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Wireless Networks

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01.07.2022 | Original Paper

Access probability optimization for streaming media transmission in heterogeneous cellular networks

verfasst von: Jie Jia, Linjiao Xia, Pengshuo Ji, Jian Chen, Xingwei Wang

Erschienen in: Wireless Networks | Ausgabe 7/2022

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Abstract

FemtoCaching technology, aiming at maximizing the access probability of streaming media transmission in heterogeneous cellular networks, is investigated in this paper. Firstly, five kinds of streaming media deployment schemes are proposed based on the network topology and the relationship between users and streaming media. Secondly, a matching algorithm for adaptive streaming media deployment is proposed, where the FemtoCaching can be adjusted dynamically. Thirdly, a joint problem is formulated combined with the channel assignment, the power allocation, and the caching deployment. To address this problem, we propose a joint optimization algorithm combining matching algorithm and genetic algorithm to maximize the access probability of streaming media transmission. Simulation experiments demonstrate that: (1) the average access probability of all users accessing streaming media in the network based on the proposed algorithm compared with recent works can be greatly improved, and (2) the performance increases with increasing the number of channels and the storage capacity of micro base stations, but decreases with increasing the number of users.

Vorheriger Artikel Channel coding for cooperative wideband spectrum sensing under imperfect reporting channels

Nächster Artikel On the outage performance of decode-and-forward based relay ordering in cognitive wireless sensor networks

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Titel: Access probability optimization for streaming media transmission in heterogeneous cellular networks
verfasst von: Jie Jia
Linjiao Xia
Pengshuo Ji
Jian Chen
Xingwei Wang
Publikationsdatum: 01.07.2022
Verlag: Springer US
Erschienen in: Wireless Networks / Ausgabe 7/2022
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI: https://doi.org/10.1007/s11276-022-03014-9

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