首页|Distributed user pairing and effective computation offloading in aerial edge networks

Distributed user pairing and effective computation offloading in aerial edge networks

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Future Sixth-Generation(6G)mobile communication networks extremely require the global connectivity and the ground Base Stations(BSs)are difficult to develop in some specific areas,such as mountainous areas.Therefore,the aerial networks are the key framework for the future communications,in which the aerial vehicle could act as the access point.Additionally,Mobile Edge Computing(MEC)is also essential to enhance the data processing capabilities of aer-ial networks.In this paper,we study a comprehensive communication-computation resource man-agement problem for jointly optimizing user pairing,power and time allocation in the MEC aided Cognitive Radio(CR)aerial networks,namely CR-MEC aerial networks.Explicitly,this multilevel optimization problem could be decomposed into the user pairing and power allocation as well as time allocation sub-problems.In the conceived CR-MEC aerial networks,we propose a User Pair-ing and Computation Offloading Management Algorithm(UPCOMA)based on three-sided match-ing theory,aiming to minimize the system's energy consumption.At the first step of UPCOMA,multiple Primary Users(PUs)and Cognitive Users(CUs)on the ground negotiate to each other with the suitable power allocation coefficients and construct the stable user pairs.Moreover,the stable user pairs would match to a high altitude platform who act as the base station,which is for appropriately allocating Transmission Time Slots(TSs)at the second step of UPCOMA.Addi-tionally,a hybrid offloading mode is proposed in our conceived networks in order to support ground users to offload their tasks adaptively according to their individual deadlines.Furthermore,the simulation results reveal that the relative performance of UPCOMA is close to that of the Brute-Force Search Algorithm(BFSA)with low complexity.Meanwhile,the hybrid offloading mode with less energy consumption supports much more ground user pairs to offload tasks com-pared to the binary mode.

Aerial edge computingBinary offloadingCognitive radioHybrid offloadingResource management

Wei LIANG、Shuhui WEN、Lixin LI、Jingjing CUI

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School of Electronics and Information,Northwestern Polytechnical University,Xi'an CN710072,China

The State Key Laboratory of Integrated Services Networks,Xidian University,Xi'an CN710126,China

School of Electronics and Computer Science,University of Southampton,Southampton SO167NS,UK

国家自然科学基金Shenzhen Science Technology Program,ChinaKey Research and Development Plan of Shaan Xi Province,China

62101450JCYJ202103241210060172023YBGY037

2024

10.1016/j.cja.2023.10.028

中国航空学报(英文版)
中国航空学会

中国航空学报(英文版)

CSTPCDEI
影响因子：0.847
ISSN：1000-9361
年,卷(期)：2024.37(4)
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