MULTI-RADIO NETWORK OPTIMISATION USING BAYESIAN BELIEF PROPAGATION

被引：0

作者：

McGuire, Colin ^{[1
]}

Weiss, Stephan ^{[1
]}

机构：

[1] Univ Strathclyde, Dept Elect & Elect Engn, Ctr White Space Commun, Glasgow G1 1XW, Lanark, Scotland

来源：

2014 PROCEEDINGS OF THE 22ND EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2014年

关键词：

heterogeneous networks; network optimisation; Bayesian belief propagation; white space communications; rural broadband access;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper we show how 5 GHz and "TV White Space" wireless networks can be combined to provide fixed access for a rural community. Using multiple technologies allows the advantages of each to be combined to overcome individual limitations when assigning stations between networks. Specifically, we want to maximise throughput under the constraint of satisfying both the desired individual station data rate and the transmit power within regulatory limits. For this optimisation, we employ Pearl's algorithm, a Bayesian belief propagation implementation, which is informed by statistics drawn from network trials on Isle of Tiree with 100 households. The method confirms results obtained with an earlier deterministic approach.

引用

页码：421 / 425

页数：5

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