A Tractable Multi-RATs Offloading Scheme on D2D Communications

Device-to-device (D2D) communications achieve a considerable proximate gain by means of single hop, which can improve the link spectrum efficiency of cellular networks by reusing the shortage licensed spectrum. However, co-channel interference will become a serious challenge that will influence the...

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Main Authors: Chunpeng Liu, Chenguang He, Weixiao Meng
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
D2D
Online Access:https://ieeexplore.ieee.org/document/8037968/
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spelling doaj-a3027f927fc4419da77c5125b56a09032021-03-29T20:13:06ZengIEEEIEEE Access2169-35362017-01-015208412085110.1109/ACCESS.2017.27522248037968A Tractable Multi-RATs Offloading Scheme on D2D CommunicationsChunpeng Liu0Chenguang He1Weixiao Meng2https://orcid.org/0000-0001-8938-2866Communications Research Center, Harbin Institute of Technology, Harbin, ChinaCommunications Research Center, Harbin Institute of Technology, Harbin, ChinaCommunications Research Center, Harbin Institute of Technology, Harbin, ChinaDevice-to-device (D2D) communications achieve a considerable proximate gain by means of single hop, which can improve the link spectrum efficiency of cellular networks by reusing the shortage licensed spectrum. However, co-channel interference will become a serious challenge that will influence the performance of both D2D and cellular links if it cannot be processed appropriately. The existing solutions are limited to single radio access technology (RAT), and they all involve tradeoffs between the available terminal density and the link spectrum efficiency. In this paper, we propose the offloading scheme of D2D communications on multi-RATs, which can achieve high link spectrum efficiency without sacrificing the available terminal density. The multi-RATs offloading scheme will achieve maximum link spectrum efficiency with the retention probability as a parameter that is formulated for a non-convex function. Considering the main factor of different scenarios that refer to high and sparse available terminal densities, we propose the dynamic adjustment offloading algorithm and the sparse-density optimization offloading algorithm to solve the nonconvex problem. In addition, because we use the closed form of the stochastic geometry, the optimum offloading algorithms possess predictable features that do not break the established D2D links when a new link is applied. Finally, the simulation results show that the performance of the coverage probability and link spectrum efficiency is both greatly improved compared with the traditional D2D communications without exploiting the offloading scheme. More significantly, the spectrum efficiency of cellular links is also improved effectively due to the offloading effect.https://ieeexplore.ieee.org/document/8037968/D2Dmultiple RATsoffloadingretention probabilitystochastic geometry
collection DOAJ
language English
format Article
sources DOAJ
author Chunpeng Liu
Chenguang He
Weixiao Meng
spellingShingle Chunpeng Liu
Chenguang He
Weixiao Meng
A Tractable Multi-RATs Offloading Scheme on D2D Communications
IEEE Access
D2D
multiple RATs
offloading
retention probability
stochastic geometry
author_facet Chunpeng Liu
Chenguang He
Weixiao Meng
author_sort Chunpeng Liu
title A Tractable Multi-RATs Offloading Scheme on D2D Communications
title_short A Tractable Multi-RATs Offloading Scheme on D2D Communications
title_full A Tractable Multi-RATs Offloading Scheme on D2D Communications
title_fullStr A Tractable Multi-RATs Offloading Scheme on D2D Communications
title_full_unstemmed A Tractable Multi-RATs Offloading Scheme on D2D Communications
title_sort tractable multi-rats offloading scheme on d2d communications
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2017-01-01
description Device-to-device (D2D) communications achieve a considerable proximate gain by means of single hop, which can improve the link spectrum efficiency of cellular networks by reusing the shortage licensed spectrum. However, co-channel interference will become a serious challenge that will influence the performance of both D2D and cellular links if it cannot be processed appropriately. The existing solutions are limited to single radio access technology (RAT), and they all involve tradeoffs between the available terminal density and the link spectrum efficiency. In this paper, we propose the offloading scheme of D2D communications on multi-RATs, which can achieve high link spectrum efficiency without sacrificing the available terminal density. The multi-RATs offloading scheme will achieve maximum link spectrum efficiency with the retention probability as a parameter that is formulated for a non-convex function. Considering the main factor of different scenarios that refer to high and sparse available terminal densities, we propose the dynamic adjustment offloading algorithm and the sparse-density optimization offloading algorithm to solve the nonconvex problem. In addition, because we use the closed form of the stochastic geometry, the optimum offloading algorithms possess predictable features that do not break the established D2D links when a new link is applied. Finally, the simulation results show that the performance of the coverage probability and link spectrum efficiency is both greatly improved compared with the traditional D2D communications without exploiting the offloading scheme. More significantly, the spectrum efficiency of cellular links is also improved effectively due to the offloading effect.
topic D2D
multiple RATs
offloading
retention probability
stochastic geometry
url https://ieeexplore.ieee.org/document/8037968/
work_keys_str_mv AT chunpengliu atractablemultiratsoffloadingschemeond2dcommunications
AT chenguanghe atractablemultiratsoffloadingschemeond2dcommunications
AT weixiaomeng atractablemultiratsoffloadingschemeond2dcommunications
AT chunpengliu tractablemultiratsoffloadingschemeond2dcommunications
AT chenguanghe tractablemultiratsoffloadingschemeond2dcommunications
AT weixiaomeng tractablemultiratsoffloadingschemeond2dcommunications
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