Harras 1 1 Department of Computer Science Carnegie Mellon University, Qatar 2 Department of Wireless Networks RWTH Aachen University,
More informationANALYSIS OF THE RTS/CTS MULTIPLE ACCESS SCHEME WITH CAPTURE EFFECT
ANALYSIS OF THE RTS/CTS MULTIPLE ACCESS SCHEME WITH CAPTURE EFFECT Chin Keong Ho Eindhoven University of Technology Eindhoven, The Netherlands Jean-Paul M. G. Linnartz Philips Research Laboratories Eindhoven,
More informationMaximum Sum Rate of Slotted Aloha with Capture
Maximum Sum Rate of Slotted Aloha with Capture Yitong Li and Lin Dai, Senior Member, IEEE arxiv:50.03380v3 [cs.it] 7 Dec 205 Abstract The sum rate performance of random-access networks crucially depends
More informationExploiting Quantization Uncertainty for Enhancing Capacity of Limited-Feedback MISO Ad Hoc Networks
Exploiting Quantization Uncertainty for Enhancing Capacity of Limited-Feedback MISO Ad Hoc Networks Mohammad G. Khoshkholgh, A. A. Haghighi @, Keivan Navaie, Kang G. Shin, Victor C. M. Leung The University
More informationOptimal Harvest-or-Transmit Strategy for Energy Harvesting Underlay Cognitive Radio Network
Optimal Harvest-or-Transmit Strategy for Energy Harvesting Underlay Cognitive Radio Network Kalpant Pathak and Adrish Banerjee Department of Electrical Engineering, Indian Institute of Technology Kanpur,
More informationOn queueing in coded networks queue size follows degrees of freedom
On queueing in coded networks queue size follows degrees of freedom Jay Kumar Sundararajan, Devavrat Shah, Muriel Médard Laboratory for Information and Decision Systems, Massachusetts Institute of Technology,
More informationHalf-Duplex Gaussian Relay Networks with Interference Processing Relays
Half-Duplex Gaussian Relay Networks with Interference Processing Relays Bama Muthuramalingam Srikrishna Bhashyam Andrew Thangaraj Department of Electrical Engineering Indian Institute of Technology Madras
More informationPower Laws in ALOHA Systems
Power Laws in ALOHA Systems E6083: lecture 8 Prof. Predrag R. Jelenković Dept. of Electrical Engineering Columbia University, NY 10027, USA predrag@ee.columbia.edu March 6, 2007 Jelenković (Columbia University)
More informationFully-distributed spectrum sensing: application to cognitive radio
Fully-distributed spectrum sensing: application to cognitive radio Philippe Ciblat Dpt Comelec, Télécom ParisTech Joint work with F. Iutzeler (PhD student funded by DGA grant) Cognitive radio principle
More informationPOWER CONTROL plays an important role in the design of
1566 IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 52, NO. 9, SEPTEMBER 2004 Convergence Theorem for a General Class of Power-Control Algorithms Kin Kwong Leung, Chi Wan Sung, Member, IEEE, Wing Shing Wong,
More informationDETERMINING the information theoretic capacity of
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 6, NO. 7, JULY 007 369 Transactions Letters Outage Capacity and Optimal Power Allocation for Multiple Time-Scale Parallel Fading Channels Subhrakanti
More informationWireless Internet Exercises
Wireless Internet Exercises Prof. Alessandro Redondi 2018-05-28 1 WLAN 1.1 Exercise 1 A Wi-Fi network has the following features: Physical layer transmission rate: 54 Mbps MAC layer header: 28 bytes MAC
More informationA Capacity Upper Bound for Large Wireless Networks with Generally Distributed Nodes
Capacity Upper Bound for Large Wireless Networks with Generally Distributed Nodes Guoqiang Mao, Zihuai Lin School of Electrical and Information Engineering The University of Sydney Email: {guoqiang.mao,
