access icon free Subcarrier and power allocation scheme for downlink OFDM-NOMA systems

© The Institution of Engineering and Technology
Received 02/04/2016, Accepted 29/07/2016, Revised 09/07/2016, Published 03/08/2016

In this study, the authors investigate the resource allocation (RA) problem for the downlink orthogonal frequency division multiplexing based non-orthogonal multiple access (OFDM-NOMA) system. The RA problem is decomposed into two subproblems of subcarrier allocation (SA) and power allocation (PA). For the SA, a user grouping based greedy algorithm is proposed under the assumption that power is uniformly distributed among all the selected users. For the PA, the authors propose the iterative water-filling and specific user rate maximising criterion with minimum rate constraints (iterative WF + SURMC-MRC) scheme to jointly consider the PA problem among the selected users on one subcarrier and the PA problem among subcarriers. The simulation results show that the spectral efficiency performance of the proposed iterative WF + SURMC-MRC scheme outperforms those of the (non-iterative) WF + SURMC-MRC scheme and the uniform distribution (UD) + SURMC-MRC scheme. Moreover, the iterative WF + SURMC-MRC scheme has advantages in resisting against the user overloading compared with the (non-iterative) WF + SURMC-MRC scheme.

Inspec keywords: resource allocation; greedy algorithms; multi-access systems; OFDM modulation; iterative methods

Other keywords: specific user rate maximising criterion; user grouping based greedy algorithm; orthogonal frequency division multiplexing; nonorthogonal multiple access system; iterative WF-SURMC-MRC scheme; RA problem; minimum rate constraint; power allocation scheme; resource allocation problem; downlink OFDM-NOMA system; spectral efficiency performance; iterative water-filling criterion; uniform distribution; UD; subcarrier allocation scheme

Subjects: Interpolation and function approximation (numerical analysis); Multiple access communication; Modulation and coding methods

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