JOURNAL ARTICLE

Joint User Scheduling and Power Allocation for Energy Efficient Millimeter Wave NOMA Systems With Random Beamforming

Abstract

In this paper, we investigate the user scheduling and power allocation scheme for a millimeter wave non-orthogonal multiple access system. To reduce the feedback overhead, random beamforming is adopted at a base station. The optimization problem is formulated to maximize the energy efficiency. To solve this problem, we first address the user scheduling and power allocation problem separately, then an iterative algorithm is proposed to jointly optimize the user scheduling and power allocation. Simulation results show that the proposed scheme achieves higher energy efficiency than the conventional scheme.

Keywords:
Noma Computer science Beamforming Scheduling (production processes) Base station Efficient energy use Mathematical optimization Optimization problem Distributed computing Real-time computing Computer network Algorithm Telecommunications Engineering Telecommunications link Electrical engineering Mathematics

Metrics

14
Cited By
1.23
FWCI (Field Weighted Citation Impact)
14
Refs
0.82
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Millimeter-Wave Propagation and Modeling
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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