Dynamic Resource Allocation for Scalable Video Streaming in OFDMA Wireless Networks

Libo Jiao,Hao Yin,Yulei Wu

doi:10.1109/access.2020.2973929

Libo Jiao, Hao Yin + Show 1 more

Open Access

https://doi.org/10.1109/access.2020.2973929

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Journal: IEEE Access	Publication Date: Jan 1, 2020
Citations: 27	License type: CC BY 4.0

Affiliation: Tsinghua University, University of Exeter

Abstract

Mobile video streaming is a successful example of Cyber-Physical-Social Systems (CPSS). How to schedule network resources and provide better mobile video streaming services for mobile users are very important. Scalable video streaming is regarded as a promising technology in wireless networks where the cognitive femtocells are overlaid within the coverage area of a macrocell network. In this paper, we study dynamic resource allocation for scalable video streaming over cache-enabled wireless networks with time-varying channel conditions. We formulate the scalable video streaming problem as a stochastic optimization problem which aims at maximizing the time-averaged system utility subject to the time-averaged video cache constraint at the server and the cross-tier interference constraint on the primary user under the sparse deployment scenario of femtocells. By employing the Lyapunov optimization theory, we design a dynamic cache and resource allocation (DCRA) algorithm to solve this problem. Furthermore, the problem is decomposed into three subproblems, i.e., video layer selection, cache placement, and wireless resource allocation. Via solving these subproblems, we derive the video layer selection and cache placement strategies, and a wireless resource allocation algorithm to manage the cross-tier interference. Simulation results demonstrate the advantages of the proposed DCRA for streaming scalable video over time-varying wireless networks.

Highlights

Cyber-physical-social systems (CPSS), which integrates the cyber, physical and social spaces together, have been a key research area for more than ten years [1]
We study video layer selection, cache placement, wireless resource allocation in orthogonal frequency-division multiple access (OFDMA)-based wireless networks under the cross-tier interference temperature constraint and network stability constraint
Without requiring the complete knowledge of wireless channel statistics, we develop a dynamic cache and resource allocation (DCRA) algorithm to efficiently solve the three subproblems at each time slot, which target at video layer selection, cache placement, and wireless resource allocation, subject to the interference temperature limit constraint and network stability constraint

Summary

Introduction

Cyber-physical-social systems (CPSS), which integrates the cyber, physical and social spaces together, have been a key research area for more than ten years [1]. According to the prediction of mobile data traffic by Cisco [5], mobile video traffic is expected to account for more than 78.6% of the global mobile data traffic by 2022. While such demands pose a stringent challenge on mobile. Networks, how to schedule network resources and provide better scalable video streaming services for mobile users in CPSS is a challenging problem. Cache-enabled wireless networks, consisting of a diverse of macrocell and cognitiveradio (CR)-enabled femtocells [6], have been recognized as a promising solution to improve the user perceived mobile video quality and reduce data traffic going through the backhaul network. Many challenging problems should be solved to fully reap their potential gains, such as interference mitigation, wireless resource allocation and dynamic network state information [7]

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