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Social-Aware Spectrum Sharing and Caching Helper Selection Strategy Optimized Multicast Video Streaming in Dense D2D 5G Networks
Journal
IEEE Systems Journal
ISSN
1932-8184
1937-9234
2373-7816
Date Issued
2021
Author(s)
Nguyen-Son Vo
Thanh-Minh Phan
Minh-Phung Bui
Xuan-Kien Dang
Nguyen Trung Viet
Cheng Yin
DOI
10.1109/JSYST.2020.2995204
Abstract
The expected explosion of video traffic in 5G ultradense
networks will pose many challenges to the Internet service
providers, e.g., degraded capacity and unfair quality of service
(QoS). The most efficient solution is resource allocation that does
not require any network architecture changes. This article proposes
a social-aware spectrum sharing and caching helper selection (SSC)
strategy that exploits the resources of the mobile users (MUs),
i.e., downlink spectrum resources for sharing and caching storage
resources for multicasting, to offload the videos in dense deviceto-
device (D2D) 5G networks. Particularly, we consider physical
and social attributes of the MUs to formulate an SSC optimization
problem. The SSC problem is solved to optimally control: which
MUs, namely sharing mobile users (SUs), that share the downlink
spectrum resources and which MUs, namely caching mobile
helpers, that cache the requested videos for D2D multicast communications
by reusing the shared downlink spectrum resources.
The objective is to maximize the system capacity while satisfying
the constraints on capacity fluctuation among the receiving mobile
users (RUs) and target signal-to-interference-plus-noise ratio at
the SUs, to guarantee the RUs and the SUs high QoS fairness.
Simulation results are shown to demonstrate the benefits of the
SSC strategy.
networks will pose many challenges to the Internet service
providers, e.g., degraded capacity and unfair quality of service
(QoS). The most efficient solution is resource allocation that does
not require any network architecture changes. This article proposes
a social-aware spectrum sharing and caching helper selection (SSC)
strategy that exploits the resources of the mobile users (MUs),
i.e., downlink spectrum resources for sharing and caching storage
resources for multicasting, to offload the videos in dense deviceto-
device (D2D) 5G networks. Particularly, we consider physical
and social attributes of the MUs to formulate an SSC optimization
problem. The SSC problem is solved to optimally control: which
MUs, namely sharing mobile users (SUs), that share the downlink
spectrum resources and which MUs, namely caching mobile
helpers, that cache the requested videos for D2D multicast communications
by reusing the shared downlink spectrum resources.
The objective is to maximize the system capacity while satisfying
the constraints on capacity fluctuation among the receiving mobile
users (RUs) and target signal-to-interference-plus-noise ratio at
the SUs, to guarantee the RUs and the SUs high QoS fairness.
Simulation results are shown to demonstrate the benefits of the
SSC strategy.
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