More informationDISTRIBUTED, CONFIDENCE-BASED LOCALIZATION FOR MOBILE SDRS
DISTRIBUTED, CONFIDENCE-BASED LOCALIZATION FOR MOBILE SDRS David Brady (ECE Dept, brady@ece.neu.edu) Mieczyslaw Kokar (ECE Dept, mkokar@coe.neu.edu) Kenneth Baclawski (College of CS, kenb@ccs.neu.edu)
More informationEUSIPCO
EUSIPCO 3 569736677 FULLY ISTRIBUTE SIGNAL ETECTION: APPLICATION TO COGNITIVE RAIO Franc Iutzeler Philippe Ciblat Telecom ParisTech, 46 rue Barrault 753 Paris, France email: firstnamelastname@telecom-paristechfr
More informationInformation in Aloha Networks
Achieving Proportional Fairness using Local Information in Aloha Networks Koushik Kar, Saswati Sarkar, Leandros Tassiulas Abstract We address the problem of attaining proportionally fair rates using Aloha
More informationCharacterizing Interference in Wireless Mesh Networks
Characterizing Interference in Wireless Mesh Networks HUI, Ka Hung A Thesis Submitted in Partial Fulfilment of the Requirements for the Degree of Master of Philosophy in Information Engineering c The Chinese
More informationOn the Throughput-Optimality of CSMA Policies in Multihop Wireless Networks
Technical Report Computer Networks Research Lab Department of Computer Science University of Toronto CNRL-08-002 August 29th, 2008 On the Throughput-Optimality of CSMA Policies in Multihop Wireless Networks
More informationPower Controlled FCFS Splitting Algorithm for Wireless Networks
Power Controlled FCFS Splitting Algorithm for Wireless Networks Ashutosh Deepak Gore Abhay Karandikar Department of Electrical Engineering Indian Institute of Technology - Bombay COMNET Workshop, July
More informationTRANSMISSION STRATEGIES FOR SINGLE-DESTINATION WIRELESS NETWORKS
The 20 Military Communications Conference - Track - Waveforms and Signal Processing TRANSMISSION STRATEGIES FOR SINGLE-DESTINATION WIRELESS NETWORKS Gam D. Nguyen, Jeffrey E. Wieselthier 2, Sastry Kompella,
More informationMODELING INTERFERENCE IN FINITE UNIFORMLY RANDOM NETWORKS
MODELING INTERFERENCE IN FINITE UNIFORMLY RANDOM NETWORKS Sunil Srinivasa Department of Electrical Engineering University of Notre Dame Notre Dame, IN 46556, USA ssriniv1@nd.edu Martin Haenggi Department
More informationContinuous-Model Communication Complexity with Application in Distributed Resource Allocation in Wireless Ad hoc Networks
Continuous-Model Communication Complexity with Application in Distributed Resource Allocation in Wireless Ad hoc Networks Husheng Li 1 and Huaiyu Dai 2 1 Department of Electrical Engineering and Computer
More informationOn the Optimality of Multiuser Zero-Forcing Precoding in MIMO Broadcast Channels
On the Optimality of Multiuser Zero-Forcing Precoding in MIMO Broadcast Channels Saeed Kaviani and Witold A. Krzymień University of Alberta / TRLabs, Edmonton, Alberta, Canada T6G 2V4 E-mail: {saeed,wa}@ece.ualberta.ca
More informationA POMDP Framework for Cognitive MAC Based on Primary Feedback Exploitation
A POMDP Framework for Cognitive MAC Based on Primary Feedback Exploitation Karim G. Seddik and Amr A. El-Sherif 2 Electronics and Communications Engineering Department, American University in Cairo, New
More informationPower Control in Random Networks: The Effect of Disorder in User Positions
8th International Workshop on Spatial Stochastic Models for Wireless Networks, 4 May 202 Power Control in Random Networks: The Effect of Disorder in User Positions Aris L. Moustakas Physics Dept., Univ.
