Uplink Power Allocation for RSMA-aided User-centric Cell-free Massive MIMO Systems
Manobendu Sarker, Abraham O. Fapojuwo
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.
Topics & Concepts
Telecommunications linkComputer scienceBisection methodMathematical optimizationResource allocationMIMOPower controlPower (physics)Convex optimizationTransmission (telecommunications)Optimization problemGeometric programmingDistributed computingRegular polygonAlgorithmComputer networkMathematicsTelecommunicationsChannel (broadcasting)PhysicsGeometryQuantum mechanicsAdvanced MIMO Systems OptimizationAdvanced Wireless Communication TechnologiesEnergy Harvesting in Wireless Networks