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2019 | OriginalPaper | Chapter

5. Massive Access with Channel Statistical Information

Author : Xiaoming Chen

Published in: Massive Access for Cellular Internet of Things Theory and Technique

Publisher: Springer Singapore

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Abstract

In this chapter, we study the problem of massive access in the 5G cellular IoT, where the channels are fast-varying. To address the challenging issue of channel state information (CSI) acquisition and beam design for a massive number of IoT devices over fast time-varying fading channels, we design a non-orthogonal beamspace multiple access framework. In particular, the user equipments (UEs) are non-orthogonal not only in the temporal-frequency domain, but also in the beam domain. We analyze the performance of the proposed non-orthogonal beamspace multiple access scheme, and derive an upper bound on the weighted sum rate in terms of channel conditions and system parameters. For further improving the performance, we propose three non-orthogonal beam construction methods with different beamspace resolutions. Finally, extensively simulation results show the performance gain of the proposed non-orthogonal beamspace multiple access scheme over the baseline ones.

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Appendix
Available only for authorised users
Footnotes
1
The proposed non-orthogonal beamspace multiple access technique can be easily extended to the multiple-cell scenario.
 
2
Note that the subspace is determined by the angular resolution of the large-scale antenna array. Thus, the maximum number of clusters is N t, but we also can use multiple subspaces to form a cluster. As a result, the number of clusters can be decreased.
 
3
The system may have N t clusters at most, but only M clusters are non-empty. Thus, we have 1 ≤ M ≤ N t.
 
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Metadata
Title
Massive Access with Channel Statistical Information
Author
Xiaoming Chen
Copyright Year
2019
Publisher
Springer Singapore
Book
Massive Access for Cellular Internet of Things Theory and Technique

Print ISBN: 978-981-13-6596-6

Electronic ISBN: 978-981-13-6597-3

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-981-13-6597-3_5