DocumentCode :
74921
Title :
Offloading Mobile Traffic via Green Content Broker
Author :
Tao Han ; Ansari, Nayeem
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Volume :
1
Issue :
2
fYear :
2014
fDate :
Apr-14
Firstpage :
161
Lastpage :
170
Abstract :
A continuous surge of mobile data traffic not only congests mobile networks but also results in a dramatic increase in the energy consumption of mobile networks. Device-to-device (D2D) communications is a promising technique for offloading mobile data traffic and enhancing energy efficiency of mobile networks. By enabling D2D communications, the base stations (BSs) may reduce their energy consumption through traffic offloading, and mobile users may increase their quality of services by retrieving contents from their neighboring peers instead of the remote BSs. By leveraging D2D communications, we propose a novel mobile traffic offloading scheme-the content brokerage. In the content brokerage scheme, a new network node called the green content broker (GCB) is introduced to arrange the content delivery between the content requester and the content owner. The GCB is powered by green energy, e.g., solar energy, to reduce the CO2 footprints of mobile networks. In the scheme, maximizing traffic offloading with the constraints of the amount of green energy and bandwidth is an nondeterministic polynomial time (NP) problem. We propose a heuristic traffic offloading (HTO) algorithm to approximate the optimal solution with low computational complexity. Our simulation results valid the performance of the content brokerage scheme and the HTO algorithm.
Keywords :
computational complexity; mobile radio; quality of service; telecommunication traffic; BS; D2D communications; GCB; HTO algorithm; NP problem; QoS; base stations; content delivery; content owner; content requester; device-to-device communications; energy efficiency enhancement; green content broker; heuristic traffic offloading algorithm; low computational complexity; mobile networks; mobile users; nondeterministic polynomial time problem; offloading mobile data traffic; quality of services; Air pollution; Downlink; Energy consumption; Green products; Mobile communication; Mobile computing; Uplink; Device-to-device (D2D) communications; energy efficiency; mobile networks; mobile traffic offloading;
fLanguage :
English
Journal_Title :
Internet of Things Journal, IEEE
Publisher :
ieee
ISSN :
2327-4662
Type :
jour
DOI :
10.1109/JIOT.2014.2316805
Filename :
6786990
Link To Document :
بازگشت