2021
DOI: 10.1007/s11276-020-02511-z
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Spectral efficiency (SE) enhancement of NOMA system through iterative power assignment

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Cited by 13 publications
(5 citation statements)
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“…Several existing literature works, i.e., refs. [1,2,[4][5][6][7][8][9][10][11][12] have explored different aspects of NOMA potential and their outcomes have approved its effectiveness, especially against its orthogonal predecessors. NOMA has proven its vitality to be adapted as a future air interface as a stand-alone, or even in combination with existing techniques such as multi-input multi-output (MIMO) [6,13,14] and device-to-device (D2D) communications [4,15,16].…”
Section: Introductionmentioning
confidence: 99%
“…Several existing literature works, i.e., refs. [1,2,[4][5][6][7][8][9][10][11][12] have explored different aspects of NOMA potential and their outcomes have approved its effectiveness, especially against its orthogonal predecessors. NOMA has proven its vitality to be adapted as a future air interface as a stand-alone, or even in combination with existing techniques such as multi-input multi-output (MIMO) [6,13,14] and device-to-device (D2D) communications [4,15,16].…”
Section: Introductionmentioning
confidence: 99%
“…Non-orthogonal multiple access (NOMA) has emerged as a candidate air-interface technology in order to provide robust network connectivity, meet high traffic demand, maintain high spectral efficiency and capacity, for the fifth-generation (5G) and beyond (5GB) cellular networks. NOMA provide power domain multiplexing among the communicating users through superposition coding and allows them to share the whole radio spectrum to amplify the overall spectral efficiency [1][2][3]. Sharing the whole bandwidth is the main difference between NOMA and its orthogonal counterparts that allocates each user with part of the available radio subcarriers [4].…”
Section: Introductionmentioning
confidence: 99%
“…DPA based metaheuristic optimization methods are iterative methods that increase implementation complexity as well as conventional DPA numerical search methods. For instance, DPA based DE 49 has been compared with GRPA, DPA based PSO 50 has been compared with NGDPA and GRPA, while DPA based GA has been compared with FTPA 51 and GRPA 52 …”
Section: Introductionmentioning
confidence: 99%
“…DPA based metaheuristic optimization methods are iterative methods that increase implementation complexity as well as conventional DPA numerical search methods. For instance, DPA based DE 49 has been compared with GRPA, DPA based PSO 50 has been compared with NGDPA and GRPA, while DPA based GA has been compared with FTPA 51 and GRPA. 52 As can be seen from the related works given above, no comprehensive and realistic comparison of various DPA strategic design methods has yet been published, taking into account the BER, sum-rate capacity, fairness, and distance between the users.…”
Section: Introductionmentioning
confidence: 99%