DocumentCode
56887
Title
Outage probability analysis of multiple input multiple output ad-hoc networks with random topology
Author
Ananthi, Govindasamy ; Thiruvengadam, Sundarrajan J.
Author_Institution
Dept. of Electron. & Commun. Eng., Thiagarajar Coll. of Eng., Madurai, India
Volume
9
Issue
3
fYear
2015
fDate
5 2015
Firstpage
288
Lastpage
296
Abstract
Outage probability performance of multiple-input multiple-output (MIMO) ad-hoc network with quantised beamforming and finite rate feedback is analysed with the assumption that the nodes are uniformly distributed with random topology. In quantised beamforming, each receiver sends the label of the best beamforming vector obtained from the codebook to the transmitter through a finite rate limited feedback. The code book is shared between the desired users to prevent decoding of other user´s information in a MIMO ad-hoc network. In such a practical environment, feedback links can only convey finite number of bits, from which transmit beamformer designs are investigated using either the outage probability or average signal to interference ratio as the figure of merit. In this study, a mathematical analysis for the estimation of the interference power statistics and the corresponding outage probability in MIMO wireless ad-hoc networks with random position of interference nodes is carried out. In lieu of validating the obtained simulation results, theoretical results have also been compared.
Keywords
MIMO communication; ad hoc networks; array signal processing; probability; radiofrequency interference; telecommunication network topology; MIMO wireless ad hoc networks; average signal-to-interference ratio; beamformer design; beamforming vector; code book; feedback links; finite rate feedback; finite rate-limited feedback; interference node; interference power statistics; mathematical analysis; multiple-input multiple-output ad-hoc networks; outage probability analysis; outage probability performance; quantised beamforming; random topology; user information decoding;
fLanguage
English
Journal_Title
Signal Processing, IET
Publisher
iet
ISSN
1751-9675
Type
jour
DOI
10.1049/iet-spr.2014.0001
Filename
7103407
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