More informationThe Factor: Inferring Protocol Performance Using Inter-link Reception Correlation
The Factor: Inferring Protocol Performance Using Inter-link Reception Correlation Kannan Srinivasan, Mayank Jain, Jung Il Choi, Tahir Azim, Edward S Kim, Philip Levis and Bhaskar Krishnamachari MobiCom
More informationDistributed Approaches for Proportional and Max-Min Fairness in Random Access Ad Hoc Networks
Distributed Approaches for Proportional and Max-Min Fairness in Random Access Ad Hoc Networks Xin Wang, Koushik Kar Department of Electrical, Computer and Systems Engineering, Rensselaer Polytechnic Institute,
More informationInternational Journal of Modern Trends in Engineering and Research e-issn No.: , Date: 2-4 July, 2015
International Journal of Modern Trends in Engineering and Research www.ijmter.com e-issn No.:2349-9745, Date: 2-4 July, 2015 Multiple Primary User Spectrum Sensing Using John s Detector at Low SNR Haribhau
More informationDesign and Construction of Protocol Sequences: Shift Invariance and User Irrepressibility
Design and Construction of Protocol Sequences: Shift Invariance and User Irrepressibility Kenneth W. Shum, Wing Shing Wong Dept. of Information Engineering The Chinese University of Hong Kong Shatin, Hong
More informationEnergy Harvesting Multiple Access Channel with Peak Temperature Constraints
Energy Harvesting Multiple Access Channel with Peak Temperature Constraints Abdulrahman Baknina, Omur Ozel 2, and Sennur Ulukus Department of Electrical and Computer Engineering, University of Maryland,
More informationCooperative HARQ with Poisson Interference and Opportunistic Routing
Cooperative HARQ with Poisson Interference and Opportunistic Routing Amogh Rajanna & Mostafa Kaveh Department of Electrical and Computer Engineering University of Minnesota, Minneapolis, MN USA. Outline
More informationMulti-User Gain Maximum Eigenmode Beamforming, and IDMA. Peng Wang and Li Ping City University of Hong Kong
Multi-User Gain Maximum Eigenmode Beamforming, and IDMA Peng Wang and Li Ping City University of Hong Kong 1 Contents Introduction Multi-user gain (MUG) Maximum eigenmode beamforming (MEB) MEB performance
More informationMathematical Analysis of IEEE Energy Efficiency
Information Engineering Department University of Padova Mathematical Analysis of IEEE 802.11 Energy Efficiency A. Zanella and F. De Pellegrini IEEE WPMC 2004 Padova, Sept. 12 15, 2004 A. Zanella and F.
More informationENERGY harvesting (EH), a technology to collect energy. Optimal Relaying in Energy Harvesting Wireless Networks with Wireless-Powered Relays
Optimal elaying in Energy Harvesting Wireless Networks with Wireless-Powered elays Masoumeh Moradian, tudent Member, IEEE, Farid Ashtiani, Member, IEEE, and Ying Jun (Angela) Zhang, enior Member, IEEE
More informationWireless Network Pricing Chapter 6: Oligopoly Pricing
Wireless Network Pricing Chapter 6: Oligopoly Pricing Jianwei Huang & Lin Gao Network Communications and Economics Lab (NCEL) Information Engineering Department The Chinese University of Hong Kong Huang
More informationComputation of Bit-Error Rate of Coherent and Non-Coherent Detection M-Ary PSK With Gray Code in BFWA Systems
Computation of Bit-Error Rate of Coherent and Non-Coherent Detection M-Ary PSK With Gray Code in BFWA Systems Department of Electrical Engineering, College of Engineering, Basrah University Basrah Iraq,
More informationOn Network Interference Management
