On the Design of Computation Offloading in Cache-Aided D2D Multicast Networks

As the demand of data-hungry and computing intensive tasks grows dramatically, cache-aided device-to-device multicast (D2MD) networks are introduced, which can offload traffic from the base stations to D2D users (DUEs) directly to alleviate the heavy burden on backhaul links and improve the energy a...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Dongyu Wang [verfasserIn] Yanwen Lan [verfasserIn] Tiezhu Zhao [verfasserIn] Zhenping Yin [verfasserIn] Xiaoxiang Wang [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	D2D Multicast content offloading cooperative caching coded caching computation offloading MEC

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 6(2018), Seite 63426-63441
Übergeordnetes Werk:	volume:6 ; year:2018 ; pages:63426-63441

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2018.2876893

Katalog-ID:	DOAJ016089812

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spelling	10.1109/ACCESS.2018.2876893 doi (DE-627)DOAJ016089812 (DE-599)DOAJf745799cee004f49b1655f23240cd0a9 DE-627 ger DE-627 rakwb eng TK1-9971 Dongyu Wang verfasserin aut On the Design of Computation Offloading in Cache-Aided D2D Multicast Networks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As the demand of data-hungry and computing intensive tasks grows dramatically, cache-aided device-to-device multicast (D2MD) networks are introduced, which can offload traffic from the base stations to D2D users (DUEs) directly to alleviate the heavy burden on backhaul links and improve the energy and spectrum efficiency. However, most previous works ignored the limitation of battery power and scarce computing capabilities of DUEs. In this paper, we study the computation and traffic offloading in cache-aided D2MD networks for the content delivery and delay sensitive task offloading services. Firstly, in order to provide stable multicast links and enhanced computing resources, a D2D cluster head (DCH) selection strategy is proposed that jointly considers the social attributes, available energy, and transfer rate of DUEs. Secondly, to improve the efficiency of content distribution and optimize the energy consumption of content delivery, we propose a novel multicast-aware coded and cooperative caching scheme, which may increase the opportunity for D2D multicasting to obtain the desired contents. Thirdly, considering the DUEs association, uplink full duplex DCH transmission power allocation, and mobile edge computing computation resource scheduling, an optimization computation offloading model is formulated. On this basis, we model the computation offloading and resource allocation optimization problem. Furthermore, we transform this problem into user allocation optimization problem and resource allocation optimization problem (RAOP), and RAOP is proved as a convex problem, and the optimal resource allocation solution is found. Finally, the simulation results show that our proposed schemes can effectively decrease the energy consumption and computing costs. D2D Multicast content offloading cooperative caching coded caching computation offloading MEC Electrical engineering. Electronics. Nuclear engineering Yanwen Lan verfasserin aut Tiezhu Zhao verfasserin aut Zhenping Yin verfasserin aut Xiaoxiang Wang verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 63426-63441 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:63426-63441 https://doi.org/10.1109/ACCESS.2018.2876893 kostenfrei https://doaj.org/article/f745799cee004f49b1655f23240cd0a9 kostenfrei https://ieeexplore.ieee.org/document/8502937/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2018 63426-63441
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allfieldsSound	10.1109/ACCESS.2018.2876893 doi (DE-627)DOAJ016089812 (DE-599)DOAJf745799cee004f49b1655f23240cd0a9 DE-627 ger DE-627 rakwb eng TK1-9971 Dongyu Wang verfasserin aut On the Design of Computation Offloading in Cache-Aided D2D Multicast Networks 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier As the demand of data-hungry and computing intensive tasks grows dramatically, cache-aided device-to-device multicast (D2MD) networks are introduced, which can offload traffic from the base stations to D2D users (DUEs) directly to alleviate the heavy burden on backhaul links and improve the energy and spectrum efficiency. However, most previous works ignored the limitation of battery power and scarce computing capabilities of DUEs. In this paper, we study the computation and traffic offloading in cache-aided D2MD networks for the content delivery and delay sensitive task offloading services. Firstly, in order to provide stable multicast links and enhanced computing resources, a D2D cluster head (DCH) selection strategy is proposed that jointly considers the social attributes, available energy, and transfer rate of DUEs. Secondly, to improve the efficiency of content distribution and optimize the energy consumption of content delivery, we propose a novel multicast-aware coded and cooperative caching scheme, which may increase the opportunity for D2D multicasting to obtain the desired contents. Thirdly, considering the DUEs association, uplink full duplex DCH transmission power allocation, and mobile edge computing computation resource scheduling, an optimization computation offloading model is formulated. On this basis, we model the computation offloading and resource allocation optimization problem. Furthermore, we transform this problem into user allocation optimization problem and resource allocation optimization problem (RAOP), and RAOP is proved as a convex problem, and the optimal resource allocation solution is found. Finally, the simulation results show that our proposed schemes can effectively decrease the energy consumption and computing costs. D2D Multicast content offloading cooperative caching coded caching computation offloading MEC Electrical engineering. Electronics. Nuclear engineering Yanwen Lan verfasserin aut Tiezhu Zhao verfasserin aut Zhenping Yin verfasserin aut Xiaoxiang Wang verfasserin aut In IEEE Access IEEE, 2014 6(2018), Seite 63426-63441 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:6 year:2018 pages:63426-63441 https://doi.org/10.1109/ACCESS.2018.2876893 kostenfrei https://doaj.org/article/f745799cee004f49b1655f23240cd0a9 kostenfrei https://ieeexplore.ieee.org/document/8502937/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 6 2018 63426-63441
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callnumber-first	T - Technology
author	Dongyu Wang
spellingShingle	Dongyu Wang misc TK1-9971 misc D2D Multicast misc content offloading misc cooperative caching misc coded caching misc computation offloading misc MEC misc Electrical engineering. Electronics. Nuclear engineering On the Design of Computation Offloading in Cache-Aided D2D Multicast Networks
