Channel feedback codebook design for millimeter-wave massive MIMO systems relying on lens antenna array
Channel feedback codebook design for millimeter-wave massive MIMO systems relying on lens antenna array
The recently proposed millimeter-wave (mmWave) massive MIMO system relying on a lens antenna array (LAA) significantly reduces the number of radio frequency (RF) chains using beam selection. A high data rate can be achieved based on the reduced-dimensional equivalent channel after beam selection. In frequency division duplexing (FDD) systems, the equivalent channel has to be signaled back to the base station (BS) via a feedback channel based on a codebook. However, no dedicated codebook has been proposed for LAA-aided mm-Wave systems. To fill this gap, in this paper, we propose a reduced-dimensional subspace codebook (RDSC) for LAA-aided mmWave massive MIMO systems. Specifically, under the recently proposed concept of angle coherence time, we first generate the large-dimensional vectors in the channel subspace, which is determined by the angles-of-departure (AoDs) of the dominant paths. Then, based on these vectors in the channel subspace, we create the RDSC by considering both the lens and the beam selector. Finally, the equivalent channel is quantized using the proposed RDSC and fed back to the BS. Finally, we carry out mathematical performance analysis of the proposed RDSC and show that its feedback overhead is rendered proportional to the relatively small number of dominant paths per user. The analytical results are verified by our simulations.
channel feedback, codebook., FDD, lens, MmWave massive MIMO
1-4
Shen, Wenqian
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Dai, Linglong
a3b9a8e1-777f-4196-a388-969444c7239d
Li, Yue
f52843d0-0f3f-440e-810c-8ae25ef32ffd
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Shen, Wenqian
72145df1-399e-4449-b38e-ebc19cb9f9d8
Dai, Linglong
a3b9a8e1-777f-4196-a388-969444c7239d
Li, Yue
f52843d0-0f3f-440e-810c-8ae25ef32ffd
Wang, Zhaocheng
70339538-3970-4094-bcfc-1b5111dfd8b4
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Shen, Wenqian, Dai, Linglong, Li, Yue, Wang, Zhaocheng and Hanzo, Lajos
(2018)
Channel feedback codebook design for millimeter-wave massive MIMO systems relying on lens antenna array.
IEEE Wireless Communications Letters, .
(doi:10.1109/LWC.2018.2818130).
Abstract
The recently proposed millimeter-wave (mmWave) massive MIMO system relying on a lens antenna array (LAA) significantly reduces the number of radio frequency (RF) chains using beam selection. A high data rate can be achieved based on the reduced-dimensional equivalent channel after beam selection. In frequency division duplexing (FDD) systems, the equivalent channel has to be signaled back to the base station (BS) via a feedback channel based on a codebook. However, no dedicated codebook has been proposed for LAA-aided mm-Wave systems. To fill this gap, in this paper, we propose a reduced-dimensional subspace codebook (RDSC) for LAA-aided mmWave massive MIMO systems. Specifically, under the recently proposed concept of angle coherence time, we first generate the large-dimensional vectors in the channel subspace, which is determined by the angles-of-departure (AoDs) of the dominant paths. Then, based on these vectors in the channel subspace, we create the RDSC by considering both the lens and the beam selector. Finally, the equivalent channel is quantized using the proposed RDSC and fed back to the BS. Finally, we carry out mathematical performance analysis of the proposed RDSC and show that its feedback overhead is rendered proportional to the relatively small number of dominant paths per user. The analytical results are verified by our simulations.
Text
Channel Feedback Codebook Design for Millimeter-Wave Massive MIMO Systems Relying on Lens Antenna Array
- Accepted Manuscript
More information
Accepted/In Press date: 21 March 2018
e-pub ahead of print date: 22 March 2018
Additional Information:
AM added 24/4/18
Keywords:
channel feedback, codebook., FDD, lens, MmWave massive MIMO
Identifiers
Local EPrints ID: 419957
URI: http://eprints.soton.ac.uk/id/eprint/419957
ISSN: 2162-2337
PURE UUID: 01e02305-6478-4585-b7ae-9b96503ee6df
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Date deposited: 24 Apr 2018 16:30
Last modified: 18 Mar 2024 02:35
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Contributors
Author:
Wenqian Shen
Author:
Linglong Dai
Author:
Yue Li
Author:
Zhaocheng Wang
Author:
Lajos Hanzo
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