Interference cancellation for cell-edge users in massive MIMO-NOMA systems: a contemporary overview
Behnam Akbarian and
Saeed Ghazi-Maghrebi ()
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Behnam Akbarian: Islamic Azad University
Saeed Ghazi-Maghrebi: Islamic Azad University
Telecommunication Systems: Modelling, Analysis, Design and Management, 2024, vol. 87, issue 4, No 9, 1033-1044
Abstract:
Abstract Massive multiple-input multiple-output (MIMO) systems integrated with non-orthogonal multiple access (NOMA) hold promise for achieving high spectral efficiency but encounter challenges stemming from increased Multi-Access Interference (MAI), particularly notable for users located at cell edges. This paper presents a novel MIMO-NOMA framework designed to effectively mitigate MAI, specifically tailored to address the complexities faced by cell-edge users. Our proposed framework overcomes the limitations of conventional MIMO-NOMA systems by introducing a solution that minimizes the requisite power level escalation for ensuring reliable communication, a particularly crucial consideration as user populations expand. Comparative analysis reveals that our approach yields substantial improvements in spectral efficiency and system capacity when contrasted with traditional MIMO-NOMA configurations. Moreover, our framework facilitates the accommodation of a larger number of users within a single channel, thereby optimizing network resource utilization. To further enhance interference mitigation while upholding user Quality of Service, we introduce a novel user grouping strategy termed Triangle-NOMA, leveraging network interference analysis to efficiently group users, with a specific emphasis on alleviating interference for cell-edge users. The proposed framework integrates comprehensive analysis, precoding techniques, and an efficient detector to optimize user performance. Simulation results validate the efficacy of our approach, demonstrating significant system-wide enhancements.
Keywords: Multiple input multiple output (MIMO); Non orthogonal multiple access (NOMA); Precoding design; Space time block code (STBC) (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11235-024-01219-1
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