A Cross-Layer Approach to Collaborative Beamforming for Wireless Ad Hoc Networks

Via collaborative beamforming, nodes in a wireless network are able to transmit a common message over long distances in an energy efficient fashion. However, the process of making available the same message to all collaborating nodes introduces delays. In this paper, a medium access control-physical (MAC-PHY) cross-layer scheme is proposed that enables collaborative beamforming at significantly reduced collaboration overhead. It consists of two phases. In the first phase, nodes transmit locally in a random access time-slotted fashion. Simultaneous transmissions from multiple source nodes are viewed as linear mixtures of all transmitted packets. In the second phase, a set of collaborating nodes, acting as a distributed antenna system, beamform the received analog waveform to one or more faraway destinations. This step requires multiplication of the received analog waveform by a complex weight, which is independently computed by each collaborating node, and which allows packets bound to the same destination to add coherently at the destination node. Assuming that each node has access to location information, the proposed scheme can achieve high throughput, which in certain cases exceeds one. Analyses of the average beampattern, networking performance, and symbol error probability corresponding to the proposed scheme are provided.

[1]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[2]  H. Vincent Poor,et al.  Collaborative beamforming for distributed wireless ad hoc sensor networks , 2005, IEEE Transactions on Signal Processing.

[3]  Dongwoo Kim,et al.  Cooperative System with Distributed Beamforming and Its Outage Probability , 2007, 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring.

[4]  Raghuraman Mudumbai,et al.  On the Feasibility of Distributed Beamforming in Wireless Networks , 2007, IEEE Transactions on Wireless Communications.

[5]  Mohamed-Slim Alouini,et al.  Digital Communication Over Fading Channels: A Unified Approach to Performance Analysis , 2000 .

[6]  Babak Hassibi,et al.  On the power efficiency of sensory and ad hoc wireless networks , 2003, IEEE Transactions on Information Theory.

[7]  Subrata Banerjee,et al.  Network-assisted diversity for random access wireless networks , 2000, IEEE Trans. Signal Process..

[8]  A.P. Petropulu,et al.  A new wireless network medium access protocol based on cooperation , 2005, IEEE Transactions on Signal Processing.

[9]  Nikos D. Sidiropoulos,et al.  Collision resolution in packet radio networks using rotational invariance techniques , 2002, IEEE Trans. Commun..

[10]  Mohamed-Slim Alouini,et al.  Coded Communication over Fading Channels , 2005 .

[11]  K. Ramchandran,et al.  Distributed Beamforming using 1 Bit Feedback : from Concept to Realization , 2006 .

[12]  K. Ban,et al.  Multihop sensor network design for wide-band communications , 2003, Proc. IEEE.