Title
Analytical Modeling of NOMA-Based Mobile Edge Computing Systems With Randomly Located Users
Abstract
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
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 Lin100.34
Wenan Zhou25019.20
Zhongyuan Zhao346836.64