TOWARD GREEN MEDIA DELIVERY: LOCATION-AWARE OPPORTUNITIES AND APPROACHES

被引:28
作者
Abou-Zeid, Hatem [1 ,2 ]
Hassanein, Hossam S. [3 ]
机构
[1] Queens Univ, Elect & Comp Engn Dept, Kingston, ON K7L 3N6, Canada
[2] Queens Univ, Kingston, ON K7L 3N6, Canada
[3] Queens Univ, Telecommun Res Lab, Sch Comp, Kingston, ON K7L 3N6, Canada
关键词
24;
D O I
10.1109/MWC.2014.6882294
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Mobile media has undoubtedly become the predominant source of traffic in wireless networks. The result is not only congestion and poor quality of experience, but also an unprecedented energy drain at both the network and user devices. In order to sustain this continued growth, novel disruptive paradigms of media delivery are urgently needed. We envision that two key contemporary advancements can be leveraged to develop greener media delivery platforms: The proliferation of navigation hardware and software in mobile devices has created an era of location awareness, where both the current and future user locations can be predicted; and the rise of context-aware network architectures and self-organizing functionalities is enabling context signaling and in-network adaptation. With these developments in mind, this article investigates the opportunities of exploiting location awareness to enable green end-to-end media delivery. In particular, we discuss and propose approaches for location-based adaptive video quality planning, in-network caching, content prefetching, and long-term radio resource management. To provide insights on the energy savings, we then present a cross-layer framework that jointly optimizes resource allocation and multi-user video quality using location predictions. Finally, we highlight some of the future research directions for location-aware media delivery in the conclusion.
引用
收藏
页码:38 / 46
页数:9
相关论文
共 24 条
[1]  
Abou-zeid H., 2014, Proc. IEEE Consumer Commun. and Netw. Conf. CCNC, P768
[2]   Energy-Efficient Adaptive Video Transmission: Exploiting Rate Predictions in Wireless Networks [J].
Abou-zeid, Hatem ;
Hassanein, Hossam S. ;
Valentin, Stefan .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2014, 63 (05) :2013-2026
[3]   PREDICTIVE GREEN WIRELESS ACCESS: EXPLOITING MOBILITY AND APPLICATION INFORMATION [J].
Abou-Zeid, Hatem ;
Hassanein, Hossam S. .
IEEE WIRELESS COMMUNICATIONS, 2013, 20 (05) :92-99
[4]  
Ahlehagh H., 2012, IEEE International Conference on Communications (ICC 2012), P7082, DOI 10.1109/ICC.2012.6364966
[5]  
[Anonymous], 2012, patent app, Patent No. [WO 2012145845 A1, 2012145845]
[6]  
[Anonymous], 2008, Proc. ACM WiNTECH
[7]  
De Vleeschauwer D, 2013, IEEE INFOCOM SER, P989
[8]  
Desset C., 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC), P2858, DOI 10.1109/WCNC.2012.6214289
[9]  
Froehlich J., 2008, Society of Automotive Engineers (SAE), V2193, P53
[10]  
Gautam N., 2013, PROC ACM WORKSHOP MO, P7