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Social-Aware Spectrum Sharing and Caching Helper Selection Strategy Optimized Multicast Video Streaming in Dense D2D 5G Networks
Social-Aware Spectrum Sharing and Caching Helper Selection Strategy Optimized Multicast Video Streaming in Dense D2D 5G Networks
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Date
2021
Authors
Nguyen-Son Vo
Thanh-Minh Phan
Minh-Phung Bui
Xuan-Kien Dang
Nguyen Trung Viet
Cheng Yin
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Research Projects
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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.
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Keywords
"5G ultradense networks,
caching and clustering,
device-to-device (D2D) multicast communications,
resource sharing,
social-aware networks,
video applications and services (VASs)."