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ADMOT: Compressive sensing techniques for channel monitoring in multiple access networks

Li, Xiaohang and Yao, Hongyi and Wang, Meng and Liew, Soung Chang (2013) ADMOT: Compressive sensing techniques for channel monitoring in multiple access networks. In: 2013 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE , Piscataway, NJ, pp. 4514-4518. ISBN 978-1-4799-0356-6. https://resolver.caltech.edu/CaltechAUTHORS:20170130-174618720

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Abstract

This paper studies the overhead for channel gain monitoring in wireless networks with time division multiple access. We first investigate the scenario in which a receiver needs to track the channel gains with respect to multiple transmitters. Suppose that there are n transmitters, and no more than k channels suffer significant variations since the last round. We prove that “Θ(k log(n/k)) time slots” is the minimum overhead needed to catch up with the k varied channels. We propose a novel channel-gain monitoring scheme named ADMOT. ADMOT leverages recent advances in compressive sensing in signal processing and interference processing in wireless communication, to enable the receiver to estimate all n channels in a reliable and computationally efficient manner within O(k log(n/k)) time slots. To our best knowledge, all previous channel-tracking schemes require Θ(n) time slots regardless of k.


Item Type:Book Section
Related URLs:
URLURL TypeDescription
https://doi.org/10.1109/ICASSP.2013.6638514DOIArticle
http://ieeexplore.ieee.org/document/6638514/PublisherArticle
Additional Information:© 2013 IEEE.
Subject Keywords:Wireless Network, Channel Gain Estimation, Compressive Sensing
DOI:10.1109/ICASSP.2013.6638514
Record Number:CaltechAUTHORS:20170130-174618720
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170130-174618720
Official Citation:X. Li, H. Yao, M. Wang and S. C. Liew, "ADMOt: Compressive sensing techniques for channel monitoring in multiple access networks," 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, Vancouver, BC, 2013, pp. 4514-4518. doi: 10.1109/ICASSP.2013.6638514
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:73839
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:31 Jan 2017 17:59
Last Modified:11 Nov 2021 05:22

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