Caching and multicasting for fog radio access networks

Cache-enabled Fog radio access network (F-RAN) is a promising technology to alleviate the traffic congestion and boost the contents delivery success rate. The efficiency of disseminating the cached contents in F-RAN can be boosted by enabling multicast service at the fog access points (F-APs). This...

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Main Authors: Bani-Bakr, Alaa, Reyad Hindia, Mhd Nour, Dimyati, Kaharudin, Zawawi, Zati Bayani, Tengku Mohmed Noor Izam, Tengku Faiz
Format: Article
Published: Institute of Electrical and Electronics Engineers 2022
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Online Access:http://eprints.um.edu.my/33524/
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spelling my.um.eprints.335242022-08-02T01:03:32Z http://eprints.um.edu.my/33524/ Caching and multicasting for fog radio access networks Bani-Bakr, Alaa Reyad Hindia, Mhd Nour Dimyati, Kaharudin Zawawi, Zati Bayani Tengku Mohmed Noor Izam, Tengku Faiz QA75 Electronic computers. Computer science TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Cache-enabled Fog radio access network (F-RAN) is a promising technology to alleviate the traffic congestion and boost the contents delivery success rate. The efficiency of disseminating the cached contents in F-RAN can be boosted by enabling multicast service at the fog access points (F-APs). This paper proposes a joint random caching and multicasting optimization scheme for wireless backhauled F-RAN. Using tools from stochastic geometry, the expression of the successful transmission probability (STP) is derived by carefully analyzing the different types of serving F-APs and interferers. Then, a closed-form expression of the asymptotic STP in the high SNR region is derived to reduce the complexity. The joint caching and multicasting optimization problem is formulated to maximize the STP. The optimization problem is complex and non-convex in general. A novel projected cuckoo search algorithm (PCSA) is proposed to obtain the optimal content placement that maximizes the STP. The numerical simulation results show that PCSA outperforms the original cuckoo search algorithm (CSA) and the proposed asymptotically joint caching and multicasting scheme outperforms the benchmark caching schemes by up to 15% higher STPs. Institute of Electrical and Electronics Engineers 2022 Article PeerReviewed Bani-Bakr, Alaa and Reyad Hindia, Mhd Nour and Dimyati, Kaharudin and Zawawi, Zati Bayani and Tengku Mohmed Noor Izam, Tengku Faiz (2022) Caching and multicasting for fog radio access networks. IEEE Access, 10. pp. 1823-1838. ISSN 2169-3536, DOI https://doi.org/10.1109/ACCESS.2021.3137148 <https://doi.org/10.1109/ACCESS.2021.3137148>. 10.1109/ACCESS.2021.3137148
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic QA75 Electronic computers. Computer science
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle QA75 Electronic computers. Computer science
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Bani-Bakr, Alaa
Reyad Hindia, Mhd Nour
Dimyati, Kaharudin
Zawawi, Zati Bayani
Tengku Mohmed Noor Izam, Tengku Faiz
Caching and multicasting for fog radio access networks
description Cache-enabled Fog radio access network (F-RAN) is a promising technology to alleviate the traffic congestion and boost the contents delivery success rate. The efficiency of disseminating the cached contents in F-RAN can be boosted by enabling multicast service at the fog access points (F-APs). This paper proposes a joint random caching and multicasting optimization scheme for wireless backhauled F-RAN. Using tools from stochastic geometry, the expression of the successful transmission probability (STP) is derived by carefully analyzing the different types of serving F-APs and interferers. Then, a closed-form expression of the asymptotic STP in the high SNR region is derived to reduce the complexity. The joint caching and multicasting optimization problem is formulated to maximize the STP. The optimization problem is complex and non-convex in general. A novel projected cuckoo search algorithm (PCSA) is proposed to obtain the optimal content placement that maximizes the STP. The numerical simulation results show that PCSA outperforms the original cuckoo search algorithm (CSA) and the proposed asymptotically joint caching and multicasting scheme outperforms the benchmark caching schemes by up to 15% higher STPs.
format Article
author Bani-Bakr, Alaa
Reyad Hindia, Mhd Nour
Dimyati, Kaharudin
Zawawi, Zati Bayani
Tengku Mohmed Noor Izam, Tengku Faiz
author_facet Bani-Bakr, Alaa
Reyad Hindia, Mhd Nour
Dimyati, Kaharudin
Zawawi, Zati Bayani
Tengku Mohmed Noor Izam, Tengku Faiz
author_sort Bani-Bakr, Alaa
title Caching and multicasting for fog radio access networks
title_short Caching and multicasting for fog radio access networks
title_full Caching and multicasting for fog radio access networks
title_fullStr Caching and multicasting for fog radio access networks
title_full_unstemmed Caching and multicasting for fog radio access networks
title_sort caching and multicasting for fog radio access networks
publisher Institute of Electrical and Electronics Engineers
publishDate 2022
url http://eprints.um.edu.my/33524/
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score 13.18916