GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Distributed beamforming for information transfer in sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Distributed beamforming for wireless sensor networks with random node location
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Distributed transmit beamforming: challenges and recent progress
IEEE Communications Magazine
Time-Slotted Round-Trip Carrier Synchronization for Distributed Beamforming
IEEE Transactions on Signal Processing
Collaborative beamforming for distributed wireless ad hoc sensor networks
IEEE Transactions on Signal Processing
On Bounds and Algorithms for Frequency Synchronization for Collaborative Communication Systems
IEEE Transactions on Signal Processing - Part I
On the Feasibility of Distributed Beamforming in Wireless Networks
IEEE Transactions on Wireless Communications
Distributed beamforming and power allocation for cooperative networks
IEEE Transactions on Wireless Communications - Part 2
Cooperative Fading Regions for Decode and Forward Relaying
IEEE Transactions on Information Theory
Rayleigh fading channels in mobile digital communication systems .I. Characterization
IEEE Communications Magazine
Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks
IEEE Journal on Selected Areas in Communications
Distributed beamforming in wireless relay networks with quantized feedback
IEEE Journal on Selected Areas in Communications
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Collaborative communication produces high power gain and significantly mitigates the fading if both frequency and phase synchronization are achieved. In this paper, a novel collaborative communication system with imperfect phase synchronization that includes the influence of noise and Rayleigh fading is proposed, modelled, theoretically analyzed and simulated. Mathematical expressions for both received power as a function of number of collaborative nodes and bit error rate (BER) as a function of SNR (E"b/N"0) are derived. To analyze the energy efficiency of our proposed collaborative communication system, energy consumption of the system is modelled, simulated and analyzed by considering the parameters of the off-the-shelf products. Exploration of performance shows that the proposed system mitigates the fading, hence, significant power gain and significant reduction in BER can be achieved in the presence of phase errors, AWGN and Rayleigh fading. A detailed theoretical analysis and Monte Carlo simulation revealed that proposed collaborative communication system is an energy efficient communication system that can be implemented in sensor networks as approximately N (number of collaborative nodes) times less total transmitted power is required than for the single-input single-output (SISO) communication for a specific transmission range.