On relay-interference networks with quantized feedback

We study quantized beamforming in wireless relay-interference networks with multiple transmitter-receiver pairs. For given transmitter rate requirements, we design structured distributed quantizers specifically to optimize the symbol error rate performance. We show that our quantizers achieve both maximal diversity and very high array gain using arbitrarily low feedback rates per receiver. Simulations are also provided, confirming our analytical results. We observe that our quantizers guarantee an equal diversity gain for each transmitter-receiver pair.

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

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

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

[4]  Mostafa Kaveh,et al.  Exact symbol error probability of a Cooperative network in a Rayleigh-fading environment , 2004, IEEE Transactions on Wireless Communications.

[5]  Nihar Jindal,et al.  MIMO broadcast channels with finite rate feedback , 2006, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

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

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

[8]  Hamid Jafarkhani,et al.  Distributed Beamforming in Wireless Multiuser Relay-Interference Networks With Quantized Feedback , 2010, IEEE Transactions on Information Theory.

[9]  Yindi Jing,et al.  Distributed beamforming in wireless relay networks with quantized feedback , 2008, IEEE Journal on Selected Areas in Communications.

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

[11]  Nihar Jindal.  Finite Rate Feedback MIMO Broadcast Channels , 2006 .

[12]  Yindi Jing,et al.  Single and multiple relay selection schemes and their achievable diversity orders , 2009, IEEE Transactions on Wireless Communications.

[13]  Hamid Jafarkhani,et al.  A Systematic Distributed Quantizer Design Method with an Application to MIMO Broadcast Channels , 2010, 2010 Data Compression Conference.

[14]  Raviraj S. Adve,et al.  Beamforming with Limited Feedback in Amplify-and-Forward Cooperative Networks , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

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

[16]  Yindi Jing,et al.  Network beamforming using relays with perfect channel information , 2009, IEEE Trans. Inf. Theory.

[17]  Yindi Jing,et al.  Interference Cancellation in Distributed Space-Time Coded Wireless Relay Networks , 2009, 2009 IEEE International Conference on Communications.