JOURNAL ARTICLE

Game User-Oriented Multimedia Transmission over Cognitive Radio Networks

Jing‐Fang HuangHonggang WangYi Qian

Year: 2014 Journal:   2015 IEEE Global Communications Conference (GLOBECOM) Vol: 45 Pages: 1-6

Abstract

Cognitive radio (CR) networks have been developed to fully utilize spectrum resources. In the CR networks, imperfect sensing and selfish behavior of secondary users (SU) can significantly degrade the performance of primary users (PU). Game theory, which considers the game players' (PU/SU) selfish behavior, has been extensively investigated in the design of CR network. However, most related works focus on the network protocol design from the network perspective to improve video transmission system (i.e., PU) performance such as utility and throughput. However, a user's satisfaction such as user's quality of experience (QoE) has been largely neglected in existing works. In this paper, we propose to design a game user-oriented CR network for video applications, aiming to improve the QoE of users. In the proposed framework, the primary user games and the secondary user games are formulated as Stackelberg game. Specifically, a refunding term is defined in the user's utility function to effectively consider and to reflect the QoE requirement of video streaming users. Our contributions include two folds: (1) A game based CR network design for video transmission is proposed, and the network user's QoE requirement is satisfied in the design; (2) The existence and uniqueness of the Stackelberg game's Nash equilibrium is proved, and the design is optimal. Our theoretical analysis and simulation results demonstrate the effectiveness of the game-based user-oriented CR network design.

Keywords:
Stackelberg competition Computer science Quality of experience Cognitive radio Computer network Game theory Multimedia Throughput Cognitive network Nash equilibrium Video game User experience design Human–computer interaction Quality of service Telecommunications Wireless

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
28
Refs
0.41
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications

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Journal:   2015 IEEE Global Communications Conference (GLOBECOM) Year: 2015 Vol: 45 Pages: 1-6
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