On Network Interference Management Aleksandar Jovičić, Hua Wang and Pramod Viswanath March 3, 2008 Abstract We study two building-block models of interference-limited wireless networks, motivated by the
More informationSecrecy Outage Performance of Cooperative Relay Network With Diversity Combining
Secrecy Outage erformance of Cooperative Relay Network With Diversity Combining Khyati Chopra Dept. of lectrical ngineering Indian Institute of Technology, Delhi New Delhi-110016, India mail: eez148071@ee.iitd.ac.in
More informationUSING multiple antennas has been shown to increase the
IEEE TRANSACTIONS ON COMMUNICATIONS, VOL. 55, NO. 1, JANUARY 2007 11 A Comparison of Time-Sharing, DPC, and Beamforming for MIMO Broadcast Channels With Many Users Masoud Sharif, Member, IEEE, and Babak
More informationarxiv: v2 [cs.it] 15 May 2016
Noname manuscript No. (will be inserted by the editor Partially user-irrepressible sequence sets and conflict-avoiding codes Yuan-Hsun Lo Wing Shing Wong Hung-Lin Fu Received: date / Accepted: date arxiv:1412.6133v2
More informationOnline Scheduling for Energy Harvesting Broadcast Channels with Finite Battery
Online Scheduling for Energy Harvesting Broadcast Channels with Finite Battery Abdulrahman Baknina Sennur Ulukus Department of Electrical and Computer Engineering University of Maryland, College Park,
More informationThroughput-Delay Analysis of Random Linear Network Coding for Wireless Broadcasting
Throughput-Delay Analysis of Random Linear Network Coding for Wireless Broadcasting Swapna B.T., Atilla Eryilmaz, and Ness B. Shroff Departments of ECE and CSE The Ohio State University Columbus, OH 43210
More informationMaximum-Weighted Subset of Communication Requests Schedulable without Spectral Splitting
Maximum-Weighted Subset of Communication Requests Schedulable without Spectral Splitting Peng-Jun Wan, Huaqiang Yuan, Xiaohua Jia, Jiliang Wang, and Zhu Wang School of Computer Science, Dongguan University
More informationOutage and Local Throughput and Capacity of Random Wireless Networks
Outage and Local Throughput and Capacity of Random Wireless Networks 1 Martin Haenggi, Senior Member, IEEE arxiv:86.99v1 [cs.it] 5 Jun 28 Abstract Outage probabilities and single-hop throughput are two
More informationOutage Probability for Two-Way Solar-Powered Relay Networks with Stochastic Scheduling
Outage Probability for Two-Way Solar-Powered Relay Networks with Stochastic Scheduling Wei Li, Meng-Lin Ku, Yan Chen, and K. J. Ray Liu Department of Electrical and Computer Engineering, University of
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 informationData Gathering and Personalized Broadcasting in Radio Grids with Interferences
Data Gathering and Personalized Broadcasting in Radio Grids with Interferences Jean-Claude Bermond a,, Bi Li a,b, Nicolas Nisse a, Hervé Rivano c, Min-Li Yu d a Coati Project, INRIA I3S(CNRS/UNSA), Sophia
More informationWiFi MAC Models David Malone
WiFi MAC Models David Malone November 26, MACSI Hamilton Institute, NUIM, Ireland Talk outline Introducing the 82.11 CSMA/CA MAC. Finite load 82.11 model and its predictions. Issues with standard 82.11,
More informationPhase Precoded Compute-and-Forward with Partial Feedback
Phase Precoded Compute-and-Forward with Partial Feedback Amin Sakzad, Emanuele Viterbo Dept. Elec. & Comp. Sys. Monash University, Australia amin.sakzad,emanuele.viterbo@monash.edu Joseph Boutros, Dept.
