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Joint Source and Relay Optimization for Parallel MIMO Relays Using MMSE-DFE Receiver

Joint Source and Relay Optimization for Parallel MIMO Relays Using MMSE-DFE Receiver. Apriana Toding , Muhammad R. A. Khandaker and Yue Rong. Department of Electrical & Computer Engineering. Outline. MIMO Relay Communication System Model Proposed Approach Numerical Results Conclusions.

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Joint Source and Relay Optimization for Parallel MIMO Relays Using MMSE-DFE Receiver

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  1. Joint Source and Relay Optimization for Parallel MIMO Relays Using MMSE-DFE Receiver AprianaToding, Muhammad R. A. Khandaker and YueRong Department of Electrical & Computer Engineering

  2. Outline • MIMO Relay Communication • System Model • Proposed Approach • Numerical Results • Conclusions

  3. Introduction MIMO Relay Wireless Communication Figure 1. MIMO relay channel

  4. Introduction • The MIMO relay network system can increase: • Efficiency • Reliability • Capacity • Coverage • Diversity • Main issue in MIMO relay wireless communication system is how to build the communication link when there are some obstacles between the transmitter and the receiver. • How to solve the issue: Provide more relay nodes between the transmitter and the receiver.

  5. System Model Figure 2. Parallel MIMO relay channel

  6. System Model Figure 3. Blok diagram of parallel MIMO relay channel stream 1 W1 Decode stream 1 stream 2 Subtract stream 1 Decode stream 2 W2 stream 3 yNd Decode stream 3 Subtract stream 1,2 W3 . . . . . . . . . stream Nd Subtract stream 1,2,… Nd-1 W Nd Decode stream Nd Figure 4. Blok diagram of the non-linear receiver

  7. Proposed Approach • The received signal vector at the destination is • By introducing

  8. Proposed Approach • By introducing the following QR decomposition • The MSE matrix is

  9. The power constraints are • The optimal problem can be written as s.t. • The solution to the problem are given by

  10. Simulation Environment • General parameter for all cases: • Constellation : BPSK • Transmit 1000 randomly generated bits in each channel realizations • Averaged through 200 channel realizations • Study cases • Case I:3 Relay nodes • Case II: 2,3 and 5 Relay nodes • Compare with existing algorithm of • NAF • MMSE Algorithm [9]

  11. Results • Case I:BER versus SNRs with K=3

  12. Results • Case II: BER versus SNRs with varying K

  13. Summary We have- - demonstrated the advantages of using parallel relay diversity in MIMO relay communication system. - used a nonlinear MMSE-DFE receiver is used at the destination node. - have derived the optimal structure of the source precoding matrix and the relay amplifying matrices.

  14. Reference [1] David Tse, PramodViswanath, Fundamentals of Wireless Communication, Cambridge University Press, New York, 2005. [2] E. Telatar, “Capacity of multi-antenna Gaussian channels,” in AT&T Bell Labs Memo., Murray Hill, NJ, 1995. [3] R. Pabst, B. H. Walke, D. C. Schultz, D. C. Herhold, H. Yanikomeroglu, S. Mukherjee, H. Viswanathan, M. Lott, W. Zirwas, M. Dohler, H. Aghvami, D. D. Falconer, and G. P. Fettweis, “Relay-based deployment concepts for wireless and mobile broadband radio,” IEEE Commun. Mag., vol.42, pp. 80-89, Sep. 2004. [4] G. J. Foschini and M. J. Gans, “On limits of wireless communications in a fading environment when using multiple antennas,” Wireless Personal Commun., vol. 6, pp. 311-335, March 1998. [5] J. N. Laneman, D. N. C. Tse, and G. W. Wornell, “Cooperative diversity in wireless networks: Efficient protocols and outage behavior,” Trans. Inf. Theory, vol. 50, pp. 3062-3080, Dec. 2004. [6] B.Wang, J. Zhang, and A. Host-Madsen, “On the capacity of MIMO relay channels,” IEEE Trans. Inf. Theory, vol. 51, no. 1, pp. 29-43, Jan. 2005. [7] A. S. Behbahani, R. Merched, and A. M. Eltawil, “Optimizations of a MIMO relay network,” IEEE Trans. Signal Process., vol. 56, pp. 5062-5073, Oct. 2008 [8] Y. Rong, X. Tang, and Y. Hua, “A unified framework for optimizing linear non-regenerative multicarrier MIMO relay communication systems,” IEEE Trans. Signal Process., vol. 57, pp. 4837-4851, Dec. 2009. [9] A. Toding, M. R. A. Khandaker, and Y. Rong, “Optimal joint source and relay beamforming for parallel MIMO relay networks,” in Proc. 6th Int. Conf. Wireless Commun., Networking and Mobile Computing, Chengdu, China, Sep. 23-25, 2010.

  15. Thanks

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