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Clustering and Power Optimization for NOMA Multi-Objective Problems

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Document pages: 6 pages

Abstract: This paper considers uplink multiple access (MA) transmissions, where the MAtechnique is adaptively selected between Non Orthogonal Multiple Access (NOMA)and Orthogonal Multiple Access (OMA). Two types of users, namely Internet ofThings (IoT) and enhanced mobile broadband (eMBB) coexist with differentmetrics to be optimized, energy efficiency (EE) for IoT and spectral efficiency(SE) for eMBB. The corresponding multi-objective power allocation problemsaiming at maximizing a weighted sum of EE and SE are solved for both NOMA andOMA. Based on the identification of the best MA strategy, a clusteringalgorithm is then proposed to maximize the multi-objective metric per clusteras well as NOMA use. The proposed clustering, power allocation and MA selectionalgorithm is shown to outperform other clustering solutions and non-adaptive MAtechniques.

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