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topic_title	TK1-9971 On the Design of Computation Offloading in Cache-Aided D2D Multicast Networks D2D Multicast content offloading cooperative caching coded caching computation offloading MEC
topic	misc TK1-9971 misc D2D Multicast misc content offloading misc cooperative caching misc coded caching misc computation offloading misc MEC misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc D2D Multicast misc content offloading misc cooperative caching misc coded caching misc computation offloading misc MEC misc Electrical engineering. Electronics. Nuclear engineering
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title	On the Design of Computation Offloading in Cache-Aided D2D Multicast Networks
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title_sort	on the design of computation offloading in cache-aided d2d multicast networks
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title_auth	On the Design of Computation Offloading in Cache-Aided D2D Multicast Networks
abstract	As the demand of data-hungry and computing intensive tasks grows dramatically, cache-aided device-to-device multicast (D2MD) networks are introduced, which can offload traffic from the base stations to D2D users (DUEs) directly to alleviate the heavy burden on backhaul links and improve the energy and spectrum efficiency. However, most previous works ignored the limitation of battery power and scarce computing capabilities of DUEs. In this paper, we study the computation and traffic offloading in cache-aided D2MD networks for the content delivery and delay sensitive task offloading services. Firstly, in order to provide stable multicast links and enhanced computing resources, a D2D cluster head (DCH) selection strategy is proposed that jointly considers the social attributes, available energy, and transfer rate of DUEs. Secondly, to improve the efficiency of content distribution and optimize the energy consumption of content delivery, we propose a novel multicast-aware coded and cooperative caching scheme, which may increase the opportunity for D2D multicasting to obtain the desired contents. Thirdly, considering the DUEs association, uplink full duplex DCH transmission power allocation, and mobile edge computing computation resource scheduling, an optimization computation offloading model is formulated. On this basis, we model the computation offloading and resource allocation optimization problem. Furthermore, we transform this problem into user allocation optimization problem and resource allocation optimization problem (RAOP), and RAOP is proved as a convex problem, and the optimal resource allocation solution is found. Finally, the simulation results show that our proposed schemes can effectively decrease the energy consumption and computing costs.
abstractGer	As the demand of data-hungry and computing intensive tasks grows dramatically, cache-aided device-to-device multicast (D2MD) networks are introduced, which can offload traffic from the base stations to D2D users (DUEs) directly to alleviate the heavy burden on backhaul links and improve the energy and spectrum efficiency. However, most previous works ignored the limitation of battery power and scarce computing capabilities of DUEs. In this paper, we study the computation and traffic offloading in cache-aided D2MD networks for the content delivery and delay sensitive task offloading services. Firstly, in order to provide stable multicast links and enhanced computing resources, a D2D cluster head (DCH) selection strategy is proposed that jointly considers the social attributes, available energy, and transfer rate of DUEs. Secondly, to improve the efficiency of content distribution and optimize the energy consumption of content delivery, we propose a novel multicast-aware coded and cooperative caching scheme, which may increase the opportunity for D2D multicasting to obtain the desired contents. Thirdly, considering the DUEs association, uplink full duplex DCH transmission power allocation, and mobile edge computing computation resource scheduling, an optimization computation offloading model is formulated. On this basis, we model the computation offloading and resource allocation optimization problem. Furthermore, we transform this problem into user allocation optimization problem and resource allocation optimization problem (RAOP), and RAOP is proved as a convex problem, and the optimal resource allocation solution is found. Finally, the simulation results show that our proposed schemes can effectively decrease the energy consumption and computing costs.
abstract_unstemmed	As the demand of data-hungry and computing intensive tasks grows dramatically, cache-aided device-to-device multicast (D2MD) networks are introduced, which can offload traffic from the base stations to D2D users (DUEs) directly to alleviate the heavy burden on backhaul links and improve the energy and spectrum efficiency. However, most previous works ignored the limitation of battery power and scarce computing capabilities of DUEs. In this paper, we study the computation and traffic offloading in cache-aided D2MD networks for the content delivery and delay sensitive task offloading services. Firstly, in order to provide stable multicast links and enhanced computing resources, a D2D cluster head (DCH) selection strategy is proposed that jointly considers the social attributes, available energy, and transfer rate of DUEs. Secondly, to improve the efficiency of content distribution and optimize the energy consumption of content delivery, we propose a novel multicast-aware coded and cooperative caching scheme, which may increase the opportunity for D2D multicasting to obtain the desired contents. Thirdly, considering the DUEs association, uplink full duplex DCH transmission power allocation, and mobile edge computing computation resource scheduling, an optimization computation offloading model is formulated. On this basis, we model the computation offloading and resource allocation optimization problem. Furthermore, we transform this problem into user allocation optimization problem and resource allocation optimization problem (RAOP), and RAOP is proved as a convex problem, and the optimal resource allocation solution is found. Finally, the simulation results show that our proposed schemes can effectively decrease the energy consumption and computing costs.
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title_short	On the Design of Computation Offloading in Cache-Aided D2D Multicast Networks
url	https://doi.org/10.1109/ACCESS.2018.2876893 https://doaj.org/article/f745799cee004f49b1655f23240cd0a9 https://ieeexplore.ieee.org/document/8502937/ https://doaj.org/toc/2169-3536
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up_date	2024-07-03T18:55:21.814Z
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On the Design of Computation Offloading in Cache-Aided D2D Multicast Networks

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