Title | ||
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Analytical Modeling of NOMA-Based Mobile Edge Computing Systems With Randomly Located Users |
Abstract | ||
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Non-orthogonal multiple access (NOMA) has been treated as a promising technology to improve the computation offloading performance of mobile edge computing (MEC). A complete understanding of the impact of applying NOMA on MEC is essential for network operators to deploy MEC systems. In this letter, we develop a mathematical framework to analyze the impact of NOMA on offloading decisions in MEC, which captures the interaction among the offloading decisions of multiple co-channel users. Using stochastic geometry and order statistics, we derive the expression for the computation offloading probability of the $n$ -th ranked user in terms of serving distances in a NOMA-based MEC system. Numerical simulations are performed to verify the accuracy of our analysis and demonstrate the performance gain of applying NOMA on MEC. |
Year | DOI | Venue |
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2020 | 10.1109/LCOMM.2020.3013002 | IEEE Communications Letters |
Keywords | DocType | Volume |
NOMA,MEC,offloading decision,stochastic geometry,computation offloading probability | Journal | 24 |
Issue | ISSN | Citations |
12 | 1089-7798 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lixia Lin | 1 | 0 | 0.34 |
Wenan Zhou | 2 | 50 | 19.20 |
Zhongyuan Zhao | 3 | 468 | 36.64 |