More informationMachine-Type Communication with Random Access and Data Aggregation: A Stochastic Geometry Approach
Machine-Type Communication with Random Access and Data Aggregation: A Stochastic Geometry Approach Jing Guo, Salman Durrani, Xiangyun Zhou, and Halim Yanikomeroglu Research School of Engineering, The Australian
More informationLan Performance LAB Ethernet : CSMA/CD TOKEN RING: TOKEN
Lan Performance LAB Ethernet : CSMA/CD TOKEN RING: TOKEN Ethernet Frame Format 7 b y te s 1 b y te 2 o r 6 b y te s 2 o r 6 b y te s 2 b y te s 4-1 5 0 0 b y te s 4 b y te s P r e a m b le S ta r t F r
More informationII. THE TWO-WAY TWO-RELAY CHANNEL
An Achievable Rate Region for the Two-Way Two-Relay Channel Jonathan Ponniah Liang-Liang Xie Department of Electrical Computer Engineering, University of Waterloo, Canada Abstract We propose an achievable
More informationDEDI: A Framework for Analyzing Rank Evolution of Random Network Coding in a Wireless Network
DEDI: A Framework for Analyzing Rank Evolution of Random Network Coding in a Wireless Network Dan Zhang Narayan Mandayam and Shyam Parekh WINLAB, Rutgers University 671 Route 1 South, North Brunswick,
More informationNetworks: space-time stochastic models for networks
Mobile and Delay Tolerant Networks: space-time stochastic models for networks Philippe Jacquet Alcatel-Lucent Bell Labs France Plan of the talk Short history of wireless networking Information in space-time
More informationMessage Delivery Probability of Two-Hop Relay with Erasure Coding in MANETs
01 7th International ICST Conference on Communications and Networking in China (CHINACOM) Message Delivery Probability of Two-Hop Relay with Erasure Coding in MANETs Jiajia Liu Tohoku University Sendai,
More informationRepeated Inter-Session Network Coding Games: Efficiency and Min-Max Bargaining Solution
Repeated Inter-Session Networ Coding Games: Efficiency and Min-Max Bargaining Solution Hamed Mohsenian-Rad, Member, IEEE, Jianwei Huang, Senior Member, IEEE, Vincent W.S. Wong, Senior Member, IEEE, and
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 informationRobust Performance of Spectrum Sensing in. Cognitive Radio Networks
Robust Performance of Spectrum Sensing in 1 Cognitive Radio Networks Shimin Gong, Ping Wang, Jianwei Huang Abstract The successful coexistence of secondary users (SUs) and primary users (PUs) in cognitive
More informationCollision-free scheduling: Complexity of Interference Models
Collision-free scheduling: Complexity of Interference Models Anil Vullikanti Department of Computer Science, and Virginia Bioinformatics Institute, Virginia Tech Anil Vullikanti (Virginia Tech) 1/12 Link
More informationDistributed Robust Optimization (DRO) Part II: Wireless Power Control
Springer Optimization and Engineering manuscript No. (will be inserted by the editor) Distributed Robust Optimization (DRO) Part II: Wireless Power Control Yihong Wu Kai Yang Jianwei Huang Xiaodong Wang
More informationA comparison of Aloha and CSMA in Wireless Ad-Hoc Networks under Different Channel Conditions
A comparison of Aloha and in Wireless Ad-Hoc Networks under Different Channel Conditions Bartlomiej Blaszczyszyn, Paul Muhlethaler, Skander Banaouas To cite this version: Bartlomiej Blaszczyszyn, Paul
More informationarxiv: v1 [cs.it] 14 Mar 2018
SYMBOL-LEVEL PRECODING IS SYMBOL-PERTURBED ZF WHEN ENERGY EFFICIENCY IS SOUGHT Yatao Liu and Wing-Kin Ma Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China
More informationSpectrum Sharing in RF-Powered Cognitive Radio Networks using Game Theory
Spectrum Sharing in RF-owered Cognitive Radio Networks using Theory Yuanye Ma, He Henry Chen, Zihuai Lin, Branka Vucetic, Xu Li The University of Sydney, Sydney, Australia, Email: yuanye.ma, he.chen, zihuai.lin,
More informationScaling Laws of Single-Hop Cognitive Networks
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, VOL. 8, NO. 8, AUGUST 2009 4089 Scaling Laws of Single-Hop Cognitive Networks Mai Vu and Vahid Tarokh Abstract We consider a cognitive network consisting of
More informationComputing and Communicating Functions over Sensor Networks
