Joint optimization in MIMO multiple relay channels

Abstract

The joint optimization of cooperative relays in a multiple-input multiple-output (MIMO) multiple relay aided communication system is discussed in this article. A simple linear optimization solution is designed and a multi-user scheduling algorithm is proposed. The new algorithm chooses users with larger cooperation diversity gains from the waiting list to serve; it can reduce inter-user interference and maintain space diversity caused by parallel transmission of multiple relays, and achieve higher system throughput.

Key words： multi-relay cooperation; joint optimization; multi-user scheduling; space diversity

Acknowledgements

This work was supported by the National Basic Research Program of China (No. 2007CB310603), the National Natural Science Foundation of China (Grant Nos. 60672093, 60496310), and the National Hi-Tech Research and Development Program of China (No. 2007AA01Z262).

References

1 van der Meulen E C. Three terminal communication channels. Advanced Applied Probability, 1971, 3(5): 120-154

2 Cover T M, Gamal A E. Capacity theorems for the relay channel. IEEE Transactions on Information Theory, 1979, 25(5): 572-584

3 Liang Y, Veeravalli V V. Cooperative relay broadcast channels. IEEE Transactions on Information Theory, 2007, 53(3): 900-928

4 Laneman J N, Tse D N C, Wornell G W. Cooperative diversity in wireless networks: efficient protocols and outage behavior. IEEE Transactions on Information Theory, 2004, 50(12): 3062-3080

5 Khojastepour M A, Sabharwal A, Aazhang B. Improved achievable rates for user cooperation and relay channels. In: Proceedings of IEEE International Symposium on Information Theory, 2004, 4

6 Kramer G, Gastpar M, Gupta P. Cooperative strategies and capacity theorem for relay networks. IEEE Transactions on Information Theory, 2005, 51(9): 3037-3063

7 Hunter T E, Nosratinia A. Performance analysis of coded cooperation diversity. In: Proceedings of IEEE International Conference on Communications (ICC’03), Anchorage, Alaska. 2003, 4: 2688-2692

8 Sendonaris A, Erkip E, Aazhang B. User cooperation diversity – part I and part II. IEEE Transactions on Communications, 2003, 51(11): 1927-1948

9 Host-Madsen A, Zhang J. Capacity bounds and power allocation for wireless relay channels. IEEE Transactions on Information Theory, 2005, 51(6): 2020-2040

10 Wang B, Zhang J, Host-Madsen A. On the capacity of MIMO relay channels. IEEE Transactions on Information Theory, 2005, 51(1): 29-43

11 Tang X, Hua Y. Optimal design of non-regenerative MIMO wireless relays. IEEE Transactions on wireless Communications, 2007, 6(4): 1398-1407

12 Hammerstrom I, Kuhn M, Wittneben A. Impact of relay gain allocation on the performance of cooperative diversity networks. In: Proceedings of IEEE 60th Vehicular Technology Coference (VTC’04), 2004, 3: 1815-1819

13 Wittneden A, Rankov B. Distributed antenna systems and linear relaying for gigabit MIMO wireless. In: Proceedings of IEEE 60th Vehicular Technology Coference (VTC’04), 2004, 5: 3624-3630

14 Hasna M O, Alouini M S. Optimal power allocation for relayed transmissions over Rayleigh-fading channels. IEEE Transactions on Wireless Communications, 2004, 3(6): 1999-2004

15 Yi Z, Kim I M. Joint optimization of relay-precoders and decoders with partial channel side information in cooperative networks. IEEE Journal on Selected Areas in Communications, 2007, 25(2): 447-458