Time Slicing in Mobile TV Broadcast Networks with Arbitrary Channel Bit Rates

Hsu, Cheng-Hsin; Hefeeda, Mohamed

doi:10.1109/infcom.2009.5062148

Cited by 18 publications

(17 citation statements)

References 16 publications

(28 reference statements)

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“…We first assume that the receiver buffer can be divided into two buffers of size each and the two buffers can be accessed in parallel. This is known as the double-buffering scheme [23]. Since one half of the buffer can be drained while the other half is being filled up in parallel, the scheme always has one buffer for receiving the current burst.…”

Section: A Proposed Approximation Algorithm 1) Overview Of the Propomentioning

confidence: 99%

Energy-Efficient Multicasting of Scalable Video Streams Over WiMAX Networks

Sharangi

Krishnamurti

Hefeeda

2011

IEEE Trans. Multimedia

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Abstract-The Multicast/Broadcast Service (MBS) feature of mobile WiMAX network is a promising technology for providing wireless multimedia, because it allows the delivery of multimedia content to large-scale user communities in a cost-efficient manner. In this paper, we consider WiMAX networks that transmit multiple video streams encoded in scalable manner to mobile receivers using the MBS feature. We focus on two research problems in such networks: 1) maximizing the video quality and 2) minimizing energy consumption for mobile receivers. We formulate and solve the substream selection problem to maximize the video quality, which arises when multiple scalable video streams are broadcast to mobile receivers with limited resources. We show that this problem is NP-Complete, and design a polynomial time approximation algorithm to solve it. We prove that the solutions computed by our algorithm are always within a small constant factor from the optimal solutions. In addition, we extend our algorithm to reduce the energy consumption of mobile receivers. This is done by transmitting the selected substreams in bursts, which allows mobile receivers to turn off their wireless interfaces to save energy. We show how our algorithm constructs burst transmission schedules that reduce energy consumption without sacrificing the video quality. Using extensive simulation and mathematical analysis, we show that the proposed algorithm: 1) is efficient in terms of execution time, 2) achieves high radio resource utilization, 3) maximizes the received video quality, and 4) minimizes the energy consumption for mobile receivers.

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Section: A Proposed Approximation Algorithm 1) Overview Of the Propomentioning

confidence: 99%

Energy-Efficient Multicasting of Scalable Video Streams Over WiMAX Networks

Sharangi

Krishnamurti

Hefeeda

2011

IEEE Trans. Multimedia

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“…Finally, our previous works studied the burst transmission problems and proposed time slicing schedules for mobile TV networks that broadcast nonscalable video streams to a single class of mobile devices [17][18][19]. That is, our previous works assumed that all mobile devices receive the entire video streams.…”

Section: Related Workmentioning

confidence: 99%

Video Broadcasting to Heterogeneous Mobile Devices

Hsu

Hefeeda

2009

Networking 2009

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Abstract. We study the problem of broadcasting multiple scalable video streams to heterogeneous mobile devices, which have limited energy budgets. We show that scalable video streams should be broadcast in a different manner than nonscalable streams; otherwise energy of mobile devices could be wasted. We propose an efficient broadcast scheme for mobile TV networks that explicitly supports heterogeneous mobile devices, and we show its correctness as well as performance in terms of energy saving. We implement the proposed scheme in a real mobile TV testbed to evaluate its performance. Our results indicate that, with the proposed broadcast scheme, significant energy savings can be achieved by different heterogeneous devices. For example, using the proposed broadcast scheme allows mobile devices to achieve energy saving between 62% to 92%, while using the current broadcast scheme only allows them to achieve energy saving 62% despite how many layers they can (or opt to) receive and decode.

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“…However, the time slicing mechanism increases the channel switching delay. Hsu and Hefeeda [38] show the existence of a tradeoff between the energy saving and channel switching delay because of the timing slicing scheme: increasing energy saving results in an increase in the channel switching delay, which may be annoying to users. This is because mobile devices save more energy by receiving data in larger, but less frequent, bursts.…”

Section: Problem Statementmentioning

confidence: 99%