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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xin Wang Chenyang Yang |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Electronics and Information Engineering, Beihang University, Beijing, China, 100191 (Xin Wang; Chenyang Yang) |
| Abstract | Type-based multiple-access (TBMA) is a bandwidth efficient transmission scheme for decentralized estimation in wireless sensor networks (WSNs) over non-orthogonal multiple-access channels, whereas its performance degrades severely in zero-mean fading channels. In this paper, we improve its performance in the fading channels by using more resources for transmitting each type, which is named as TBMA with bandwidth extension (TBMA-BE). This transmission scheme needs no feedback of channel state information as existing solutions, thus it is feasible for large scale WSNs. We then develop an approximate maximum likelihood (ML) estimator, and derive the Cramér-Rao lower bound to reveal how the performance and the bandwidth efficiency are related. It is shown from the simulations that the TBMA-BE transmission scheme with the approximate ML estimator performs fairly well in non-orthogonal multiple-access channels with Rayleigh fading, and is even superior to the orthogonal multiple-access protocol at low communication signal to noise ratio (SNR). It also shows that the TBMA-BE is bandwidth efficient for the typical scenarios of WSNs where the communication SNR is low, since the total bandwidth consumption is proportional to the SNR. |
| Starting Page | 2914 |
| Ending Page | 2917 |
| File Size | 117011 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424442959 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.2010.5496158 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-03-14 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Bandwidth Wireless sensor networks Signal to noise ratio Maximum likelihood estimation Fading Degradation State feedback Channel state information Large-scale systems Rayleigh channels type-based multiple-access Decentralized estimation wireless sensor networks |
| Content Type | Text |
| Resource Type | Article |
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