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Cooperative Diversity with Multiple-Antenna Nodes in Fading Relay Channels. Advisor : Yinman Lee Speaker : Yen-Nan Chen (s96325525). Outline. Introduction Transmission Model Diversity Gain Analysis Simulation Results And Discussion Conclusion. Introduction.

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cooperative diversity with multiple antenna nodes in fading relay channels

Cooperative Diversity with Multiple-Antenna Nodes in Fading Relay Channels

Advisor : Yinman Lee

Speaker : Yen-Nan Chen

(s96325525)

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

outline
Outline
  • Introduction
  • Transmission Model
  • Diversity Gain Analysis
  • Simulation Results And Discussion
  • Conclusion

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

introduction
Introduction
  • We investigate the performance of a single-relay cooperative scenario where the source, relay and destination terminals are equipped with multiple transmit/receive antennas.

A. CSI-assisted AaF relaying

B. Blind AaF relaying

C. DaF relaying

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

transmission model
Transmission Model

Fig. 1. Schematic representation of relay-assisted transmission.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

transmission model1
Transmission Model
  • The received signals during the broadcasting phase at the receive antenna of the destination terminal are given by

is the STBC-encoded modulation symbol sent from the transmit antenna in time interval k.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

transmission model2
Transmission Model
  • The received signals at the receive antenna of the relay terminal are given by
  • In matrix notation, we can rewrite (2) as

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

transmission model3
Transmission Model

where is the S → R link channel matrix with size K × Q, denotes the codeword vector, and represents the noise vector.

  • During the relaying phase, the received signals processed at the relay terminal are forwarded to the destination terminal.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

transmission model4
Transmission Model

A. CSI-assisted AaF relaying

  • The received signals at the destination terminal are given by

denote the STBC-encoded modulation symbols transmitted from the antenna at time slot .

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

transmission model5
Transmission Model

B. Blind AaF relaying

  • The received signal at the destination terminal from the antenna is given by

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

transmission model6
Transmission Model

C. DaF relaying

  • The received signals at the destination terminal can be written as

denotes the STBC-encoded modulation symbol transmitted from the relay’s transmit antenna in time slot .

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis
Diversity Gain Analysis
  • Defining the transmitted codeword vector from the source and the erroneously-decoded codeword vector at the destination terminal, respectively, as and , the conditional PEP is given by

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis1
Diversity Gain Analysis

assuming ML decoding. Here, Q(.) is the Gaussian-Q function and denotes the Euclidean distance between and . Applying the standard Chernoff bound to (7), we obtain

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis2
Diversity Gain Analysis

A. PEP for CSI-assisted AaF relaying

The Euclidean distance for AaF relaying can be written as

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis3
Diversity Gain Analysis

denotes the eigenvalue of the codeword difference matrix, and

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis4
Diversity Gain Analysis
  • Scenario 1 (Balanced S → D and R → D links and high SNR in S → R link ):

we find PEP as

diversity order .

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis5
Diversity Gain Analysis
  • Scenario 2 (Balanced S → D and S → R links and high SNR in R → D link):

we find PEP as

diversity order .

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis6
Diversity Gain Analysis
  • Scenario 3 (Poor SNR in S → R link):

we find PEP as

diversity order .

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis7
Diversity Gain Analysis
  • Scenario 4 (Non-fading R → D link):

the diversity order is large and can not be determined byan integer value anymore, i.e., an AWGN-like performanceis observed.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis8
Diversity Gain Analysis

B. PEP for blind AaF relaying

the Euclidean distance for blind AaF relaying can be written as

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis9
Diversity Gain Analysis
  • Scenario 1 (Balanced S → D and R → D links and high SNR in S → R link ):

we obtain the PEP expressions as

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis10
Diversity Gain Analysis

diversity order .

  • Comparison to (10) further reveals that CSI-assisted AaF and blind AaF relaying yield the same diversity order, provided that .

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis11
Diversity Gain Analysis
  • Scenario 2 (Balanced S → D and S → R links and high SNR in R → D link):

we find PEP as

diversity order .

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis12
Diversity Gain Analysis
  • Scenario 3 (Poor SNR in S → R link):

we find PEP as

it can be easily concluded that the diversity order in (19) is limited to as observed for CSI-assisted case.

i.e., direct transmission.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis13
Diversity Gain Analysis
  • Scenario 4 (Non-fading R → D link):

we find PEP as

diversity order .

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis14
Diversity Gain Analysis

C. PEP for DaF relaying

we can upper bound

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis15
Diversity Gain Analysis
  • Scenario 1 (Balanced S → D and R → D links and high SNR in S → R link ):

we find PEP as

diversity order .

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis16
Diversity Gain Analysis
  • Scenario 2 (Balanced S → D and S → R links and high SNR in R → D link):

we find PEP as

diversity order .

i.e.,non-cooperative.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis17
Diversity Gain Analysis
  • Scenario 3 (Poor SNR in S → R link):

we find PEP as

diversity order .

i.e.,non-cooperative.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis18
Diversity Gain Analysis
  • Scenario 4 (Non-fading R → D link):

we find PEP as

diversity order is large and provides an AWGN-like performance similar to our observationfor CSI-assisted AaF relaying.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

diversity gain analysis19
Diversity Gain Analysis

TABLE I

DIVERSITY ORDERS OF BLIND AaF,

CSI-ASSISTED AaF, AND DaF RELAYING.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

simulation results and discussion
Simulation Results And Discussion

Fig. 2. SER performance of blind AaF relaying.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

simulation results and discussion1
Simulation Results And Discussion

Fig. 3. SER performance of blind AaF relaying assuming M = 2.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

simulation results and discussion2
Simulation Results And Discussion

Fig. 4. SER performance of CSI-assisted AaF relaying.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

simulation results and discussion3
Simulation Results And Discussion

Fig. 5. SER performance of CSI-assisted AaF relaying assuming M = 2.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

simulation results and discussion4
Simulation Results And Discussion

Fig. 6. SER performance of DaF relaying.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

simulation results and discussion5
Simulation Results And Discussion

Fig. 7. SER performance of DaF relaying assuming M = 2.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

conclusion
Conclusion
  • In this paper, we have investigated performance of three relaying schemes in a cooperative scenario in which the cooperating nodes are equipped with multiple antennas and operating over frequency-flat Rayleigh fading channels.
  • We have analyzed the diversity gains of blind AaF, CSI-assisted AaF, and DaF schemes

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

references
References
  • [1] S. Alamouti, “A simple transmit diversity technique for wireless communications,” IEEE J. Select. Areas Commun., vol. 16, no. 8, pp. 1451–1458, 1998.
  • [2] A. Sendonaris, E. Erkip, and B. Aazhang, “User cooperation diversity-Part I: System description,” IEEE Trans. Commun., vol. 51, pp. 1927-1938, Nov. 2003.
  • [3] A. Sendonaris, E. Erkip, and B. Aazhang, “User cooperation diversity-Part II: Implemen taion aspects and performance analysis,” IEEE Trans. Commun., vol. 51, pp. 1939-1948, Nov. 2003.
  • [4] M. K. Simon and M. S. Alouini, Digital Communication Over Fading Channels: A Unified Approach to Performance Analysis. NewYork: Wiley-Interscience, 2000.

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

thanks for your attention
Thanks for your attention

Communication Signal Processing Lab

Graduate Institute of Communication Engineering

NCNU

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