Low-Complexity Channel Estimation and Cooperative Channel Allocation in Millimeter-Wave Small Cell Networks

In millimeter-wave massive multiple input multiple output (MIMO) antenna systems, channel estimation is a crucial component. In this paper, we propose a virtual channel representation channel estimation method using out-of-band spatial information to reduce training overheads. The proposed channel e...

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Bibliographic Details
Published in:Mobile networks and applications 2021-04, Vol.26 (2), p.537-547
Main Authors: Arancibia, Carlos Saavedra, Song, Ju Bin
Format: Article
Language:English
Subjects:
Communications Engineering
Computer Communication Networks
Electrical Engineering
Engineering
Estimating techniques
Game theory
IT in Business
Millimeter waves
MIMO (control systems)
Networks
Performance degradation
Spatial data
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Description
Summary:In millimeter-wave massive multiple input multiple output (MIMO) antenna systems, channel estimation is a crucial component. In this paper, we propose a virtual channel representation channel estimation method using out-of-band spatial information to reduce training overheads. The proposed channel estimation method outperforms the exhaustive-search channel estimation method in terms of throughput performance. The proposed channel estimation also supports high throughput performance for high-speed user equipment environments unlike the existing channel estimation methods. Since the throughput performance degrades in multi-cell scenarios, we also propose a cooperative channel allocation method based on coalitional game framework. The proposed cooperative channel allocation method enhances throughput performance in mm-wave small cell networks.
ISSN:1383-469X
1572-8153
DOI:10.1007/s11036-018-1129-5