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Fairness-aware Location and Hybrid Beamforming Optimization in IRSs-aided Cell-free MIMO System | IEEE Conference Publication | IEEE Xplore

Fairness-aware Location and Hybrid Beamforming Optimization in IRSs-aided Cell-free MIMO System


Abstract:

Intelligent reflecting surface/Reconfigurable intelligent surface (IRS/RIS) and cell-free networks have been proposed as revolutionary technologies for beyond fifth-gener...Show More

Abstract:

Intelligent reflecting surface/Reconfigurable intelligent surface (IRS/RIS) and cell-free networks have been proposed as revolutionary technologies for beyond fifth-generation (B5G) and sixth-generation (6G) communication, which may significantly improve the connection quality and coverage to meet future communication demand for extremely massive connectivity and high reliability. In this paper, we proposed a low-complexity fractional programming (FP) based fairness-aware location and hybrid beamforming optimization method in IRSs-assisted cell-free MIMO systems. The minimum rate of user (UE) was optimized by jointly optimizing the passive beamforming in IRSs, location of IRSs, and transmit beamforming at base stations (BSs). Different from previous works, which required solving many feasible second-order cone program (SOCP) and semi-definite relaxation (SDR) problems in each iteration, our algorithm only needs to solve SOCP and SDR once in each iteration. The convergence of the proposed algorithm is validated by numerical results and our proposed method can improve the minimum rate by approximately 51% compared with FP transmit beamforming with random phase shift of IRS.
Date of Conference: 10-12 August 2023
Date Added to IEEE Xplore: 05 September 2023
ISBN Information:
Print on Demand(PoD) ISSN: 2377-8644
Conference Location: Dalian, China

Funding Agency:


I. Introduction

To improve the performance of wireless communication networks in beyond fifth-generation (B5G) and sixth-generation (6G) networks, intelligent reflecting surface/reconfigurable intelligent surface (IRS/RIS) has recently been proposed as a revolutionary and promising technology [1] – [3]. By consisting of several low-cost and low-energy-consumption elements, each of which can controllably change the phase or amplitude of the incident signals, IRS can thus change the wireless channels flexibly to achieve extremely massive connectivity and higher quality of service (QoS) of users (UEs) [4]. Besides, cell-free networks, in which all base stations (BSs) serve UEs cooperatively and simultaneously with no cell boundaries so that the spectral resource can be utilized more efficiently in comparison to traditional cellular networks, are another significant technological advancement to address the demands such as high spectral efficiency, low latency, and high reliability in future B5G and 6G communication [5]. As a result, incorporating IRS into cell-free MIMO system will significantly improve the connection quality and coverage [6].

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References

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