Uplink sum-rate and power scaling laws for multi-user massive MIMO-FBMC systems
Uplink sum-rate and power scaling laws for multi-user massive MIMO-FBMC systems
This paper analyses the performance of filter bank multicarrier (FBMC) signaling in conjunction with offset quadrature amplitude modulation (OQAM) in multi-user (MU) massive multiple-input multiple-output (MIMO) systems. Initially, closed form expressions are derived for tight lower bounds corresponding to the achievable uplink sum-rates for FBMC-based single-cell MU massive MIMO systems relying on maximum ratio combining (MRC), zero forcing (ZF) and minimum mean square error (MMSE) receiver processing with/without perfect channel state information (CSI) at the base station (BS). This is achieved by exploiting the statistical properties of the intrinsic interference that is characteristic of FBMC systems. Analytical results are also developed for power scaling in the uplink of MU massive MIMO-FBMC systems. The above analysis of the achievable sum-rates and corresponding power scaling laws is subsequently extended to multi-cell scenarios considering both perfect as well as imperfect CSI, and the effect of pilot contamination. The delay-spread-induced performance erosion imposed on the linear processing aided BS receiver is numerically quantified by simulations. Numerical results are presented to demonstrate the close match between our analysis and simulations, and to illustrate and compare the performance of FBMC and traditional orthogonal frequency division multiplexing (OFDM)-based MU massive MIMO systems.
FBMC, MMSE, MRC, OFDM, SINR, ZF, massive MIMO, multi-cell, power scaling, single-cell, sum-rate
161-176
Singh, Prem
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Mishra, Himanshu
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Jagannatham, Aditya
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Vasudevan, K.
fb59b659-6b0a-4eb1-aa3d-7563ae23f660
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
January 2020
Singh, Prem
b3155131-3d31-4d82-876c-33655420c7e5
Mishra, Himanshu
a43d43f1-7a49-46d7-804e-a4051ce9046c
Jagannatham, Aditya
b5974907-7880-4637-8f3a-c1388ffbacc4
Vasudevan, K.
fb59b659-6b0a-4eb1-aa3d-7563ae23f660
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Singh, Prem, Mishra, Himanshu, Jagannatham, Aditya, Vasudevan, K. and Hanzo, Lajos
(2020)
Uplink sum-rate and power scaling laws for multi-user massive MIMO-FBMC systems.
IEEE Transactions on Communications, 68 (1), , [8886401].
(doi:10.1109/TCOMM.2019.2950216).
Abstract
This paper analyses the performance of filter bank multicarrier (FBMC) signaling in conjunction with offset quadrature amplitude modulation (OQAM) in multi-user (MU) massive multiple-input multiple-output (MIMO) systems. Initially, closed form expressions are derived for tight lower bounds corresponding to the achievable uplink sum-rates for FBMC-based single-cell MU massive MIMO systems relying on maximum ratio combining (MRC), zero forcing (ZF) and minimum mean square error (MMSE) receiver processing with/without perfect channel state information (CSI) at the base station (BS). This is achieved by exploiting the statistical properties of the intrinsic interference that is characteristic of FBMC systems. Analytical results are also developed for power scaling in the uplink of MU massive MIMO-FBMC systems. The above analysis of the achievable sum-rates and corresponding power scaling laws is subsequently extended to multi-cell scenarios considering both perfect as well as imperfect CSI, and the effect of pilot contamination. The delay-spread-induced performance erosion imposed on the linear processing aided BS receiver is numerically quantified by simulations. Numerical results are presented to demonstrate the close match between our analysis and simulations, and to illustrate and compare the performance of FBMC and traditional orthogonal frequency division multiplexing (OFDM)-based MU massive MIMO systems.
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Accepted/In Press date: 19 October 2019
e-pub ahead of print date: 29 October 2019
Published date: January 2020
Additional Information:
Funding Information:
Manuscript received January 30, 2019; revised June 10, 2019 and September 16, 2019; accepted October 19, 2019. Date of publication October 29, 2019; date of current version January 15, 2020. This research has been supported in part by the IIMA IDEA Telecom Centre of Excellence (IITCOE) and Qualcomm Innovation Fellowship. L. Hanzo would like to acknowledge the financial support of the Engineering and Physical Sciences Research Council projects EP/Noo4558/1, EP/PO34284/1, COALESCE, of the Royal Society’s Global Challenges Research Fund Grant as well as of the European Research Council’s Advanced Fellow Grant QuantCom. The associate editor coordinating the review of this article and approving it for publication was X. Yuan. (Corresponding author: Lajos Hanzo.) P. Singh, A. K. Jagannatham, and K. Vasudevan are with the Department of Electrical Engineering, IIT Kanpur, Kanpur 208016, India (e-mail: psrawat@iitk.ac.in; adityaj@iitk.ac.in; vasu@iitk.ac.in).
Publisher Copyright:
© 1972-2012 IEEE.
Keywords:
FBMC, MMSE, MRC, OFDM, SINR, ZF, massive MIMO, multi-cell, power scaling, single-cell, sum-rate
Identifiers
Local EPrints ID: 435296
URI: http://eprints.soton.ac.uk/id/eprint/435296
ISSN: 0090-6778
PURE UUID: 7fcd1205-3e11-45db-8f65-91b624b7b8e3
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Date deposited: 30 Oct 2019 17:30
Last modified: 18 Mar 2024 05:15
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Author:
Prem Singh
Author:
Himanshu Mishra
Author:
Aditya Jagannatham
Author:
K. Vasudevan
Author:
Lajos Hanzo
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