Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks

Yaacoub, Elias; Dawy, Zaher; Sharafeddine, Sanaa; Abu-Dayya, Adnan

doi:10.1016/j.image.2013.05.007

Cited by 9 publications

(7 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors in this line of work studied the group or coalition formulation problem where several groups can be formulated, and each group can select one user as the head for receiving data from BS [19] [20]. The authors of [20] also proposed scheduling algorithm for the LR to select proper resource to carry out the downlink transmission. It is worth noticing that the considered system model can be applied to the vehicular networks as well for data download, storage and sharing as well.…”

Section: Contributionsmentioning

confidence: 99%

See 1 more Smart Citation

Energy-Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds With Hybrid Receivers

Chang

Gong

Ristaniemi

et al. 2016

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Abstract-In this paper, we study the resource allocation and user scheduling algorithm for minimizing the energy cost of data transmission in the context of OFDMA collaborative mobile cloud (CMC) with simultaneous wireless information and power transfer (SWIPT) receivers. The CMC, which consists of several collaborating mobile terminals (MTs) offers one potential solution for downlink content distribution and for the energy consumption reduction. Previous work on the design of CMC system mainly focused on the cloud formulation or EE investigation, while how to allocate the radio resource and schedule user transmission lacks attention. With the objective to minimize the system energy consumption, an optimization problem which jointly considers subchannel assignment, power allocation and user scheduling has been presented. We propose different algorithms to address the formulated problem based on the convex optimization technique. Simulation results demonstrate that the proposed user scheduling and resource allocation algorithms can achieve significant EE performance.

show abstract

Section: Contributionsmentioning

confidence: 99%

“…To prove the sufficient condition, let P 0 be a solution of (20), then we have U 1 (P )−q 0 R 1 (P ) ≥ U 1 (P 0 )−q 0 R L 1 (P 0 ) = 0, ∀P ∈ P. (45)…”

Section: Proof Of Theoremmentioning

confidence: 99%

Energy-Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds With Hybrid Receivers

Chang

Gong

Ristaniemi

et al. 2016

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

show abstract

“…To deal with this problem, we use the penalty function approach [21] to convert (12) and (13) to an unconstrained optimization problem. To do so, all the constraints in (13) are rewritten in sequence as shown below { 6rj=B;+1-Bj�o,l=1,2,,,.,M-l…”

Section: B Gas Solution and Implementationmentioning

confidence: 99%

“…These aspects must be considered in close connection to achieve high performance in terms of high QoE and resource savings for networks and mobile devices. Although there have been some attempts to study D2D video communications [13]- [15], these works lack insightful techniques required for video AS to serve the MUs high QoE with low resource consumption.…”

Section: Introductionmentioning

confidence: 99%

Energy-aware rate and description allocation optimized video streaming for mobile D2D communications

Duong

Nguyen

et al. 2015

2015 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

The proliferation problem of video streaming ap plications and mobile devices has prompted wireless network operators to put more efforts into improving quality of experience (QoE) while saving resources that are needed for high transmis sion rate and large size of video streaming. To deal with this prob lem, we propose an energy-aware rate and description allocation optimization method for video streaming in cellular network assisted device-to-device (D2D) communications. In particular, we allocate the optimal bit rate to each layer of video segments and packetize the segments into multiple descriptions with embedded forward error correction (FEC) for realtime streaming without retransmission. Simultaneously, the optimal number of descriptions is allocated to each D2D helper for transmission. The two allocation processes are done according to the access rate of segments , channel state information (CSI) of D2D requester, and remaining energy of helpers, to gain the highest optimization performance. Simulation results demonstrate that our proposed method (named OPT) significantly enhances the performance of video streaming in terms of high QoE and energy saving.

show abstract

“…Data sharing over device-to-device (D2D) links has been shown to provide a multitude of performance gains in terms of throughput and spectral efficiency enhancement [4][5][6], energy consumption reduction [7][8][9][10], and end user cost savings and incentives [11][12][13]. However, reliable and efficient D2D data sharing in practice hinges on several factors that include content availability, users' proximity and ability to connect to each other, users' mobility patterns, and contact intervals [14], in addition to other aspects such as cooperation incentives and trust establishment [15,16].…”

Section: Introductionmentioning

confidence: 99%

Social‐Aware Device‐to‐Device Offloading Based on Experimental Mobility and Content Similarity Models

Aoude

Dawy

Sharafeddine

et al. 2018

Wireless Communications and Mobile Computing

Self Cite

View full text Add to dashboard Cite

Device-to-device (D2D) offloading has been shown to be a highly effective technique to enhance the performance of wireless networks. Yet, for any two mobile users to share data efficiently and reliably via D2D links, they should be in close proximity for long enough period of time, share similar content interests, and have some level of incentive and trust to cooperate. In this work, we focus on the practical implementation aspects of D2D data sharing taking into account realistic operational conditions. To this end, we design and conduct an experimental study to collect location and neighbor discovery data from 38 mobile users in a university campus over several weeks using our own customized crowdsourcing Android mobile application. The collected data is then processed and utilized to empirically model mobility-related parameters that include contact frequency, contact duration, and intercontact duration. The participating users did also fill a user interest survey in order to correlate mobility and connectivity patterns with content interests and social network relations. The obtained insights are then used to develop a practical implementation framework for designing effective D2D data sharing strategies. To test the proposed ideas under realistic operational constraints, we design and implement a social-aware D2D data sharing Android mobile application and demonstrate its functionality and effectiveness using an example case study scenario.

show abstract

Joint energy-distortion aware algorithms for cooperative video streaming over LTE networks

Cited by 9 publications

References 22 publications

Energy-Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds With Hybrid Receivers

Energy-Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds With Hybrid Receivers

Energy-aware rate and description allocation optimized video streaming for mobile D2D communications

Social‐Aware Device‐to‐Device Offloading Based on Experimental Mobility and Content Similarity Models

Contact Info

Product

Resources

About