Optimal uplink pilot-data power allocation for large-scale antenna array aided OFDM systems
Optimal uplink pilot-data power allocation for large-scale antenna array aided OFDM systems
The effective aggregate rate (AR) performance of large-scale multiple-input multiple-output aided orthogonal frequency division multiplexing systems based on time division duplexing protocol critically depends on uplink (UL) pilot-data power allocations for all users. We derive an asymptotic closed-form expression of the system’s achievable AR for typical channel estimation schemes, which is a function of individual users’ UL power allocation factors. We prove that the effective AR is a convex function of each UL power allocation factor, when all the other factors are given. The globally optimal UL pilot-data power allocation that maximizes the system’s effective AR can easily be obtained using an iterative procedure, by solving an univariate convex optimization with the golden section method for individual UL power allocation factors one by one in each iteration. Owing to the piecewise convexity of the effective AR, this iterative algorithm guarantees to find the unique globally optimal solution with only one iteration. The simulation results confirm that the achievable effective AR is significantly enhanced through the proposed optimization of UL pilot-data power allocation.
Aggregation rate, channel estimation, massive multiple-input multiple-output, multi-cell systems, orthogonal frequency division multiplexing, uplink power allocation
428-442
Guo, Xinying
4c93cc91-7ace-4d5d-989c-ff2803355fd1
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Zhu, Chunhua
a17f1ca7-43ca-4c4f-a11f-98084bc4cb81
Yang, Jing
1dc0d18f-d404-42f9-bc18-212f0c0d4caf
15 January 2020
Guo, Xinying
4c93cc91-7ace-4d5d-989c-ff2803355fd1
Zhang, Jiankang
6add829f-d955-40ca-8214-27a039defc8a
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Zhu, Chunhua
a17f1ca7-43ca-4c4f-a11f-98084bc4cb81
Yang, Jing
1dc0d18f-d404-42f9-bc18-212f0c0d4caf
Guo, Xinying, Zhang, Jiankang, Chen, Sheng, Zhu, Chunhua and Yang, Jing
(2020)
Optimal uplink pilot-data power allocation for large-scale antenna array aided OFDM systems.
IEEE Transactions on Vehicular Technology, 69 (1), , [8884096].
(doi:10.1109/TVT.2019.2949874).
Abstract
The effective aggregate rate (AR) performance of large-scale multiple-input multiple-output aided orthogonal frequency division multiplexing systems based on time division duplexing protocol critically depends on uplink (UL) pilot-data power allocations for all users. We derive an asymptotic closed-form expression of the system’s achievable AR for typical channel estimation schemes, which is a function of individual users’ UL power allocation factors. We prove that the effective AR is a convex function of each UL power allocation factor, when all the other factors are given. The globally optimal UL pilot-data power allocation that maximizes the system’s effective AR can easily be obtained using an iterative procedure, by solving an univariate convex optimization with the golden section method for individual UL power allocation factors one by one in each iteration. Owing to the piecewise convexity of the effective AR, this iterative algorithm guarantees to find the unique globally optimal solution with only one iteration. The simulation results confirm that the achievable effective AR is significantly enhanced through the proposed optimization of UL pilot-data power allocation.
Text
OptPilD-2019-d(2)
- Accepted Manuscript
More information
Accepted/In Press date: 16 October 2019
Published date: 15 January 2020
Keywords:
Aggregation rate, channel estimation, massive multiple-input multiple-output, multi-cell systems, orthogonal frequency division multiplexing, uplink power allocation
Identifiers
Local EPrints ID: 435159
URI: http://eprints.soton.ac.uk/id/eprint/435159
ISSN: 0018-9545
PURE UUID: f6f322e0-07cc-4774-9c62-313d1a2c1e0d
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Date deposited: 24 Oct 2019 16:30
Last modified: 17 Mar 2024 03:19
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Author:
Xinying Guo
Author:
Jiankang Zhang
Author:
Sheng Chen
Author:
Chunhua Zhu
Author:
Jing Yang
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