Abstract | ||
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This letter investigates the server deployment for a randomly deployed mobile edge computing (MEC) network. Under a given density of users, the theoretical analysis shows that there exists an optimal deployment density of MEC servers to maximize the network-wide resource utilization, and the optimum can be determined by bisection searching. In the analysis, a modified gamma distribution is introdu... |
Year | DOI | Venue |
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2022 | 10.1109/LCOMM.2022.3151467 | IEEE Communications Letters |
Keywords | DocType | Volume |
Servers,Resource management,Monte Carlo methods,Task analysis,Stochastic processes,Interference,Numerical simulation | Journal | 26 |
Issue | ISSN | Citations |
5 | 1089-7798 | 0 |
PageRank | References | Authors |
0.34 | 0 | 6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Min Hui | 1 | 0 | 0.34 |
Jian Chen | 2 | 93 | 19.77 |
Yuchen Zhou | 3 | 73 | 16.36 |
Bingtao He | 4 | 6 | 3.48 |
Keyu Wu | 5 | 0 | 0.34 |
Long Yang | 6 | 114 | 15.79 |