An energy efficient multicast transmission scheme with patching stream exploiting user behavior in wireless networks

Abstract

The widespread requirement of multimedia application, especially Video-on-Demand (VoD), has lead to rapidly rising energy consumption. User behavior brings a great effect on the energy consumption of traffic transmissions. In wireless networks user behavior in terms of user request frequency follows power-law distribution, which indicates that some media streams are requested more frequently than the others. Therefore, exploiting multicast transmission technique for multimedia can significantly reduce the transmission power consumption. However, due to user requests occurs at different moment, in multicast transmission a subsequent user will miss the pervious part of the media stream that has been already transmitted for the early-arriving user. In order to guarantee the quality of service (QoS), the transmitter can deliver the missing fraction of the media stream through initiating separate patching stream. In this paper, we propose an energy efficient multicast scheme with patching stream which enable the transmitter to deliver both patching stream through unicast transmission and shared stream through multicast transmission with dynamic bandwidth allocation. Closed-form formula for power consumption of this scheme is established, in which the impact of the time window length, the user requests distribution are considered. We also derive a tight upper bound on the minimum power consumption under the optimal time window length. Compared to the traditional unicast transmission power consumption which grows like O e λ , power consumption in the proposed scheme grows like O e √ λ , where λ represents the user request rate. Simulation results validate the theoretical analysis and demonstrate that our scheme can lead to 73% and 20% power deduction compared with the traditional unicast transmission scheme and traditional patching multicast transmission scheme.

Design and Optimization of VoD Schemes With Client Caching in Wireless Multicast Networks

“…which requires maximizing M i=1 λ i l i / f B , reducing to a fractional knapsack problem. Similar to problem (12), the optimal solution is Popular-Cache. • Interval access pattern with random endpoints: The av-…”

“…In batching, requests for the same video are delayed for a certain time so that more requests can be served concurrently within one multicast stream [11]. In patching, a client joins a desired ongoing multicast stream, and a unicast/multicast stream is established to patch the missing part [12]. In merging, a client could join several ongoing multicast streams and the patching streams of different clients are merged into one multicast stream [13].…”

Energy-efficient multimedia transmissions through base station cooperation over heterogeneous cellular networks exploiting user behavior

“…However, from a macrocell (with many hotspots) point of view, the number of aggregated users may be large enough for a multicast transmission mode. Therefore, through exploiting such user behavior [7], proper control of a multicast scheme for such multimedia transmission can significantly reduce power consumption for multimedia delivery in wireless networks [8]. However, since user requests occur at different moments, in traditional multicast transmission a subsequent user will miss the previous part of the media stream that has already been transmitted for an early arriving user.…”