Computing and Communicating Functions over Sensor Networks Solmaz Torabi Dept. of Electrical and Computer Engineering Drexel University solmaz.t@drexel.edu Advisor: Dr. John M. Walsh 1/35 1 Refrences [1]
More informationThe ergodic rate density of slotted and unslotted CSMA ad-hoc networks
he ergodic rate density of slotted and unslotted CSMA ad-hoc networks 1 Yaniv George, Itsik Bergel, Senior Member, IEEE, Abstract he performance of random Wireless Ad-hoc Networks WANEs) is primarily limited
More informationOptimal Utility-Lifetime Trade-off in Self-regulating Wireless Sensor Networks: A Distributed Approach
Optimal Utility-Lifetime Trade-off in Self-regulating Wireless Sensor Networks: A Distributed Approach Hithesh Nama, WINLAB, Rutgers University Dr. Narayan Mandayam, WINLAB, Rutgers University Joint work
More informationEE 550: Notes on Markov chains, Travel Times, and Opportunistic Routing
EE 550: Notes on Markov chains, Travel Times, and Opportunistic Routing Michael J. Neely University of Southern California http://www-bcf.usc.edu/ mjneely 1 Abstract This collection of notes provides a
More informationALOHA Performs Optimal Power Control in Poisson Networks
ALOHA erforms Optimal ower Control in oisson Networks Xinchen Zhang and Martin Haenggi Department of Electrical Engineering University of Notre Dame Notre Dame, IN 46556, USA {xzhang7,mhaenggi}@nd.edu
More informationBroadcasting with a Battery Limited Energy Harvesting Rechargeable Transmitter
roadcasting with a attery Limited Energy Harvesting Rechargeable Transmitter Omur Ozel, Jing Yang 2, and Sennur Ulukus Department of Electrical and Computer Engineering, University of Maryland, College
More informationCooperative Energy Harvesting Communications with Relaying and Energy Sharing
Cooperative Energy Harvesting Communications with Relaying and Energy Sharing Kaya Tutuncuoglu and Aylin Yener Department of Electrical Engineering The Pennsylvania State University, University Park, PA
More informationOn the Stability and Optimal Decentralized Throughput of CSMA with Multipacket Reception Capability
On the Stability and Optimal Decentralized Throughput of CSMA with Multipacket Reception Capability Douglas S. Chan Toby Berger Lang Tong School of Electrical & Computer Engineering Cornell University,
More informationOptimization of the Hamming Code for Error Prone Media
Optimization of the Hamming Code for Error Prone Media Eltayeb Abuelyaman and Abdul-Aziz Al-Sehibani College of Computer and Information Sciences Prince Sultan University Abuelyaman@psu.edu.sa Summery
More informationOptimization of Multiuser MIMO Networks with Interference
Optimization of Multiuser MIMO Networks with Interference Jia Liu, Y. Thomas Hou, Yi Shi, and Hanif D. Sherali Department of Electrical and Computer Engineering Department of Industrial and Systems Engineering
More informationRandom Matrices and Wireless Communications
Random Matrices and Wireless Communications Jamie Evans Centre for Ultra-Broadband Information Networks (CUBIN) Department of Electrical and Electronic Engineering University of Melbourne 3.5 1 3 0.8 2.5
More informationNOMA: Principles and Recent Results
NOMA: Principles and Recent Results Jinho Choi School of EECS GIST September 2017 (VTC-Fall 2017) 1 / 46 Abstract: Non-orthogonal multiple access (NOMA) becomes a key technology in 5G as it can improve
More informationOptimization of the Hamming Code for Error Prone Media
278 IJCSNS International Journal of Computer Science and Network Security, VOL.8 No.3, March 2008 Optimization of the Hamming Code for Error Prone Media Eltayeb S. Abuelyaman and Abdul-Aziz S. Al-Sehibani
More informationLimited Feedback in Wireless Communication Systems
Limited Feedback in Wireless Communication Systems - Summary of An Overview of Limited Feedback in Wireless Communication Systems Gwanmo Ku May 14, 17, and 21, 2013 Outline Transmitter Ant. 1 Channel N
More informationCooperative Spectrum Sensing for Cognitive Radios under Bandwidth Constraints
Cooperative Spectrum Sensing for Cognitive Radios under Bandwidth Constraints Chunhua Sun, Wei Zhang, and haled Ben Letaief, Fellow, IEEE Department of Electronic and Computer Engineering The Hong ong
