Capacity calculation for collaborative communication with imperfect phase synchronization, AWGN and fading in sensor networks

Authors:
Husnain Naqvi;Stevan Berber;Zoran Salcic
Affiliations:
Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand;Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand;Department of Electrical and Computer Engineering, The University of Auckland, Auckland, New Zealand
Venue:
CIT'11 Proceedings of the 5th WSEAS international conference on Communications and information technology
Year:
2011

Citing 9
Cited 0

Distributed beamforming for information transfer in sensor networks

Proceedings of the 3rd international symposium on Information processing in sensor networks
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
Performance analysis of adaptive decode-and-forward cooperative diversity networks with best-relay selection

IEEE Transactions on Communications
On the Feasibility of Distributed Beamforming in Wireless Networks

IEEE Transactions on Wireless Communications
The capacity of wireless networks

IEEE Transactions on Information Theory
Cooperative Strategies and Capacity Theorems for Relay Networks

IEEE Transactions on Information Theory
Capacity bounds for Cooperative diversity

IEEE Transactions on Information Theory
Cooperative Fading Regions for Decode and Forward Relaying

IEEE Transactions on Information Theory

Quantified Score

Hi-index	0.00

Visualization

Abstract

Collaborative communication produces high power gain and significantly mitigates the fading if both frequency and phase synchronization are achieved. In this paper, a procedure of the capacity calculation for collaborative communication system with imperfect phase synchronization that includes the influence of noise and Rayleigh fading is proposed, modeled, theoretically analyzed and simulated. The exact formula for channel capacity as a function of channel parameters and the number of collaborative nodes is derived. It was confirmed that using collaborative communication, the capacity of the network can be increased and energy consumption can be reduced.