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

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Abstract

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.

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Authors and Affiliations

  1. Department of Electronic Engineering, Kyung Hee University, 1732 Deogyeong Rd., Giheung, Yongin, 17104, South Korea

    Carlos Saavedra Arancibia & Ju Bin Song

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  1. Carlos Saavedra Arancibia
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  2. Ju Bin Song
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Correspondence to Carlos Saavedra Arancibia.

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Arancibia, C.S., Song, J.B. Low-Complexity Channel Estimation and Cooperative Channel Allocation in Millimeter-Wave Small Cell Networks. Mobile Netw Appl 26, 537–547 (2021). https://doi.org/10.1007/s11036-018-1129-5

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  • DOI: https://doi.org/10.1007/s11036-018-1129-5

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