Spectrum Efficiency Optimization for SWIPT-Enabled Hybrid Precoding in mm-Wave Massive MIMO-NOMA Systems
Jacob Ogwu *
Electrical and Electronics Engineering Department, University of Uyo, Nigeria.
Kufre M. Udofia
Electrical and Electronics Engineering Department, University of Uyo, Nigeria.
Akaninyene B. Obot
Electrical and Electronics Engineering Department, University of Uyo, Nigeria.
*Author to whom correspondence should be addressed.
Abstract
Enhancing spectrum efficiency (SE) remains central to the evolution of 5G millimeter-wave (mm-wave) massive MIMO networks. This paper presents an integrated approach combining hybrid precoding and non-orthogonal multiple access (NOMA) for simultaneous information and power transfer. A three-stage framework is proposed: (1) a Dynamic Cluster-Head Selection algorithm that forms low-correlation user groups to reduce inter-beam interference; (2) a Compressed Sensing–Driven Committee Machine Design (CS-COMADE) that strengthens array gain and suppresses inter-user interference; and (3) an iterative joint power-allocation procedure that maximizes SE under energy and quality-of-service constraints. Simulation results show that the proposed method attains near-digital precoding performance—within 7% of fully digital zero-forcing benchmarks—while outperforming conventional MIMO-OMA and existing hybrid NOMA designs by up to 35% in SE. The proposed framework demonstrates strong scalability, offering a practical pathway for high-capacity, energy-aware mm-wave implementations in future 5G and beyond-5G systems.
Keywords: Spectrum efficiency, mm-wave, hybrid precoding, NOMA, CS-COMADE, SWIPT