Discrete-time signal processing (2nd ed.)
Discrete-time signal processing (2nd ed.)
Distributed beamforming for information transfer in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Weighted cross-layer cooperative beamforming for wireless networks
IEEE Transactions on Signal Processing
Opportunistic collaborative beamforming with one-bit feedback
IEEE Transactions on Wireless Communications
Network beamforming using relays with perfect channel information
IEEE Transactions on Information Theory
Distributed transmit beamforming: challenges and recent progress
IEEE Communications Magazine
Collaborative null-steering beamforming for uniformly distributed wireless sensor networks
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
IEEE Transactions on Wireless Communications
Low complexity receivers for coherent amplify-and-forward cooperative systems
IEEE Transactions on Communications
Time-Slotted Round-Trip Carrier Synchronization for Distributed Beamforming
IEEE Transactions on Signal Processing
Low-complexity estimators for distributed sources
IEEE Transactions on Signal Processing
Collaborative beamforming for distributed wireless ad hoc sensor networks
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
The effects of local scattering on direction of arrival estimationwith MUSIC
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
On the Feasibility of Distributed Beamforming in Wireless Networks
IEEE Transactions on Wireless Communications
Opportunistic Beamforming with Limited Feedback
IEEE Transactions on Wireless Communications
Improving amplify-and-forward relay networks: optimal power allocation versus selection
IEEE Transactions on Wireless Communications
IEEE Journal on Selected Areas in Communications
A Distributed Amplify-and-Forward Beamforming Technique in Wireless Sensor Networks
IEEE Transactions on Signal Processing
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Three main collaborative beamforming (CB) solutions based on different channel models exist: the optimal CSI-based CB (OCB), the conventional or monochromatic (i.e., single-ray) distributed CB (M-DCB), and the recently developed bichromatic (i.e., two-ray) distributed CB (B-DCB). In this paper, we perform an analytical comparison, under practical constraints, between these CB solutions in terms of achieved signal-to-noise ratio (SNR) as well as achieved throughput. Assuming the presence of local scattering in the source vicinity and accounting for implementation errors incurred by each CB solution, we derive for the first time closed-form expressions of their true achieved SNRs. For low angular spread (AS), where both solutions nominally achieve the same SNR in ideal conditions, we show that the B-DCB always outperforms OCB, more so and at larger regions of AS values when errors increase. Excluding exceptional circumstances of unrealistic low quantization levels (i.e., very large quantization errors) that are hard to justify in practice, we also show that the new B-DCB always outperforms the M-DCB as recently found nominally in ideal conditions. This work is also the first to push the performance analysis of CB to the throughput level by taking into account the feedback overhead cost incurred by each solution. We prove both by concordant analysis and simulations that the B-DCB is able to outperform, even for high AS values, the OCB which is penalized by its prohibitive implementation overhead, especially for a large number of collaborating terminals and/or high Doppler frequencies. Indeed, it is shown that the operational regions in terms of AS values over which the new B-DCB is favored against OCB in terms of achieved throughput can reach up to 40°. Copyright © 2012 John Wiley & Sons, Ltd.