Network Beamforming with Channel Means and Covariances at Relays

This paper is on beamforming in networks whose relays know the channel means and covariances. The question we answer is: To optimize the network performance, how much power should each relay use? Instead of the widely used aggregate relay power constraint, we use the more practical assumption that each relay has a separate power constraint. We generalize the distributed space-time coding scheme so that each relay can adapt its transmit power according to the channel information. For two-relay networks, we analytically solve the relay power control problem at high transmit powers using the pairwise error probability (PEP) minimization. Simulation shows that appropriate relay power control can largely improve the reliability, especially when the qualities of relay paths are far apart.

[1]  Bhaskar D. Rao,et al.  Analysis of Multiple-Antenna Systems With Finite-Rate Feedback Using High-Resolution Quantization Theory , 2006, IEEE Transactions on Signal Processing.

[2]  Frédérique Oggier,et al.  A Coding Strategy for Wireless Networks with no Channel Information , 2006 .

[3]  B. Sundar Rajan,et al.  Partially-Coherent Distributed Space-Time Codes with Differential Encoder and Decoder , 2006, ISIT.

[4]  Philip Schniter,et al.  On the achievable diversity-multiplexing tradeoff in half-duplex cooperative channels , 2005, IEEE Transactions on Information Theory.

[5]  Roy D. Yates,et al.  Bandwidth and Power Allocation for Cooperative Strategies in Gaussian Relay Networks , 2004, IEEE Transactions on Information Theory.

[6]  B. Sundar Rajan,et al.  Partially-coherent distributed space-time codes with differential encoder and decoder , 2006, IEEE Journal on Selected Areas in Communications.

[7]  Shlomo Shamai,et al.  Transmitting to colocated users in wireless ad hoc and sensor networks , 2005, IEEE Transactions on Information Theory.

[8]  Yingbo Hua,et al.  Optimal Design of Non-Regenerative MIMO Wireless Relays , 2007, IEEE Transactions on Wireless Communications.

[9]  Yindi Jing,et al.  Distributed differential space-time coding for wireless relay networks , 2008, IEEE Transactions on Communications.

[10]  Elza Erkip,et al.  On beamforming with finite rate feedback in multiple-antenna systems , 2003, IEEE Trans. Inf. Theory.

[11]  Peter Larsson,et al.  Large-Scale Cooperative Relaying Network with Optimal Coherent Combining under Aggregate Relay Power Constraints , 2003 .

[12]  Il-Min Kim,et al.  Joint Optimization of Relay-Precoders and Decoders with Partial Channel Side Information in Cooperative Networks , 2006 .

[13]  Yindi Jing,et al.  Network Beamforming Using Relays With Perfect Channel Information , 2007, IEEE Transactions on Information Theory.

[14]  Mazen O. Hasna,et al.  Optimal power allocation for relayed transmissions over Rayleigh-fading channels , 2004, IEEE Transactions on Wireless Communications.

[15]  Bhaskar D. Rao,et al.  Multiple antenna channels with partial channel state information at the transmitter , 2004, IEEE Transactions on Wireless Communications.

[16]  Branka Vucetic,et al.  Distributed Adaptive Power Allocation for Wireless Relay Networks , 2007, IEEE Transactions on Wireless Communications.

[17]  Yindi Jing,et al.  Using Orthogonal and Quasi-Orthogonal Designs in Wireless Relay Networks , 2007, IEEE Transactions on Information Theory.

[18]  K. J. Ray Liu,et al.  Multinode Cooperative Communications in Wireless Networks , 2007, IEEE Transactions on Signal Processing.

[19]  Hamid Jafarkhani,et al.  Application of quasi-orthogonal space-time block codes in beamforming , 2005, IEEE Transactions on Signal Processing.

[20]  R.W. Heath,et al.  Performance Analysis of Quantized Beamforming MIMO Systems , 2006, IEEE Transactions on Signal Processing.

[21]  Yindi Jing,et al.  Distributed Space-Time Coding in Wireless Relay Networks , 2006, IEEE Transactions on Wireless Communications.

[22]  Erik G. Larsson,et al.  Collaborative transmit diversity with adaptive radio resource and power allocation , 2005, IEEE Communications Letters.

[23]  A. Robert Calderbank,et al.  Space-Time block codes from orthogonal designs , 1999, IEEE Trans. Inf. Theory.

[24]  Deniz Gündüz,et al.  Opportunistic cooperation by dynamic resource allocation , 2007, IEEE Transactions on Wireless Communications.

[25]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[26]  Elza Erkip,et al.  User cooperation diversity. Part I. System description , 2003, IEEE Trans. Commun..

[27]  Bhaskar D. Rao,et al.  Design and Analysis of MIMO Spatial Multiplexing Systems With Quantized Feedback , 2006, IEEE Transactions on Signal Processing.

[28]  Yan Cao,et al.  User-cooperative transmission with channel feedback in slow fading environment , 2004, IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall. 2004.

[29]  Ashutosh Sabharwal,et al.  Outage minimization with limited feedback for the fading relay channel , 2006, IEEE Transactions on Communications.

[30]  Gregory W. Wornell,et al.  Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks , 2003, IEEE Trans. Inf. Theory.

[31]  Aria Nosratinia,et al.  Coded cooperation in wireless communications: space-time transmission and iterative decoding , 2004, IEEE Transactions on Signal Processing.

[32]  Sanjeev R. Kulkarni,et al.  Degraded Gaussian multirelay channel: capacity and optimal power allocation , 2004, IEEE Transactions on Information Theory.

[33]  Helmut Bölcskei,et al.  Fading relay channels: performance limits and space-time signal design , 2004, IEEE Journal on Selected Areas in Communications.