JOURNAL ARTICLE

Uplink Power Allocation for RSMA-aided User-centric Cell-free Massive MIMO Systems

Abstract

This paper tackles the problem of maximizing the minimum spectral efficiency (SE) via allocation of the uplink optimal transmission power in a rate splitting multiple access (RSMA)-aided user-centric (UC) cell-free (CF) massive MIMO (mMIMO) system. It is shown that the optimization problem is non-convex. The problem is then transformed into a second-order cone programming problem which is solved iteratively by leveraging the bisection method. Numerical results demonstrate the effectiveness of the RSMA technique to improve the 95%-likely SE gain by up to 332% compared to a UC CF mMIMO system with no power control.

Keywords:
Telecommunications link Computer science Bisection method Mathematical optimization Resource allocation MIMO Power control Power (physics) Convex optimization Transmission (telecommunications) Optimization problem Geometric programming Distributed computing Regular polygon Algorithm Computer network Mathematics Telecommunications

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13
Cited By
2.16
FWCI (Field Weighted Citation Impact)
18
Refs
0.86
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Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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