JOURNAL ARTICLE

Enhanced Uplink Resource Allocation in Non-Orthogonal Multiple Access Systems

Rukhsana RubyShuxin ZhongHailiang YangKaishun Wu

Year: 2017 Journal:   IEEE Transactions on Wireless Communications Vol: 17 (3)Pages: 1432-1444   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Non-orthogonal multiple access (NOMA) is envisioned to be one of the most beneficial technologies for next generation wireless networks due to its enhanced performance compared with other conventional radio access techniques. Although the principle of NOMA allows multiple users to use the same frequency resource, due to decoding complication, the information of users in practical systems cannot be decoded successfully if many of them use the same channel. Consequently, assigned spectrum of a system needs to be split into multiple subchannels in order to multiplex that among many users. Uplink resource allocation for such systems is more complicated compared with the downlink ones due to the individual users' power constraints and the discrete nature of subchannel assignment. In this paper, we propose an uplink subchannel and power allocation scheme for such systems. Due to the NP-hard and non-convex nature of the problem, the complete solution, that optimizes both subchannel assignment and power allocation jointly, is intractable. Consequently, we solve the problem in two steps. First, based on the assumption that the maximal power level of a user is subdivided equally among its allocated subchannels, we apply many-to-many matching model to solve the subchannel-user mapping problem. Then, in order to enhance the performance of the system further, we apply iterative water-filling and geometric programming two power allocation techniques to allocate power in each allocated subchannel-user slot optimally. Extensive simulation has been conducted to verify the effectiveness of the proposed scheme. The results demonstrate that the proposed scheme always outperforms all existing works in this context under all possible scenarios.

Keywords:
Computer science Telecommunications link Resource allocation Noma Mathematical optimization Resource management (computing) Decoding methods Geometric programming Wireless Computer network Distributed computing Algorithm Telecommunications Mathematics

Metrics

67
Cited By
4.23
FWCI (Field Weighted Citation Impact)
39
Refs
0.95
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Advanced Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
PAPR reduction in OFDM
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
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