Wireless Communications over MIMO Channels phần 5 doc

... log 2 p ˜ D 1 |D 1 =µ (ξ)  1 ν=0 p ˜ D 1 |D 1 =ν (ξ) dξ (3.114) 134 FORWARD ERROR CORRECTION CODING 0 0 .5 1 1 .5 2 0 0.2 0.4 0.6 0.8 1 0 0 .5 1 1 .5 2 0 0.2 0.4 0.6 0.8 1 L c = 3L c = 3 L c = 5L c = 5 L c = 7L c = 7 uncodeduncoded C/R c →C/R c → IPC ... 2 3 4 5 6 10 −4 10 −3 10 −2 10 −1 10 0 10 5 10 5 E b /N 0 in dB → BER → Max-Log-MAP, it. 1 Log-MAP, it. 1 Max-Log-MAP, it. 2 Lo...

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... limited to the physical transmission Wireless Communications over MIMO Channels Vo l k e r K ¨ uhn  2006 John Wiley & Sons, Ltd Wireless Communications over MIMO Channels xxiv LIST OF SYMBOLS s[k, ... Receivers . . . . . . . . . . . 222 4 .5 Summary 2 25 5 Multiuser Detection in CDMA Systems 227 5. 1 OptimumDetection 227 5. 1.1 OptimumJointSequenceDetection 228...

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... for all µ = ν. Hence, the correlation matrix INTRODUCTION TO DIGITAL COMMUNICATIONS 15 −1 .5 −1 −0 .5 0 0 .5 1 1 .5 0 0 .5 1 1 .5 2 f d /f dmax → p f d (f d /f dmax ) → Figure 1.13 Distribution of ... ∈  ν=µ D µ,ν    ≤  ν=µ Pr  y ∈ D µ,ν  . (1. 45) INTRODUCTION TO DIGITAL COMMUNICATIONS 29 e 3e-e -3e e 3e -e -3e e 3e-e -3e e 5e 3e -5e -3e e 5e 3e -e ReRe Re ImIm Im 4-ASK...

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... MULTIPLE ANTENNA SYSTEMS 3 25 0 10 20 30 0 5 10 15 20 25 30 35 0 10 20 30 0 5 10 15 20 25 30 35 E s /N 0 in dB →E s /N 0 in dB → C → C → N R = 1N R = 1 N R = ... over MIMO Channels Vo l k e r K ¨ uhn  2006 John Wiley & Sons, Ltd CDMA, 4, 19, 173 Chain rule for entropy, 54 , 333 for information, 55 , 333 of information, 132 Channel capacity, 55 , 58 , ... λ i ≥...

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... 2D = 2 D = 5D = 5 D = 10D = 10 D = 50 D = 50 a) P out = 0.01 b) P out = 0.1 Figure 2.13 Outage probability of flat Rayleigh fading channels for Gaussian input 2.3 Channel Capacity of MIMO Systems As ... (2.64) 72 INFORMATION THEORY 0 5 10 0 0.2 0.4 0.6 0.8 1 0 5 10 0 0.2 0.4 0.6 0.8 1 P out → P out → C out →C out → D = 1D = 1 D = 2D = 2 D = 5D = 5 D = 10D = 10 D = 50 D = 50 a...

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... Section 3.6. Section 3 .5 discusses the performance of codes by different means. The distance properties of codes are examined and used for Wireless Communications over MIMO Channels Vo l k e r K ¨ uhn  ... the number of correctable error patterns. For r = 2, 3, 4, 5, 6, 7, , the binary (n, k) Ham- ming codes (3,1), (7,4), ( 15, 11), (31,26), (63 ,57 ), and (127,120) exist. As an...

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... theorem. In this case, the SNR defined CODE DIVISION MULTIPLE ACCESS 187 0 5 10 15 20 5 0 5 10 15 20 0 5 10 15 20 5 0 5 10 15 20 N u ,β E b /N 0 2E b /N 0 in dB → N u = β ·N s → SINR in dB → SINR ... CODING 171 0 0 .5 1 1 .5 2 2 .5 3 10 −2 10 −1 10 0 #20 E b /N 0 in dB → FER → #10 # 15 Figure 3 .56 Frame error rate performance of irregular LDPC code of length n = 20000 wi...

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... DIVISION MULTIPLE ACCESS 0 0 .5 1 1 .5 2 0 0 .5 1 1 .5 2 2 .5 3 0 0 .5 1 1 .5 2 0 0 .5 1 1 .5 2 2 .5 3 a) E b /N 0 = 5dB b) E b /N 0 = 10 dB β →β → η → η → orth. MF ZF MMSE opt. Figure 4. 45 Ergodic spectral efficiency ... 12 16 20 10 5 10 −4 10 −3 10 −2 10 −1 10 0 0 0 .5 1 1 .5 2 10 5 10 −4 10 −3 10 −2 10 −1 10 0 E b /N 0 in dB → BER → BER → β = 1/16 β = 0 .5 β = 1 β = 1 .5...

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... 271 0 5 10 15 20 10 5 10 −4 10 −3 10 −2 10 −1 10 0 0 5 10 15 20 10 5 10 −4 10 −3 10 −2 10 −1 10 0 E b /N 0 in dB →E b /N 0 in dB → BER → BER → SQLDSQLD QLD-PSAQLD-PSA a) ZF b) MMSE Figure 5. 35 ... 2 10 −3 10 −2 10 −1 10 0 BER → BER → a) first iteration b) fifth iteration α →α → β = 0 .5 = 0 .5 β = 0. 75 = 0. 75 β = 1β = 1 β = 1. 25 = 1. 25 SUBSUB Figure 5. 15 PIC optimization...

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... 2 T(8, 8, 2) T(8, 16, 2) T(8, 32, 2)  00 052 4 124000  00 052 41 12412 45  00 052 432 12412472  0 5 10 15 20 25 30 10 −3 10 −2 10 −1 10 0 0 5 10 15 20 25 30 10 −3 10 −2 10 −1 10 0 E b /N 0 in dB ... Figure 6.6a depicts the error rates of Alamouti’s scheme with 0 5 10 15 20 25 30 10 5 10 −4 10 −3 10 −2 10 −1 10 0 0 5 10 15 20 25 30 10 5 10 −4 10 −3 10 −2 10 −1 10 0 E...

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