Energy-Efficient Resource Allocation for IRS-Assisted Multi-Antenna Uplink Systems

In this paper, we study the resource allocation for an intelligent reflecting surface (IRS)-assisted uplink system, where the base station is equipped with multiple antennas. We propose to jointly optimize the transmit power of the users, active beamforming at the base station, and passive beamformi...

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Bibliographic Details
Published in:arXiv.org 2020-07
Main Authors: Zeng, M, Mohamed, E B, Dobre, O A, tier, P, Pham, Q V
Format: Article
Language:English
Subjects:
Antennas
Beamforming
Energy efficiency
Iterative solution
Quadratic programming
Resource allocation
Online Access:Get full text
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Summary:In this paper, we study the resource allocation for an intelligent reflecting surface (IRS)-assisted uplink system, where the base station is equipped with multiple antennas. We propose to jointly optimize the transmit power of the users, active beamforming at the base station, and passive beamforming at the IRS to maximize the overall system energy efficiency while maintaining users' minimum rate constraints. This problem belongs to a highly intractable non-convex bi-quadratic programming problem, for which an iterative solution based on block coordinate descent is proposed. Extensive simulations are conducted to demonstrate the effectiveness of the proposed scheme and the benefits of having more elements at the IRS.
ISSN:2331-8422