Abstract
Power Domain Non-Orthogonal Multiple Access (PD-NOMA) is a perspective multiplexing technique for future cellular networks. Nevertheless, it is poorly studied and not applied in the existing systems due to the complexity of PD-NOMA signal processing, resource scheduling, and power allocation. The issue is that a modulation and coding scheme (MCS) selection, including power allocation, is a cooperative procedure considering the channel state information of each multiplexed user. It can be solved by enumerating all possible multiplexing combinations but at the expense of the high computational complexity. In our work, we propose a composed table with the joint MCS’s, which can be selected by the base station (BS) for the user multiplexing in a downlink PD-NOMA system based on their signal-to-noise (SNR) ratios. It allows selecting two MCS’s with two power allocation coefficients for both users and guarantees the 10% block error rate (BLER) performance in the additive white Gaussian noise (AWGN) channel. The joint MCS selection method is based on a max-rate scheduling strategy and provides system capacity maximization ignoring fairness between users. The proposed table is given in the Appendix.
Highlights
Power Domain Non-Orthogonal Multiple Access (PD-NOMA) is one of the perspective techniques for user multiplexing in future networks
The issue is that user signals are dependent on each other, and it should be considered during resource scheduling, cooperative modulation and coding scheme (MCS) selection, and multiplexing
Unlike orthogonal multiple access (OMA), in PD-NOMA systems, the users are non-orthogonal in the power domain, and it is a reason for the joint MCS selection
Summary
PD-NOMA is one of the perspective techniques for user multiplexing in future networks. The power allocation coefficients should be calculated by taking into account the channel quality of each user It can be carried out by enumerating all possible multiplexing configurations and selecting the most effective of them (joint MCS’s and power allocation coefficients) at the expense of the high computational complexity. We propose a table that makes it possible to select the pair of MCS levels depending on the user SNR values considering the max C/I scheduling strategy. It maximizes the system throughput instantly by selecting two MCS’s that have the highest sum SE. This approach has a very low computing complexity and may be a temporary solution for the AMC in a two-user PD-NOMA system until an optimal approach is found
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