Joint mode selection and resource allocation for downlink fog radio access networks supported D2D

Hongyu Xiang; Mugen Peng; Yuanyuan Cheng; Hsiao Hwa Chen

doi:10.4108/eai.19-8-2015.2260167

Joint mode selection and resource allocation for downlink fog radio access networks supported D2D

Hongyu Xiang
, Mugen Peng
, Yuanyuan Cheng
, Hsiao Hwa Chen

Department of Engineering Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

32 Citations (Scopus)

Abstract

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 C-RANs. 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.

Original language	English
Title of host publication	Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	177-182
Number of pages	6
ISBN (Electronic)	9781631900631
DOIs	https://doi.org/10.4108/eai.19-8-2015.2260167
Publication status	Published - 2015 Nov 19
Event	11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015 - Taipei, Taiwan Duration: 2015 Aug 19 → 2015 Aug 20

Publication series

Name	Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015

Other

Other	11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015
Country/Territory	Taiwan
City	Taipei
Period	15-08-19 → 15-08-20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

All Science Journal Classification (ASJC) codes

Computer Networks and Communications

Access to Document

10.4108/eai.19-8-2015.2260167

Cite this

Xiang, H., Peng, M., Cheng, Y., & Chen, H. H. (2015). Joint mode selection and resource allocation for downlink fog radio access networks supported D2D. In Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015 (pp. 177-182). Article 7332564 (Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.4108/eai.19-8-2015.2260167

Xiang, Hongyu ; Peng, Mugen ; Cheng, Yuanyuan et al. / Joint mode selection and resource allocation for downlink fog radio access networks supported D2D. Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 177-182 (Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015).

@inproceedings{ead134def1674d8986696850e7f24f2f,

title = "Joint mode selection and resource allocation for downlink fog radio access networks supported D2D",

abstract = "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 C-RANs. 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.",

author = "Hongyu Xiang and Mugen Peng and Yuanyuan Cheng and Chen, \{Hsiao Hwa\}",

note = "Publisher Copyright: {\textcopyright} 2015 ICST.; 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015 ; Conference date: 19-08-2015 Through 20-08-2015",

year = "2015",

month = nov,

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doi = "10.4108/eai.19-8-2015.2260167",

language = "English",

series = "Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Xiang, H, Peng, M, Cheng, Y & Chen, HH 2015, Joint mode selection and resource allocation for downlink fog radio access networks supported D2D. in Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015., 7332564, Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015, Institute of Electrical and Electronics Engineers Inc., pp. 177-182, 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015, Taipei, Taiwan, 15-08-19. https://doi.org/10.4108/eai.19-8-2015.2260167

Joint mode selection and resource allocation for downlink fog radio access networks supported D2D. / Xiang, Hongyu; Peng, Mugen; Cheng, Yuanyuan et al.
Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 177-182 7332564 (Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Joint mode selection and resource allocation for downlink fog radio access networks supported D2D

AU - Xiang, Hongyu

AU - Peng, Mugen

AU - Cheng, Yuanyuan

AU - Chen, Hsiao Hwa

PY - 2015/11/19

Y1 - 2015/11/19

N2 - 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 C-RANs. 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.

AB - 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 C-RANs. 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.

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DO - 10.4108/eai.19-8-2015.2260167

M3 - Conference contribution

AN - SCOPUS:84962430623

T3 - Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015

SP - 177

EP - 182

BT - Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015

Y2 - 19 August 2015 through 20 August 2015

ER -

Xiang H, Peng M, Cheng Y, Chen HH. Joint mode selection and resource allocation for downlink fog radio access networks supported D2D. In Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 177-182. 7332564. (Proceedings of the 11th EAI International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QSHINE 2015). doi: 10.4108/eai.19-8-2015.2260167

Joint mode selection and resource allocation for downlink fog radio access networks supported D2D

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