Energy-Aware and Bandwidth-Efficient Hybrid Video Streaming Over Mobile Networks

Almowuena, Saleh; Rahman, Md. Mahfuzur; Hsu, Cheng-Hsin; Hassan, Ahmad; Hefeeda, Mohamed

doi:10.1109/tmm.2015.2502067

Cited by 36 publications

(14 citation statements)

References 45 publications

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“…Although the throughput of the unicast method was higher than that of multicast, the downside e ect is that it consumes excessive network resources while multicast has resource allocation challenge [25,26]. However, Figure 6(c) illustrates the throughput rate of our hybrid method for the tra c delivered to subscribers, which is higher than the load.…”

Section: Simulation Experiments and Resultsmentioning

confidence: 94%

“…IP multicast is required to provide IPTV services by joining the multicast group through a channel request initiated from the remote control of the subscriber's set-up box. is multicast service saves bandwidth at both the core and access networks because there is a high probability that multiple subscribers would likely watch the same program at the same time [25,26].…”

Section: Multicastmentioning

confidence: 99%

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Fast Channel Navigation of Internet Protocol Television Using Adaptive Hybrid Delivery Method

Adeliyi

Olugbara

2018

Journal of Computer Networks and Communications

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e Internet protocol television brought seamless potential that has revolutionized the media and telecommunication industries by providing a platform for transmitting digitized television services. However, zapping delay is a critical factor that affects the quality of experience in the Internet protocol television. is problem is intrinsically caused by command processing time, network delay, jitter, buffer delay, and video decoding delay. e overarching objective of this paper is to use a hybrid delivery method that agglutinates multicast-and unicast-enabled services over a converged network to minimize zapping delay to the bare minimum. e hybrid method will deliver Internet protocol television channels to subscribers using the unicast stream coupled with differentiated service quality of experience when zapping delay is greater than 0.43 s. is aids a faster transmission by sending a join message to the multicast stream at the service provider zone to acquire the requested channel. e hybrid method reported in this paper is benchmarked with the state-of-the-art multicast stream and unicast stream methods. Results show that the hybrid method has an excellent performance by lowering point-to-point queuing delay, end-to-end packet delay, and packet variation and increasing throughput rate.

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Section: Simulation Experiments and Resultsmentioning

confidence: 94%

Section: Multicastmentioning

confidence: 99%

Fast Channel Navigation of Internet Protocol Television Using Adaptive Hybrid Delivery Method

Adeliyi

Olugbara

2018

Journal of Computer Networks and Communications

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“…Video streaming on mobile devices consumes energy at all layers of the TCP/IP stack [25]. Solutions to this problem in the recent literature can be categorized into two types: the link-layer solutions that focus on managing the wireless network interface with energy-aware scheduling [26][27][28][29], and application-layer solutions that alter the video decoding and processing functions. This manuscript focuses on a content-adaptive video-encoding solution for HEVC; thus the following section briefly elaborates on the state-of-the-art with respect to the application layer class of solutions.…”

Section: Background and Related Workmentioning

confidence: 99%

A Decoding-Complexity and Rate-Controlled Video-Coding Algorithm for HEVC

et al. 2020

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Video playback on mobile consumer electronic (CE) devices is plagued by fluctuations in the network bandwidth and by limitations in processing and energy availability at the individual devices. Seen as a potential solution, the state-of-the-art adaptive streaming mechanisms address the first aspect, yet the efficient control of the decoding-complexity and the energy use when decoding the video remain unaddressed. The quality of experience (QoE) of the end-users’ experiences, however, depends on the capability to adapt the bit streams to both these constraints (i.e., network bandwidth and device’s energy availability). As a solution, this paper proposes an encoding framework that is capable of generating video bit streams with arbitrary bit rates and decoding-complexity levels using a decoding-complexity–rate–distortion model. The proposed algorithm allocates rate and decoding-complexity levels across frames and coding tree units (CTUs) and adaptively derives the CTU-level coding parameters to achieve their imposed targets with minimal distortion. The experimental results reveal that the proposed algorithm can achieve the target bit rate and the decoding-complexity with 0.4% and 1.78% average errors, respectively, for multiple bit rate and decoding-complexity levels. The proposed algorithm also demonstrates a stable frame-wise rate and decoding-complexity control capability when achieving a decoding-complexity reduction of 10.11 (%/dB). The resultant decoding-complexity reduction translates into an overall energy-consumption reduction of up to 10.52 (%/dB) for a 1 dB peak signal-to-noise ratio (PSNR) quality loss compared to the HM 16.0 encoded bit streams.

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“…Siekkinen et al 21 investigated the tradeoff in energy waste between prefetching small and large chunks of video content, and proposed an algorithm called eSchedule that used viewing statistics to predict viewer behavior and designed an energy optimal download strategy. In order to minimize the energy consumption of mobile devices and the load on cellular networks, Almowuena et al 13 proposed a strategy to concurrently utilize unicast and multicast for streaming video. Atawia et al 22 addressed the problem of predictive resource allocation for energy-efficient video streaming.…”

Section: Related Workmentioning

confidence: 99%

Optimal transmission for scalable video coded streaming in cellular wireless networks with the cooperation of local peer-to-peer network

Feng

Lin

Zhao

et al. 2017

International Journal of Distributed Sensor Networks

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We study the problem of transmitting scalable video coded streams in a hybrid scenario including a global cellular network and a local peer-to-peer network. Given desirable channel condition in cellular downlink, some cellular user equipments can fetch the video chunks via the cellular base station directly, and also provide relay service via the local peer-to-peer network for other user equipments unable to meet their basic video quality. To take the advantage of channel diversity gains, the method of random linear coding is adopted to generate linear combinations of the video chunks for transmission in both the cellular and peer-to-peer networks. To optimize the cellular and peer-to-peer transmission arrangement, we first formulate it as a mixed integer nonlinear programming problem, which becomes more complicated when the number of user equipments increases. Then, we convert it to a quasi-convex optimization problem by approximating the indicator function with a continuous step function, and it can be solved by a centralized approach. Furthermore, a primal-dual decomposition approach is developed and a distributed algorithm is proposed accordingly. Simulation results show that the proposed approach achieves a near-optimal solution.

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Energy-Aware and Bandwidth-Efficient Hybrid Video Streaming Over Mobile Networks

Cited by 36 publications

References 45 publications

Fast Channel Navigation of Internet Protocol Television Using Adaptive Hybrid Delivery Method

Fast Channel Navigation of Internet Protocol Television Using Adaptive Hybrid Delivery Method

A Decoding-Complexity and Rate-Controlled Video-Coding Algorithm for HEVC

Optimal transmission for scalable video coded streaming in cellular wireless networks with the cooperation of local peer-to-peer network

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