2020
DOI: 10.1016/j.phycom.2020.101188
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Distributed energy-efficiency maximization in energy-harvesting uplink NOMA relay ad-hoc networks: Game-theoretic modeling and analysis

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Cited by 6 publications
(9 citation statements)
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“…In order to significantly improved the performance of the NOMA system, EXIT charts analysis was presented in [18]. A centralized energy-efficiency maximizing power allocation scheme was developed in [19]. But, a higher throughput was not obtained.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…In order to significantly improved the performance of the NOMA system, EXIT charts analysis was presented in [18]. A centralized energy-efficiency maximizing power allocation scheme was developed in [19]. But, a higher throughput was not obtained.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Throughput was not increased [19] Centralized energy-efficiency maximizing power allocation scheme Minimize the energy Higher throughput was not obtained [20] Optimized power role switching-NOMA (OPRS-NOMA) method…”
Section: Detect the Convergence Behaviormentioning
confidence: 99%
“…Recently, Baidas 36 also studied the problem of joint relay assignment and EE maximization in UL NOMA-HetNets. The authors mainly aimed at devising a joint optimization technique of user pairing to maximize EE over each relay through multi-objective optimization to satisfy the users’ QoS constraints.…”
Section: A Survey Of Recent Advances Of Noma In Hetnetsmentioning
confidence: 99%
“…In the case of NOMA-enabled HetNets, the players can be the users or base stations, or both, and the strategies are made up from the analogous user association decisions. 36 Game theory is appropriate in designing distributed algorithms with adaptable self-configuration attributes, despite just imposing a little communication overhead. 56 However, one notable point is that game theory assumes that all the players are rational and act in their best interests.…”
Section: Taxonomy Of Ul Noma In Hetnetsmentioning
confidence: 99%
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