User Association in Hybrid UAV-cellular Networks for Massive Real-time IoT Applications

被引:0
|
作者
Foroughi, Parisa [1 ,2 ]
Beyranvand, Hamzeh [2 ]
Gagnaire, Maurice [1 ]
Al Zahr, Sawsan [1 ]
机构
[1] Telecom ParisTech LTCI, Dept Networks & Comp Sci, Paris, France
[2] Amirkabir Univ Technol, Dept Elect Engn, Tehran, Iran
来源
IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS) | 2020年
关键词
5G; real-time applications; Internet of Things; Mobile edge computing; Fiber-wireless networks; Genetic algorithms;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
5G mobile networks will have to deal simultaneously with three types of traffic: mobile broadband communications, critical communications and Internet of Things (IoT). In this paper, we propose a novel hybrid SG Fiber-Wireless (FiWi) access architecture equipped with Mobile Edge Computing-enabled (MEC) macro base stations and investigate its performance. Given the proposed architecture, we aim to solve the user association problem under differentiated Quality of Service (QoS). Indeed, we aim at maximizing the number of the users that are served by the network within their latency constraints, having IoT and haptic applications' requirements in mind. Our approach to solve the user association problem is based on Genetic Algorithms (GA).
引用
收藏
页码:243 / 248
页数:6
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