Multi-Input Multi-Output Systems (MIMO) Channel Model for MIMO MIMO Decoding MIMO Gains Multi-User MIMO Systems
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1 Multi-Input Multi-Output Systems (MIMO) Channel Model for MIMO MIMO Decoding MIMO Gains Multi-User MIMO Systems
2 Multi-Input Multi-Output Systems (MIMO) Channel Model for MIMO MIMO Decoding MIMO Gains Multi-User MIMO Systems
3 MIMO Each node has multiple antennas Capable of transmitting (receiving) multiple streams concurrently Exploit antenna diversity to increase the capacity h 11 h12 h 13 h 21 h 31 h 32 h 33 h 22 h 23 " H N M = h 11 h 12 h 13 h 21 h 22 h 23 h 31 h2 h 33 % ' ' ' ' &'
4 Channel Model (2x2) h 11 h 12 h 21 h22 y 1 x 2 y 2 y 1 = h 11 +h 21 x 2 +n 1 y 2 = h 12 +h 22 x 2 +n 2 y = Hx +n Can be extended to N x M systems
5 Antenna Space M-antenna node receives in M-dimensional space 2 x 2! " y 1 y 2! & = h! 11 % " h 12 & x + h 21 1 % " h 22 y = h 1 + h 2 x 2 + n! & x + n 1 2 % " n 2 & % h 2 = (h 21,h 22 ) y = (y 1, y 2 ) antenna 2 antenna 2 x 2 h 1 = (h 11,h 12 ) antenna 1 antenna 3 antenna 1
6 Multi-Input Multi-Output Systems (MIMO) Channel Model for MIMO MIMO Decoding MIMO Gains Multi-User MIMO Systems
7 Zero-Forcing Decoding (algebra) Orthogonal vectors + )! " y 1 y 2! & = h 11 % " h 12! & + h 21 % " h 22! & x 2 + n 1 % " n 2 & % * h 22 * - h 21 y 1 h 22 y 2 h 21 = (h 11 h 22 h 12 h 21 ) = y 1 h 22 y 2 h 21 h 11 h 22 h 12 h 21 Given, solve x 2 by successive interference cancella?on (SIC) To guarantee the full rank of H, antenna spacing at the transmiier and receiver must exceed half of the wavelength
8 Zero-Forcing Decoding (antenna space) antenna 2 h 2 = (h 21,h 22 ) x 2 y = (y 1, y 2 ) h 1 = (h 11,h 12 ) antenna 1 x 1 x 1 < To decode, decode vector y on the direc?on orthogonal to x 2 To improve the SNR, re- encode the first detected signal, subtract it from y, and decode the second signal
9 Channel Estimation Estimate N x M matrix H h 11 h 12 y 1 y 1 = h 11 +h 21 x 2 +n 1 h 21 h22 y 2 = h 12 +h 22 x 2 +n 2 x 2 y 2 Two equa?ons, but four unknowns Antenna 1 at Tx Access code 1 Stream 1 Antenna 2 at Tx Access code 2 Stream 2 Es?mate h 11, h 12 Es?mate h 21, h 22
10 Multi-Input Multi-Output Systems (MIMO) Channel Model for MIMO MIMO Decoding MIMO Gains Multi-User MIMO Systems
11 Multiplex Gain MIMO Gains Exploit antennas to deliver multiple streams concurrently Diversity Gain Exploit antenna diversity to increase the SNR of a single stream Receive diversity and transmit diversity
12 Degree of Freedom For N x M MIMO channel Degree of Freedom (DoF): min {N,M} Maximum diversity: NM
13 Multiplexing-Diversity Tradeoff Tradeoff between diversity gain and multiplex gain Say we have a N x N system Degree of freedom: N The transmitter can transmit k streams concurrently, where k <= N The optimal value of k is determined by the tradeoff between the diversity gain and multiplex gain
14 1 x 2 example Receive Diversity x h 1 h 2 y 1 y 1 = h 1 x +n 1 y 2 y 2 = h 2 x +n 2 Decode the SNR of (y 1 + y 2 ) Uncorrelated whit Gaussian noise with zero mean Packet can be delivered through at least one of the many diver paths
15 1 x 2 example Receive Diversity x h 1 h 2 y 1 SNR= P(2X) P(n 1 +n 2 ),(where(p(refers(to(the(power = E[(2X)2 ] E[n 1 2 +n 2 2 ] = 4E[X2 ], (where(σ (is(the(variance(of(awgn 2σ 2 = 2 *SNR single(antenna y 2 Increase SNR by 3dB Especially beneficial for the low SNR link
16 Receive Diversity Maximal Ratio Combining (MRC) Mul?ply each y with the conjugate of the channel! " y 1 = h 1 x + n 1 y 2 = h 2 x + n 2! " h 1 * y 1 = h 1 2 h 2 * y 2 = h 2 2 x + h 1 * n 1 x + h 2 * n 2 x = h 1 * y 1 + h 2 * y 2 h h 2 2 SNR MRC = E[(( h h 2 )X) 2 ] E[(h * 1 n 1 + h * 2 n 2 ) 2 ] = ( h h 2 ) 2 E(X 2 ) 2 2 ( h 1 + h 2 )σ 2 = ( h h 2 2 )E(X 2 ) σ 2 SNR sin gle = E[( h 1 X) 2 ] E[(h * 1 n 1 ) 2 ] 4 2 = h 1 E(X 2 ) 2 ( h 1 )σ 2 = h 1 2 E(X 2 ) σ 2 gain = ( h h 2 2 ) h 1 2
17 Transmit Diversity t t+1 0 h 1 y(t) y(t+1) 0 h 2 Deliver a symbol twice in two consecutive time slots Repetitive code! x = " space 0 0 & %&?me Diversity: 2 Data rate: 1/2 symbols/s/hz
18 Transmit Diversity t t+1 - x 2 * h 1 y(t) y(t+1) x 2 * h 2 Alamouti code (space-time block code) x = " * x 2 * x 2 space?me % ' ' & Diversity: 2 Data rate: 1 symbols/s/hz
19 Transmit Diversity Alamouti code (space-time block code) x = " * x 2 * x 2 space?me % ' ' & y(t) = h 1 + h 2 x 2 + n 1 y(t +1) = h 2 x 1 * h 1 x 2 * + n 2
20 Multiplexing-Diversity Tradeoff h 11 h 12 h 21 h22 y 1 x 2 y 2 Repe??ve scheme! x = " 0 0 & %& Diversity: 4 Data rate: 1/2 sym/s/hz Alamou? scheme " x = x 2 * x 2 * % ' ' & Diversity: 4 Data rate: 1 sym/s/hz But 2x2 MIMO has 2 degrees of freedom
21 Multi-Input Multi-Output Systems (MIMO) Channel Model for MIMO MIMO Decoding MIMO Gains Multi-User MIMO Systems
22 Interference Nulling Alice Bob αx βx!! h 1!! h 2 h 1 αx +h 2 βx = 0!! Nulling :!h α = h β 1 2 (h 1a α + h 2a β)x 0 (h 1b α + h 2b β)x 0 Signals cancel each other at Alice s receiver Signals don t cancel each other at Bob s receiver Because channels are different
23 Quiz Say there exist a 3x2 link, which has a channel " H 3 2 = h 11 h 12 h 21 h 22 h 31 h 32 % ' ' ' &' How can a 3-antenna transmitter transmit a signal x, but null its signal at two antennas of a two-antenna receiver?
24 Zero-Forcing Beamforming (w C1, w C2, w C3 ) x C P C (w B1, w B2, w B3 ) x B P B (w A1, w A2, w A3 ) x A P A AP Alice x A x B Bob x C Chris j k y k = ( P k h k w k )s k + ( P j h k w j ) s j + n k y = HWPx + n Null the interference: P j h k w j = 0 Let W = H = H * (HH * ) 1, then y = Px + n j k
25 MU-MIMO Bit-Rate Selection AP Alice h A h B Bob h C Chris Select a proper rate based on SNR ZF ant. 1 ant. 1 ant. 1 Alice Alice Bob Bob ant. 2 Chris ant. 2 Chris ant. 2
26 MU-MIMO User Selection Alice h A h B Bob AP h C Chris Pairing different clients as concurrent receivers results in different sum- rates ant. 1 ant. 1 ant. 1 Alice Alice Bob Bob ant. 2 Chris ant. 2 Chris ant. 2
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