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Title: Joint User and Antenna Selection in Massive-MIMO Systems with QoS-Constraints
Authors: Akhtar J.
Rajawat K.
Gupta V.
Chaturvedi, Ajit Kumar
Published in: IEEE Systems Journal
Abstract: This article considers a downlink transmission in a multiuser massive multi-input-multi-output (massive-MIMO) system in both the large-scale and small-scale fading environments. While the base station has many antennas, the associated circuit costs require some antennas to be turned off, thus necessitating antenna/RF-chain selection. Furthermore, the users have quality-of-service (QoS) constraints and cannot be served within the specified power budget and also with arbitrarily low signal-to-interference-plus-noise ratios. Instead, the base stations seek to schedule only a subset of users for which the QoS-constraints can be met, while the remaining users must be scheduled in other time-frequency slots. The problem is considered under both long and short time-scales. The longer time-scale problem entails solving for the power, user allocation, and number of active antennas to be used over multiple coherence intervals. While the need to select the optimum set of users makes the problem combinatorial, a low-complexity algorithm is proposed that allows us to solve it in polynomial time. For the more computationally intensive per-coherence interval problem, we employ a convex relaxation-based approach in order to obtain an approximate solution. Detailed simulations are carried out to establish that the proposed algorithms outperform standard greedy approaches and are close to optimal for several settings. © 2007-2012 IEEE.
Citation: IEEE Systems Journal, 15(1): 497-508
Issue Date: 2021
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Antenna selection
block-coordinate descent (BCD)
majorization-minimization (MM)
massive multi-input multi-output (MIMO)
quality-of-service (QoS)
user scheduling
ISSN: 19328184
Author Scopus IDs: 57147035500
Author Affiliations: Akhtar, J., Radisys India Pvt. Ltd., Bengaluru, India
Rajawat, K., Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India
Gupta, V., Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, CA, United States
Chaturvedi, A.K., Department of Electrical Engineering, Indian Institute of Technology Kanpur, Kanpur, India
Funding Details: Science and Technology Department of Ningxia: EMR/2016/005959
Corresponding Author: Akhtar, J.; Radisys India Pvt. Ltd.India; email:
Appears in Collections:Journal Publications [ECE]

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