Social-aware Cooperative Caching in Fog Radio Access Networks

Baotian Fan; Yanxiang Jiang; Fu Chun Zheng; Mehdi Bennis; Xiaohu You

doi:10.1109/ICC45855.2022.9839236

Social-aware Cooperative Caching in Fog Radio Access Networks

Baotian Fan
, Yanxiang Jiang^*
, Fu Chun Zheng
, Mehdi Bennis
, Xiaohu You

^*Corresponding author for this work

Southeast University, Nanjing
Harbin Institute of Technology Shenzhen
University of Oulu

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

6 Scopus citations

Abstract

In this paper, the cooperative caching problem in fog radio access networks (F-RANs) is investigated to jointly optimize the transmission delay and energy consumption. Exploiting the potential social relationships among fog access points (F-APs), we firstly propose a clustering scheme based on hedonic coalition game (HCG) to improve the potential cooperation gain. Then, considering that the optimization problem is non-deterministic polynomial hard (NP-hard), we further propose an improved firefly algorithm (FA) based cooperative caching scheme, which utilizes a mutation strategy based on local content popularity to avoid pre-mature convergence. Simulation results show that our proposed scheme can effectively reduce the content transmission delay and energy consumption in comparison with the baselines.

Original language	English
Title of host publication	ICC 2022 - IEEE International Conference on Communications
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1672-1677
Number of pages	6
ISBN (Electronic)	9781538683477
DOIs	https://doi.org/10.1109/ICC45855.2022.9839236
State	Published - 2022
Externally published	Yes
Event	2022 IEEE International Conference on Communications, ICC 2022 - Seoul, Korea, Republic of Duration: 16 May 2022 → 20 May 2022

Publication series

Name	IEEE International Conference on Communications
Volume	2022-May
ISSN (Print)	1550-3607

Conference

Conference	2022 IEEE International Conference on Communications, ICC 2022
Country/Territory	Korea, Republic of
City	Seoul
Period	16/05/22 → 20/05/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Fog radio access networks
cooperative caching
firefly algorithm
hedonic coalition game
social-aware

Access to Document

10.1109/ICC45855.2022.9839236

Cite this

Fan, B., Jiang, Y., Zheng, F. C., Bennis, M., & You, X. (2022). Social-aware Cooperative Caching in Fog Radio Access Networks. In ICC 2022 - IEEE International Conference on Communications (pp. 1672-1677). (IEEE International Conference on Communications; Vol. 2022-May). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC45855.2022.9839236

@inproceedings{58dcd3b52d7241418bad7da766a63045,

title = "Social-aware Cooperative Caching in Fog Radio Access Networks",

abstract = "In this paper, the cooperative caching problem in fog radio access networks (F-RANs) is investigated to jointly optimize the transmission delay and energy consumption. Exploiting the potential social relationships among fog access points (F-APs), we firstly propose a clustering scheme based on hedonic coalition game (HCG) to improve the potential cooperation gain. Then, considering that the optimization problem is non-deterministic polynomial hard (NP-hard), we further propose an improved firefly algorithm (FA) based cooperative caching scheme, which utilizes a mutation strategy based on local content popularity to avoid pre-mature convergence. Simulation results show that our proposed scheme can effectively reduce the content transmission delay and energy consumption in comparison with the baselines.",

keywords = "Fog radio access networks, cooperative caching, firefly algorithm, hedonic coalition game, social-aware",

author = "Baotian Fan and Yanxiang Jiang and Zheng, \{Fu Chun\} and Mehdi Bennis and Xiaohu You",

note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE International Conference on Communications, ICC 2022 ; Conference date: 16-05-2022 Through 20-05-2022",

year = "2022",

doi = "10.1109/ICC45855.2022.9839236",

language = "英语",

series = "IEEE International Conference on Communications",

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

pages = "1672--1677",

booktitle = "ICC 2022 - IEEE International Conference on Communications",

address = "美国",

}

Fan, B, Jiang, Y, Zheng, FC, Bennis, M & You, X 2022, Social-aware Cooperative Caching in Fog Radio Access Networks. in ICC 2022 - IEEE International Conference on Communications. IEEE International Conference on Communications, vol. 2022-May, Institute of Electrical and Electronics Engineers Inc., pp. 1672-1677, 2022 IEEE International Conference on Communications, ICC 2022, Seoul, Korea, Republic of, 16/05/22. https://doi.org/10.1109/ICC45855.2022.9839236

Social-aware Cooperative Caching in Fog Radio Access Networks. / Fan, Baotian; Jiang, Yanxiang; Zheng, Fu Chun et al.
ICC 2022 - IEEE International Conference on Communications. Institute of Electrical and Electronics Engineers Inc., 2022. p. 1672-1677 (IEEE International Conference on Communications; Vol. 2022-May).

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

TY - GEN

T1 - Social-aware Cooperative Caching in Fog Radio Access Networks

AU - Fan, Baotian

AU - Jiang, Yanxiang

AU - Zheng, Fu Chun

AU - Bennis, Mehdi

AU - You, Xiaohu

PY - 2022

Y1 - 2022

N2 - In this paper, the cooperative caching problem in fog radio access networks (F-RANs) is investigated to jointly optimize the transmission delay and energy consumption. Exploiting the potential social relationships among fog access points (F-APs), we firstly propose a clustering scheme based on hedonic coalition game (HCG) to improve the potential cooperation gain. Then, considering that the optimization problem is non-deterministic polynomial hard (NP-hard), we further propose an improved firefly algorithm (FA) based cooperative caching scheme, which utilizes a mutation strategy based on local content popularity to avoid pre-mature convergence. Simulation results show that our proposed scheme can effectively reduce the content transmission delay and energy consumption in comparison with the baselines.

AB - In this paper, the cooperative caching problem in fog radio access networks (F-RANs) is investigated to jointly optimize the transmission delay and energy consumption. Exploiting the potential social relationships among fog access points (F-APs), we firstly propose a clustering scheme based on hedonic coalition game (HCG) to improve the potential cooperation gain. Then, considering that the optimization problem is non-deterministic polynomial hard (NP-hard), we further propose an improved firefly algorithm (FA) based cooperative caching scheme, which utilizes a mutation strategy based on local content popularity to avoid pre-mature convergence. Simulation results show that our proposed scheme can effectively reduce the content transmission delay and energy consumption in comparison with the baselines.

KW - Fog radio access networks

KW - cooperative caching

KW - firefly algorithm

KW - hedonic coalition game

KW - social-aware

UR - https://www.scopus.com/pages/publications/85137260316

U2 - 10.1109/ICC45855.2022.9839236

DO - 10.1109/ICC45855.2022.9839236

M3 - 会议稿件

AN - SCOPUS:85137260316

T3 - IEEE International Conference on Communications

SP - 1672

EP - 1677

BT - ICC 2022 - IEEE International Conference on Communications

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 IEEE International Conference on Communications, ICC 2022

Y2 - 16 May 2022 through 20 May 2022

ER -

Social-aware Cooperative Caching in Fog Radio Access Networks

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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