Name
Title | ||
|---|---|---|
Server deployment planning and performance analysis in mobile edge computing with β-Ginibre point process |
Abstract | ||
|---|---|---|
Mobile Edge Computing (MEC) has been included in the architecture of 5G network, which is expected to give users access to approximate edge servers and reduce latency of computation-intensive applications. The deployment of MEC servers is significantly different with that of wireless cellular network base stations, since it needs to take transmission quality, coverage of the station/server and computational resource provisioning into account comprehensively. β-Ginibre point process comes from a recently studied stochastic geometry theory, which enables simulation of base station locations that could approximate better real station distribution. In this paper, an application of β-Ginibre point process in the deployment and location choice of MEC servers is presented, we then analyze the coverage and latency performance based on β-Ginibre point process. Extensive simulations verify that the proposed server deployment planning could increase coverage on mobile users and reduce the latency of MEC services. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICCChina.2018.8641151 | 2018 IEEE/CIC International Conference on Communications in China (ICCC) |
Keywords | Field | DocType |
Servers,Base stations,Edge computing,Task analysis,Wireless networks,Interference,Delays | Edge computing,Base station,Wireless network,Software deployment,Computer science,Server,Computer network,Provisioning,Mobile edge computing,Computational resource | Conference |
ISSN | ISBN | Citations |
2377-8644 | 978-1-5386-7005-7 | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |