Adaptive Resource Allocation for Layer-Encoded IPTV Multicasting in IEEE 802.16 WiMAX Wireless Networks

Kuo, Wen-Hsing; Liao, Wanjiun; Liu, Tehuang

doi:10.1109/tmm.2010.2082350

Cited by 51 publications

(32 citation statements)

References 15 publications

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“…We consider a SVC multicasting service over a WiMAX network with the same wireless system parameters described in [3], where 7 level of MCSs in WiMAX standard are chosen. The channel quality is quantized to corresponding seven levels G = {1, 2, 3, 4, 5, 6, 7}.…”

Section: Simulation Resultsmentioning

confidence: 99%

“…The allocation rule takes the system state s as input and outputs the corresponding MCS for each layer. In a utility-based system [3], [4], a common and reasonable choice of D is the overall utility maximization, that is,…”

Section: System Modelmentioning

confidence: 99%

“…In a wireless system with finite choices of the supported MCSs, this problem has been shown to be NP-hard [3]. Therefore, heuristic approaches are required and can be found in the literature [3]- [8].…”

Section: System Modelmentioning

confidence: 99%

“…Generally, the wireless multicast resource allocation problem is NP-hard [3]. Therefore, approximate greedy algorithms [3]- [5] and dynamic programming [6]- [8] have been proposed. This problem becomes more challenging when it comes to cognitive radio [9].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Optimal pricing in stochastic scalable video coding multicasting system

Wang

Chen

Wei

et al. 2013

2013 Proceedings IEEE INFOCOM

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Abstract-Heterogeneous multimedia content delivery over wireless networks is an important yet challenging issue. A promising solution is combining multicasting and scalable video coding (SVC) techniques via cross-layer design which has been shown to be effectively solution in the literature. Nevertheless, most existing works on SVC multicasting system focus on the static scenarios. In addition, the economic value of SVC multicasting system has seldom been explored. In this work, we study a subscriptionbased SVC multicasting system with stochastic user arrival and heterogeneous user preferences. A stochastic framework based on Multi-dimensional Markov Decision Process (M-MDP) is proposed to study the negative network externality existing in the proposed system. A game-theoretic analysis is conducted to understand the rational demands from heterogeneous users the subscription economic model. We show that the optimal pricing strategy which maximizes the expected revenue of the service provider can be derived through dynamic iterative updating techniques. Moreover, the overall user's valuation on the system is maximized under such an optimal pricing strategy. Finally, the solution efficiency is evaluated through simulations.

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Section: Simulation Resultsmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Optimal pricing in stochastic scalable video coding multicasting system

Wang

Chen

Wei

et al. 2013

2013 Proceedings IEEE INFOCOM

View full text Add to dashboard Cite

show abstract

“…Deb et al (2008) modeled the multicast resource allocation problem as an optimization problem and presented a fast greedy algorithm to maximize total utility. Kuo et al (2011) proposed a utility-based resource allocation scheme which firstly served all base layers and then offered additional enhancement layers to certain scheduled users by maximizing the marginal utility. However, reliability and throughput capacity of layered video multicasting could be further improved by collaborating with erasure coding (Ge et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Optimal Resource Allocation for Layered Video Multicasting in Wimax

Teng¹,

Wu²,

Hwang³

2014

Journal of Computer Science

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Real-time video disseminations over wireless links such as video telephony, video conferencing and mobile TV have become fast growing applications. In order to cope with the increasing users' demand, a new scalable and efficient wireless distribution platform is needed. With numerous advantages such as QoS assurance, high data rate and wide coverage, WiMAX has been regarded as an ideal choice to provide ubiquitous access for multimedia applications. However, how to achieve effective layered video multicasting in WiMAX networks is a challenging issue. In this study, we propose a utility-based resource allocation mechanism for layered video multicasting. In the proposed approach, Application-Layer Forward Error Correction (AL-FEC) is employed to deal with inevitable packet loss. Thus, for each video layer, WiMAX base stations can jointly choose a proper Modulation-and-Coding Scheme (MCS) and AL-FEC overheads to transmit. Our goal is to maximize the system utility which comprises two important factors, system reward and resource usage. System reward represents the summation of video quality of all subscribers while resource usage denotes the consumed WiMAX resources in terms of time slots. To efficiently obtain the optimal solution, we propose two heuristic algorithms, namely genetic algorithm and Layered Policy Iteration (LPI) algorithm and compared their performance to the optimal solution found by exhaustive search. We demonstrate the performance of the approaches via extensive simulations. The simulation results show that the LPI algorithm can provide great service quality and utilize system resource effectively.

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Improving energy‐efficient communications with a battery lifetime‐aware mechanism in IEEE802.16e wireless networks

Chou

Hong

2012

Concurrency and Computation

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Green network communication has recently received attention because of its economic and environmentally friendly benefits. Energy consumption significantly affects mobile subscriber stations in wireless broadband access networks. Efficient energy saving is an important and challenging issue because all mobile stations are powered by limited battery lifetimes. The IEEE 802.16e standard adopts the sleep mode operation for energy saving with three important parameters: idle threshold, initial sleep window and final sleep window. Adaptively adjusting these parameters to improve energy-efficient communication is an open research topic. This paper proposes a battery lifetime-aware energy-saving mechanism to adaptively adjust three sleep mode parameters for mobile stations and extend batteries lives. The new mechanism considers effect factors, including residual battery lifetime and traffic load on mobile stations. Analytical sleep mode operation models were explored in this work. Our proposed mechanism was examined with a computer simulation using QualNet. The simulation results demonstrate that the proposed mechanism outperforms the IEEE 802.16e standard in the average lives of mobile stations, improving them by up to 30.08% with little increase in the average waiting delay. INTRODUCTIONGreen network communication has recently received much attention because of its significant properties, which offer important economic and environmentally friendly benefits. Gradual energy scarcity and the impact of global warming on the environment are inevitable. To address the need of reducing carbon dioxide emission for energy generation, people are finding solutions to reduce energy consumption and improve the energy-saving efficiency in network communication. The trade-off between saving energy and efficient network communication is a subtle research issue in green wireless communication [1]. Moreover, efficiently utilizing limited network resources, including network bandwidths, battery energy and network devices capacity in wireless networks, greatly affects the performance of energy-efficient networks. Cross-layer approaches to green networks are increasingly proposed, addressing energy consumption minimization, power management, network management (handover and mobility management) and practical implementations [2]. Medium access protocols in wireless sensor networks were modified to reduce energy consumption due to transmission channel contention with guaranteed Quality of Service (QoS) [3]. Reservation-based bandwidth polling mechanisms and an adaptive scheduling strategy were designed to optimize scarce network resource management [4,5]. In the network layer, energy-efficient routing protocols in wireless ad hoc networks were widely studied to

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Adaptive Resource Allocation for Layer-Encoded IPTV Multicasting in IEEE 802.16 WiMAX Wireless Networks

Cited by 51 publications

References 15 publications

Optimal pricing in stochastic scalable video coding multicasting system

Optimal pricing in stochastic scalable video coding multicasting system

Optimal Resource Allocation for Layered Video Multicasting in Wimax

Improving energy‐efficient communications with a battery lifetime‐aware mechanism in IEEE802.16e wireless networks

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