Transmit Cooperation Versus Distributed Coordination in Interference Links

In this paper, we investigate whether using a simple form of power allocation and relaying at the transmitters has the same order of performance gain as transmit cooperation coupled with complex coding techniques. We consider two different interference channel scenarios: a cellular system with two neighboring cells and an ad-hoc network with two interfering communication links over a given area. For transmit cooperation, we propose simple and practical linear pre-coding schemes based on Zero-Forcing (ZF) algorithm. We also propose to exploit relaying with distributed power allocation schemes. We see that in the high interference regime, using transmit cooperation coupled with complex coding schemes outperforms pure power allocation and relaying schemes. On the other hand for the moderate to low interference regime, the performance of the simpler schemes become comparable to that of transmit cooperation.

[1]  Gerard J. Foschini,et al.  A simple distributed autonomous power control algorithm and its convergence , 1993 .

[2]  David Gesbert,et al.  Capacity Maximizing Power Allocation for Interfering Wireless Links: A Distributed Approach , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[3]  Andrea J. Goldsmith,et al.  Duality, achievable rates, and sum-rate capacity of Gaussian MIMO broadcast channels , 2003, IEEE Trans. Inf. Theory.

[4]  Shlomo Shamai,et al.  On the achievable throughput of a multiantenna Gaussian broadcast channel , 2003, IEEE Transactions on Information Theory.

[5]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[6]  Urbashi Mitra,et al.  Capacity of ad-hoc networks with node cooperation , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

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

[8]  A. Goldsmith,et al.  Sum power iterative water-filling for multi-antenna Gaussian broadcast channels , 2002, Conference Record of the Thirty-Sixth Asilomar Conference on Signals, Systems and Computers, 2002..

[9]  A. Gjendemsjo,et al.  Binary power control for multi-cell capacity maximization , 2007, 2007 IEEE 8th Workshop on Signal Processing Advances in Wireless Communications.

[10]  Roy D. Yates,et al.  A Framework for Uplink Power Control in Cellular Radio Systems , 1995, IEEE J. Sel. Areas Commun..

[11]  Jens Zander,et al.  Distributed cochannel interference control in cellular radio systems , 1992 .

[12]  F. Boccardi,et al.  Zero-Forcing Precoding for the MIMO Broadcast Channel under Per-Antenna Power Constraints , 2006, 2006 IEEE 7th Workshop on Signal Processing Advances in Wireless Communications.

[13]  Urbashi Mitra,et al.  Power and Bandwidth Allocation in Cooperative Dirty Paper Coding , 2008, 2008 IEEE International Conference on Communications.

[14]  Urbashi Mitra,et al.  Capacity Gain From Two-Transmitter and Two-Receiver Cooperation , 2007, IEEE Transactions on Information Theory.

[15]  N. Bambos,et al.  Toward power-sensitive network architectures in wireless communications: concepts, issues, and design aspects , 1998, IEEE Wirel. Commun..

[16]  Andrea J. Goldsmith,et al.  Transmitter cooperation in ad-hoc wireless networks: does dirty-paper coding beat relaying? , 2004, Information Theory Workshop.

[17]  M. Ebrahimi,et al.  Power Allocation and Asymptotic Achievable Sum-Rates in Single-Hop Wireless Networks , 2006, 2006 40th Annual Conference on Information Sciences and Systems.