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035			_a(RuTPU)RU\TPU\network\38950
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101	0		_aeng
135			_adrcn ---uucaa
181		0	_ai
182		0	_ab
200	1		_aMaximizing the latency fairness in UAV-assisted MEC system _fH. Hydher, D. N. K. Dzhayakodi (Jayakody) Arachshiladzh, S. Panic
203			_aText _celectronic
300			_aTitle screen
320			_a[References: 36 tit.]
330			_aUnmanned aerial vehicles (UAV) assisted edge computing has risen as an assuring technique to accommodate ubiquitous edge computation for resource-limited devices. Thus, this paper proposes an approach to maximize the latency fairness in a UAV-assisted multi-access edge computing (MEC) system. To maximize latency fairness, the authors focus on minimizing the maximum latency experienced among the users. In here, multiple ground users (GUs) offload their tasks to MEC UAV in the absence or unavailability of ground servers due to a disaster or heavy traffic where an iterative algorithm is proposed to minimize the maximum latency among the users subject to minimum control link rate and total power constraints. Sequentially, the UAVs' 3D location, offloading ratio, GUs' transmit power and GUs' computational capacity are optimized. The location of the UAV is optimized by using the novel approach, guided pattern search algorithm while the altitude of the UAV is optimized by analyzing the elevation angle dependant behaviour of the channel gain. A simple approach is utilized for optimizing the offloading ratio of the users by considering the problem as minimizing the point-wise maximum of two convex functions while the bisection method is used to optimize the power allocation. Numerical simulation results illustrate that the proposed approach outperforms other baseline approaches in convergence, minimizing the maximum latency and maximizing and maintaining the fairness among the GUs. Furthermore, it is proved that the guided pattern search algorithm converges at least 3.5 times better while the proposed combined optimization gives 400% fairness gain, in comparison with the baseline approach.
333			_aРежим доступа: по договору с организацией-держателем ресурса
461			_tIET Intelligent Transport Systems
463			_tVol. 16, iss. 4 _v[P. 434-444] _d2022
610	1		_aэлектронный ресурс
610	1		_aтруды учёных ТПУ
610	1		_aбеспилотные летательные аппараты
610	1		_aмаксимизация
700		1	_aHydher _bH. _gHassaan
701		1	_aDzhayakodi (Jayakody) Arachshiladzh _bD. N. K. _cspecialist in the field of electronics _cProfessor of Tomsk Polytechnic University _f1983- _gDushanta Nalin Kumara _2stltpush _3(RuTPU)RU\TPU\pers\37962
701		1	_aPanic _bS. _gStefan
712	0	2	_aНациональный исследовательский Томский политехнический университет _bИнженерная школа информационных технологий и робототехники _bНаучно-образовательный центр "Автоматизация и информационные технологии" _h8422 _2stltpush _3(RuTPU)RU\TPU\col\27515
801		2	_aRU _b63413507 _c20220505 _gRCR
856	4		_uhttp://earchive.tpu.ru/handle/11683/70709
856	4		_uhttps://doi.org/10.1049/itr2.12126
942			_cCF