OPTIMAL RELAY DESIGN OF ZERO FORCING EQUALIZATION FOR MIMO MULTI WIRELESS RELAYING NETWORKS
DOI:
https://doi.org/10.28961/kursor.v9i1.143Keywords:
multiple-input multiple-output (MIMO), multi-relay networks, zero-forcing (ZF), bit-error-rateAbstract
In this paper, we develop the optimal relay design for multiple-input multiple-output (MIMO) multi wireless relaying networks, when we consider the problem of zero-forcing processing is studied for multi-input multi- output multi-relay communication system in which MIMO source-destination pairs communicate simultaneously. It is assumed that due to severe shadowing effects which communication links can be established only with the aid of relay node. The aim is to design the relay amplification matrix to maximize the achievable communication sum- rate through the relay, which in general amplifying-and- forward relaying mechanisms are considered. The zero forcing (ZF) algorithm has studied for a MIMO multi relay network by comparing its performance in terms of bit- error-rate (BER) at destination algorithm. In particular, we investigate its performance with and without using the ZF at the relay. Our results demonstrate that the system performance can be significantly improved by using the ZF algorithm at relay (optimal relay ZF algorithm)
Downloads
References
[2]L. Gerdes, L. Weiland and W. Utschick, “A zero-forcing partial decode-and-forward scheme for the Gaussian MIMO relay channel,†Proc. 8th IEEE International Conference on Communications (ICC), June 2013.
[3]S. Simoens, O. Munoz, J. Vidal, and A. D. Coso, “Compressand-forward cooperative MIMO relaying with full channel state information†in Proc. IEEE Signal Theory and Commun., Nov. 2008.
[4]A. Toding, and Y. Rong, “Investigating successive interference cancellation in MIMO relay networks†in Proc. IEEE TENCON., Nov. 2011.
[5]W. Guan and H. Luo, “Joint MMSE transceiver design in nonregenerative MIMO relay systems,†IEEE Commun. Lett., vol. 12, pp. 517-519, Jul. 2008.
[6]T. Tang, C. B. Chae, and R. W. Heath. Jr., “On achievable sum rates of a multiuser MIMO relay channel,†in Proc. of IEEE ISIT’06, Seattle, WA, Jul. 2006.
[7]A. S. Behbahani, R. Merched, and A. M. Eltawil, “Optimizations of a MIMO relay networks,†in IEEE Trans. Signal Processing, 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 Processing, vol. 57, no. 12, pp. 4837-4851, Dec. 2009.
[9]Z. Fang, Y. Hua, and J. C. Koshy, “Joint source and relay optimization for a non-regenerative MIMO relay,†in Proc. IEEE Workshop Sensor Array Multi-Channel Signal Process., Waltham, WA, Jul. 2006, pp. 239-243.
[10]X. Tang and Y. Hua, “Optimal design of non-regenerative MIMO wireless relays, †IEEE Trans. Wireless Commun., vol. 6, pp. 1398-1407, Apr. 2007.
[11]B. Wang, J. Zhang, and A. Høst-Madsen, “On the capacity of MIMO relay channels,†IEEE Trans. Inf. Theory, vol. 51, pp. 29-43, Jan. 2005.
[12]Apriana Toding, “Performance Analysis of MIMO Multi-Relay Networks With Zero-Forcing Equalizer,†in Proc. International Conference on Industrial Technology for Sustainable Development (Icon-ITSD), Makassar, Indonesia, Oct. 25-26, 2017.
[13]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.
[14]A. Toding, M. R. A. Khandaker, and Y. Rong, “Joint source and relay optimization for parallel MIMO relays using MMSE-DFE receiver,†in Proc. 16th Asia-Pacific Conference on Communications, Auckland, New Zealand, Nov. 1-3, 2010.
+62-858-5000-1918
