Paper Info
Title
Statistical Analysis of Array Gain for Cooperative MISO Transmitters without CSI
Abstract
Virtual Multiple-Input Single-Output (MISO) is recently proposed to extend the benefits of transmitter space diversity to networks in which the deployment of antenna arrays on individual nodes is infeasible from a practical point of view. Ad-hoc and sensor networks are examples of these type of networks. In these scenarios, nodes equipped with single antenna can cooperatively transmit to emulate an antenna array. However, cooperative transmissions require knowledge of the channel state either at the transmitter side or the receiver side in order to achieve full performance gains. Several solutions are proposed in the literature under these assumptions, but at the expense of increased overhead and energy consumption. In this paper, the array gain at the receiver from the non-coherent combining of the signals from multiple transmitters is analyzed in statistical sense, under the assumption that the channel knowledge is unavailable. The transmitters are assumed to be randomly spread over a circular region. More specifically, exact or very accurate closed-form expressions for the expectation and variance of the array gain are obtained, and then a complete statistical distribution is postulated and validated by means of heuristic procedures, goodness-of-fit tests and specialized software. The results obtained in this paper can be especially useful for the implementation of two-tiered wide area sensor networks.
Year
DOI
Venue
2014
10.1109/TWC.2014.011714.121745
Wireless Communications, IEEE Transactions  
Keywords
DocType
Volume
antenna arrays,cooperative communication,radio transmitters,statistical analysis,statistical distributions,wireless sensor networks,ad-hoc networks,antenna array gain,channel state,circular region,closed-form expressions,cooperative MISO transmitters,cooperative transmissions,energy consumption,goodness-of-fit tests,heuristic procedures,receiver side,sensor networks,statistical analysis,statistical distribution,transmitter space diversity,two-tiered wide area sensor networks,virtual multiple-input single-output transmitter,Multiple Input Single Output (MISO),expectation,path-loss and shadowing model,received power,signal-to-noise ratio (SNR),squared coefficient of variation,statistical distribution,variance,wireless sensor networks
Journal
13
Issue
ISSN
Citations 
3
1536-1276
1
PageRank 
References 
Authors
0.35
8
2
Name
Order
Citations
PageRank
Sebastià Galmés1216.70
Özgür B. Akan22519207.62