High Data-Rate Video Broadcasting Over 3G Wireless Systems

IEEE Trans. on Broadcast.

Trestian

et al. 2015

Abstract-This paper presents an innovative multi-faceted architecture, named eWU-TV, that provides an energy efficient, user-centric, adaptive digital television (DTV) broadcast over WiFi. To cater to the varied properties of the user equipments (UEs), the proposed framework broadcasts DTV content in the form of scalable video coded content that is adapted to suit the subscribers' requirements. The user-centricity is in terms of UE device display size, user preferences for video quality profile based on device energy saving, and UE transmission technology support (DVB-T/H or Wi-Fi). Mathematical models on device battery discharge, QoE, and user preference are devised that closely approximate the results of device battery discharge experiments on DTV reception by heterogeneous devices over Wi-Fi/DVB-T, subjective video quality assessment study, and statistical survey of user preference. The proposed eWU-TV performance optimization framework is based on the developed models. The framework ensures that the adaptive scalable broadcast reception via Wi-Fi serves more number of users with higher quality of user experience and with provisions for significant device energy saving.

Section: Related Workmentioning

confidence: 99%

eWU-TV: User-Centric Energy-Efficient Digital TV Broadcast Over Wi-Fi Networks

IEEE Trans. on Broadcast.

Trestian

et al. 2015

“…There have been a few recent studies that address receiver energy constraints [9], [10], display limitations and channel dynamics [11], [12], [13], [14], source and channel rate adaptation [15]. Yet to our best knowledge, a comprehensive look into the optimal broadcast strategy that jointly caters to both user-specific constraints and network dynamics is still missing.…”

Section: Motivation and Proposed Solutionmentioning

confidence: 99%

Joint Optimization of User-Experience and Energy-Efficiency in Wireless Multimedia Broadcast

IEEE Trans. on Mobile Comput.

Trestian

et al. 2014

This paper presents a novel cross-layer optimization framework to improve the quality of user experience (QoE) and energy efficiency of the heterogeneous wireless multimedia broadcast receivers. This joint optimization is achieved by grouping the users based on their device capabilities and estimated channel conditions experienced by them and broadcasting adaptive content to these groups. The adaptive multimedia content is obtained by using scalable video coding (SVC) with optimal source encoding parameters resulted from an innovative cooperative game. Energy saving at user terminals results from using a layer-aware time slicing approach in the transmission stage. A trade-off between energy saving and QoE is observed, and is incorporated in the definition of a utility function of the players in the formulated heterogeneous user composition and physical channel aware game. An adaptive modulation and coding scheme is also optimally incorporated in order to maximize the reception quality of the broadcast receivers, while maximizing the network broadcast capacity. Compared to the conventional broadcast schemes, the proposed framework shows an appreciable improvement in QoE levels for all users, while achieving higher energy-savings for the energy constrained users.

“…A SVC layer-based energy saving approach for DVB-H systems was proposed in [7], and time-slicing based energy consumption study were performed in [8], [9]. However the device heterogeneity or user-preference based on video quality profile to enhance the end-user experience and receivers' energy saving were not considered.…”

Section: A Motivationmentioning

confidence: 99%

ePAB: Energy-efficient, user-Preference based Adaptive multimedia Broadcast

2014 Twentieth National Conference on Communications (NCC)

2014

Multimedia broadcast content reception process is energy-intensive. Use of mobile receiver devices with limited battery for such applications calls for reduced energy consumption. This paper presents ePABan energy-efficient user-Preference based Adaptive multimedia Broadcast scheme, that optimally clubs the userpreferences for a particular video quality profile, user device types, and the usage scenarios, for adaptive scalable video encoding of the broadcast content. User-preferences are obtained a priori via a subjective test questionnaire, that reflects the acceptance of the users towards a slightly lower video quality (good instead of excellent, and fair instead of good/excellent quality) in order to extend the receiver battery life. By incorporating the preference information in the video encoding, the proposed scheme helps achieve a higher energy saving as compared to the quality maximizing scheme and an improved video reception quality as compared to the energy saving maximization scheme, while adhering to the user preference.