Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D
Presented as an innovative paradigm incorporating the cloud computing into radio access network, Cloud radio access networks (C-RANs) have been shown advantageous in curtailing the capital and operating expenditures as well as providing better services to the customers. However, heavy burden on the...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
European Alliance for Innovation (EAI)
2015-09-01
|
Series: | EAI Endorsed Transactions on Wireless Spectrum |
Subjects: | |
Online Access: | http://eudl.eu/doi/10.4108/eai.19-8-2015.2260167 |
id |
doaj-331967dcca574886a522fa0f86ce9102 |
---|---|
record_format |
Article |
spelling |
doaj-331967dcca574886a522fa0f86ce91022020-11-25T01:28:32ZengEuropean Alliance for Innovation (EAI)EAI Endorsed Transactions on Wireless Spectrum2312-66202015-09-01141610.4108/eai.19-8-2015.2260167Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2DXiang Hongyu0Mugen Peng1Yuanyuan Cheng2Hsiao-Hwa Chen3Beijing University of Posts and TelecommunicationsBeijing University of Posts and Telecommunications; pmg@bupt.edu.cnBeijing University of Posts and TelecommunicationsNational Cheng Kung UniversityPresented as an innovative paradigm incorporating the cloud computing into radio access network, Cloud radio access networks (C-RANs) have been shown advantageous in curtailing the capital and operating expenditures as well as providing better services to the customers. However, heavy burden on the non-ideal fronthaul limits performances of CRANs. Here we focus on the alleviation of burden on the fronthaul via the edge devices’ caches and propose a fog computing based RAN (F-RAN) architecture with three candidate transmission modes: device to device, local distributed coordination, and global C-RAN. Followed by the proposed simple mode selection scheme, the average energy efficiency (EE) of systems optimization problem considering congestion control is presented. Under the Lyapunov framework, the problem is reformulated as a joint mode selection and resource allocation problem, which can be solved by block coordinate descent method. The mathematical analysis and simulation results validate the benefits of F-RAN and an EE-delay tradeoff can be achieved by the proposed algorithm.http://eudl.eu/doi/10.4108/eai.19-8-2015.2260167fog radio access networks (f-rans)mode selectionresource allocationlyapunov optimization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiang Hongyu Mugen Peng Yuanyuan Cheng Hsiao-Hwa Chen |
spellingShingle |
Xiang Hongyu Mugen Peng Yuanyuan Cheng Hsiao-Hwa Chen Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D EAI Endorsed Transactions on Wireless Spectrum fog radio access networks (f-rans) mode selection resource allocation lyapunov optimization |
author_facet |
Xiang Hongyu Mugen Peng Yuanyuan Cheng Hsiao-Hwa Chen |
author_sort |
Xiang Hongyu |
title |
Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D |
title_short |
Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D |
title_full |
Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D |
title_fullStr |
Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D |
title_full_unstemmed |
Joint Mode Selection and Resource Allocation for Downlink Fog Radio Access Networks Supported D2D |
title_sort |
joint mode selection and resource allocation for downlink fog radio access networks supported d2d |
publisher |
European Alliance for Innovation (EAI) |
series |
EAI Endorsed Transactions on Wireless Spectrum |
issn |
2312-6620 |
publishDate |
2015-09-01 |
description |
Presented as an innovative paradigm incorporating the cloud computing into radio access network, Cloud radio access networks (C-RANs) have been shown advantageous in curtailing the capital and operating expenditures as well as providing better services to the customers. However, heavy burden on the non-ideal fronthaul limits performances of CRANs. Here we focus on the alleviation of burden on the fronthaul via the edge devices’ caches and propose a fog computing based RAN (F-RAN) architecture with three candidate transmission modes: device to device, local distributed coordination, and global C-RAN. Followed by the proposed simple mode selection scheme, the average energy efficiency (EE) of systems optimization problem considering congestion control is presented. Under the Lyapunov framework, the problem is reformulated as a joint mode selection and resource allocation problem, which can be solved by block coordinate descent method. The mathematical analysis and simulation results validate the benefits of F-RAN and an EE-delay tradeoff can be achieved by the proposed algorithm. |
topic |
fog radio access networks (f-rans) mode selection resource allocation lyapunov optimization |
url |
http://eudl.eu/doi/10.4108/eai.19-8-2015.2260167 |
work_keys_str_mv |
AT xianghongyu jointmodeselectionandresourceallocationfordownlinkfogradioaccessnetworkssupportedd2d AT mugenpeng jointmodeselectionandresourceallocationfordownlinkfogradioaccessnetworkssupportedd2d AT yuanyuancheng jointmodeselectionandresourceallocationfordownlinkfogradioaccessnetworkssupportedd2d AT hsiaohwachen jointmodeselectionandresourceallocationfordownlinkfogradioaccessnetworkssupportedd2d |
_version_ |
1725101009343086592 |