JOURNAL ARTICLE

Joint User Scheduling and Power Allocation for Weighted Sum-Rate Maximization in NOMA Networks

Abstract

This paper investigates optimal user selection and power distribution among users for Weighted Sum-Rate Maximization (WSRM) in downlink Non-Orthogonal Multiple Access (NOMA) networks. For a two-user WSRM problem, closed form solution which guarantees successful Successive Interference Cancellation (SIC) decoding is derived. Based on this result, a novel algorithm for joint user selection and power allocation for a multi-user scenario is presented. The proposed algorithm has the following advantages (i) solution exists under all user weigh-tratio scenarios irrespective of the convexity of the optimization problem (ii) successful SIC decoding is guaranteed (ii) has low complexity (iv) provides optimal solution. Extensive simulation results reveal that the optimal result is obtained under different user weight-ratio scenarios.

Keywords:
Telecommunications link Computer science Maximization Mathematical optimization Noma Scheduling (production processes) Decoding methods Single antenna interference cancellation Selection (genetic algorithm) Power (physics) Convexity Interference (communication) Optimization problem Algorithm Computer network Mathematics Artificial intelligence

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Topics

Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Optical Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
IoT Networks and Protocols
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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