2019
DOI: 10.1109/jstsp.2019.2903745
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A General Framework for Temporal Fair User Scheduling in NOMA Systems

Abstract: Non-orthogonal multiple access (NOMA) is one of the promising radio access techniques for next generation wireless networks. Opportunistic multi-user scheduling is necessary to fully exploit multiplexing gains in NOMA systems, but compared with traditional scheduling, inter-relations between users' throughputs induced by multi-user interference poses new challenges in the design of NOMA schedulers. A successful NOMA scheduler has to carefully balance the following three objectives: maximizing average system ut… Show more

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Cited by 18 publications
(28 citation statements)
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“…Opportunistic multi-user scheduling under long-term temporal fairness constraints was formulated in [7]. We provide a summary and formulate multi-user scheduling under short-term fairness constraints.…”
Section: Problem Formulationmentioning
confidence: 99%
See 3 more Smart Citations
“…Opportunistic multi-user scheduling under long-term temporal fairness constraints was formulated in [7]. We provide a summary and formulate multi-user scheduling under short-term fairness constraints.…”
Section: Problem Formulationmentioning
confidence: 99%
“…It was shown in [7], that under long-term fairness constraints, a special class of scheduling strategies called threshold based strategies (TBS) achieve optimal system utility. However, application of TBSs does not guarantee short-term fairness.…”
Section: Multi-user Scheduling Strategymentioning
confidence: 99%
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“…The proof is provided in Appendix C. Note that the arguments provided in [16] to prove a similar statement for NOMA systems are not directly applicable since the proof depends on the set of virtual users which is different in FD systems. The following Corollary provides sufficient optimality conditions which will be used for devising a low complexity algorithm to estimate the optimal thresholds in the next sections.…”
Section: A Scheduling Under Long-term Fairness Constraintsmentioning
confidence: 99%