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Yue J.,Shanghai JiaoTong University | Yue J.,McMaster University | Yang B.,Shanghai JiaoTong University | Yang B.,Cyber Joint Innovation Center | And 4 more authors.
Computer Communications

Online video streaming has been experiencing great popularity in recent years, and an increasing number of video contents are now delivered via wireless networks, which brings an overwhelming burden towards mobile operators. Femtocells are introduced to improve the area spectral efficiency of wireless video delivery via short link transmission. The backhaul pressure in the presence of dense deployment of femtocells can be reduced by the technologies of femtocaching. In this paper, video clip selection and video clip assignment problems are considered for femtocaching. On one hand, since mobile users always pursue the video clips that are highly popular and can be played smoothly, it is important to ensure the satisfaction of mobile users. On the other hand, the assignment of multiple video clips among multiple femto-caches is also significant as the capacity of each cache is limited. To model the video selection dynamics of mobile users, an evolutionary game is introduced and two algorithms are proposed to result in an evolutionary stable strategies, which correspond to the balance of video popularity and video quality. For the video assignment problem, the auction-based algorithms are proposed with low complexity to approximate the social optimality with the limited caching capacities. As a consequence, all femtocells and mobile video users are satisfied with their utilities respectively. © 2014 Elsevier B.V. All rights reserved. Source

Yue J.,McMaster University | Yue J.,Shanghai JiaoTong University | Yang B.,Shanghai JiaoTong University | Yang B.,Cyber Joint Innovation Center | And 3 more authors.
IEEE Communications Letters

Video is experiencing an unprecedented development in the recent decade. Based on content reuse, multiple video users could share same video clips. Also, as a common scene, video users are always chasing popular video clips. In this paper, we apply video popularity as a spontaneous label to distinguish different video clips. Moreover, we associate video popularity with video quality, thus facilitating video users in pursuing video clips with both satisfying video popularity and video quality. We first apply evolutionary game to model the video clip selection process, and then propose a Q-learning based algorithm. © 2014 IEEE. Source

Zhu X.,Shanghai JiaoTong University | Yang B.,Shanghai JiaoTong University | Yang B.,Cyber Joint Innovation Center | Chen C.,Shanghai JiaoTong University | And 5 more authors.
IEEE Transactions on Vehicular Technology

This paper considers the resource allocation problem in an orthogonal-frequency-division-multiple-access (OFDMA)-based cognitive radio (CR) network, where the CR base station adopts a full-overlay scheme to transmit both private and open information to multiple users with average delay and power constraints. A stochastic optimization problem is formulated to develop flow control and radio resource allocation to maximize the long-term system throughput of open and private information in a CR system and ensure the stability of the primary system. The corresponding optimal condition for employing full overlay is derived in the context of concurrent transmission of open and private information. An online resource allocation scheme is designed to adapt the transmission of open and private information based on monitoring the status of the primary system, as well as the channel and queue states in the CR network. The scheme is proven to be asymptotically optimal in solving the stochastic optimization problem without knowing any statistical information. Simulations are provided to verify the analytical results and efficiency of the scheme. © 2015 IEEE. Source

Chen C.,Shanghai JiaoTong University | Chen C.,Cyber Joint Innovation Center | Yan J.,Yanshan University | Lu N.,University of Waterloo | And 5 more authors.
IEEE Transactions on Emerging Topics in Computing

Ubiquitous monitoring over wireless sensor networks (WSNs) is of increasing interest in industrial cyber-physical systems (CPSs). Question of how to understand a situation of physical system by estimating process parameters is largely unexplored. This paper is concerned with the distributed estimation problem for industrial automation over relay-assisted WSNs. Different from most existing works on WSN with homogeneous sensor nodes, the network considered in this paper consists of two types of nodes, i.e., sensing nodes (SNs), which is capable of sensing and computing, and relay nodes (RNs), which is only capable of simple data aggregation. We first adopt a Kalman filtering (KF) approach to estimate the unknown physical parameters. In order to facilitate the decentralized implementation of the KF algorithm in relay-assisted WSNs, a tree-based broadcasting strategy is provided for distributed sensor fusion. With the fused information, the consensus-based estimation algorithms are proposed for SNs and RNs, respectively. The proposed method is applied to estimate the slab temperature distribution in a hot rolling process monitoring system, which is a typical industrial CPS. It is demonstrated that the introduction of RNs improves temperature estimation efficiency and accuracy compared with the homogeneous WSN with SNs only. © 2013 IEEE. Source

Li H.,Shanghai JiaoTong University | Yang B.,Shanghai JiaoTong University | Yang B.,Cyber Joint Innovation Center | Yu W.,Shanghai JiaoTong University | And 4 more authors.
26th Chinese Control and Decision Conference, CCDC 2014

E-healthcare systems of Wireless Body Area Network (WBAN) promise enormous change in future healthcare industry. The system generally consists of multiple sensor nodes that monitor various medical signals and deliver data to a network coordinator for further processing. One of the major issues of such systems is energy efficiency, owing to the limited power supply and difficult replacement of batteries in some implanted sensors. Hence, developing an energy-efficient scheduling policy to prolong sensors' lifetime brings great significance to a WBAN. In this paper, we investigate the problem with Lyapunov optimization technique and propose a dynamic scheduling policy including sleep scheduling and opportunistic transmission, which takes into account time-varying channel condition. We demonstrate that our policy can push the energy consumption arbitrarily close to the global minimum solution while sustaining the network stability. © 2014 IEEE. Source

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