More informationCognitive Spectrum Access Control Based on Intrinsic Primary ARQ Information
Cognitive Spectrum Access Control Based on Intrinsic Primary ARQ Information Fabio E. Lapiccirella, Zhi Ding and Xin Liu Electrical and Computer Engineering University of California, Davis, California
More informationChannel Selection in Cognitive Radio Networks with Opportunistic RF Energy Harvesting
1 Channel Selection in Cognitive Radio Networks with Opportunistic RF Energy Harvesting Dusit Niyato 1, Ping Wang 1, and Dong In Kim 2 1 School of Computer Engineering, Nanyang Technological University
More informationAsynchronous Physical-layer Network Coding
Asynchronous Physical-layer Network Coding Lu Lu, Student Member, IEEE, and Soung Chang Liew, Senior Member, IEEE Abstract arxiv:1105.3144v4 [cs.it] 5 Jun 2011 A key issue in physical-layer network coding
More informationEM Channel Estimation and Data Detection for MIMO-CDMA Systems over Slow-Fading Channels
EM Channel Estimation and Data Detection for MIMO-CDMA Systems over Slow-Fading Channels Ayman Assra 1, Walaa Hamouda 1, and Amr Youssef 1 Department of Electrical and Computer Engineering Concordia Institute
More informationA Tractable Framework for Exact Probability. of Node Isolation and Minimum Node Degree. Distribution in Finite Multi-hop Networks
A Tractable Framework for Exact Probability of Node Isolation and Minimum Node Degree Distribution in Finite Multi-hop Networks arxiv:22.283v3 [cs.it] 29 Nov 203 Zubair Khalid, Member, IEEE, Salman Durrani,
More informationA Precoding Method for Multiple Antenna System on the Riemannian Manifold
Journal of Communications Vol. 9, No. 2, February 2014 A Precoding Method for Multiple Antenna System on the Riemannian Manifold Lin Zhang1 and S. H. Leung2 1 Department of Electronic Engineering, City
More informationFinite-State Markov Chain Approximation for Geometric Mean of MIMO Eigenmodes
Finite-State Markov Chain Approximation for Geometric Mean of MIMO Eigenmodes Ping-Heng Kuo Information and Communication Laboratory Industrial Technology Research Institute (ITRI) Hsinchu, Taiwan pinghengkuo@itri.org.tw
More informationCoding for Network-Coded Slotted ALOHA
Coding for Networ-Coded Slotted ALOHA Shenghao Yang, Yi Chen, Soung Chang Liew and Lizhao You Institute of Networ Coding, Information Engineering, The Chinese University of Hong Kong, Hong Kong, China
More informationTutorial (4) Problem (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
More informationShortest Link Scheduling with Power Control under Physical Interference Model
2010 Sixth International Conference on Mobile Ad-hoc and Sensor Networks Shortest Link Scheduling with Power Control under Physical Interference Model Peng-Jun Wan Xiaohua Xu Department of Computer Science
More informationTCP over Cognitive Radio Channels
1/43 TCP over Cognitive Radio Channels Sudheer Poojary Department of ECE, Indian Institute of Science, Bangalore IEEE-IISc I-YES seminar 19 May 2016 2/43 Acknowledgments The work presented here was done
More informationOptimal Physical Carrier Sense for Maximizing Network Capacity in Multi-hop Wireless Networks
Optimal Physical Carrier Sense for Maximizing Network Capacity in Multi-hop Wireless Networks Kyung-Joon Park, Jihyuk Choi, and Jennifer C. Hou Department of Computer Science University of Illinois at
More informationLower Bounds on the Graphical Complexity of Finite-Length LDPC Codes
Lower Bounds on the Graphical Complexity of Finite-Length LDPC Codes Igal Sason Department of Electrical Engineering Technion - Israel Institute of Technology Haifa 32000, Israel 2009 IEEE International
More informationdistributed approaches For Proportional and max-min fairness in random access ad-hoc networks
distributed approaches For Proportional and max-min fairness in random access ad-hoc networks Xin Wang, Koushik Kar Rensselaer Polytechnic Institute OUTline Introduction Motivation and System model Proportional
More informationarxiv: v1 [cs.dc] 30 Mar 2015
Uniform Information Exchange in Multi-channel Wireless Ad Hoc Networks arxiv:1503.08570v1 [cs.dc] 30 Mar 2015 Li Ning Center for High Performance Computing Shenzhen Institutes of Advanced Technology, CAS
More information