Optimized energy-aware multicasting over wireless cellular networks with multihop cooperation

Abstract

Multicasting provides a scalable solution to deliver a common content to a set of requesting mobile terminals in wireless broadband networks. However, the multicasting rate is limited by the worst channel conditions of the mobile terminals which increases the content download time, and consequently, increases the energy consumed from the mobile terminals' batteries. In this paper, we address the problem of cooperative multicasting where a base station multicasts the content over a cellular network to an optimally selected set of mobile terminals, that in turn multicast the content over multihop connections to other mobile terminals in their vicinity which leads to the formation of cooperative groups. We formulate the joint problem of content distribution, group formation, and interference avoidance as a linear mixed binary optimization problem with the objective of minimizing the total energy consumed by the mobile terminals. Moreover, we propose a simplified multicasting formulation with a close to optimal performance but with a lower computational complexity. Results demonstrate remarkable energy consumption reduction gains in various network scenarios.

Exact and Heuristic Solutions for Energy-Aware Multihop Cooperation over Wireless Networks

“…Note that all MTs receiving from the BS, consume the same amount of energy per bit since they receive with the same multicasting bit rate. This constraint is the same as T k ≥ y k · q, but in order to linearize it, we write it as shown in (23). If a MT receives on LR, i.e., when y k = 1 then T k = q.…”

“…All presented formulations are generic and can be applied to a wide range of network scenarios with different geographical topologies, channel models, and wireless technologies. A preliminary version of this work is presented in [6], [23]. In [6], we only assume unicasting communication on LR and single hop cooperation on SR, thus the gains, challenges and complexity of multihop cooperation and multicasting communication on LR have not been addressed.…”

“…In [6], we only assume unicasting communication on LR and single hop cooperation on SR, thus the gains, challenges and complexity of multihop cooperation and multicasting communication on LR have not been addressed. In [23], we present a preliminary model for the multicasting/multicasting communication case without discussing its complexity. Moreover, in this work, a more comprehensive and realistic energy consumption model is considered, in which the energy consumed per second is a function of the transmission bit rate; this required further adaptations on the problem formulation presented in [23].…”

“…In [23], we present a preliminary model for the multicasting/multicasting communication case without discussing its complexity. Moreover, in this work, a more comprehensive and realistic energy consumption model is considered, in which the energy consumed per second is a function of the transmission bit rate; this required further adaptations on the problem formulation presented in [23]. The other three communication schemes were neither presented nor analyzed and compared among each other in terms of complexity and performance.…”

Energy measurements for mobile cooperative video streaming

“…COMBINE [7] uses an opportunistic algorithm for collaborative group selection in order to increase system throughput. The authors in [8], [9] present optimized and heuristic strategies for common content distribution with cooperation among mobile devices. These publications rely on either analytical derivations or simulation studies to do performance analysis.…”