Abstract
We consider the energy minimization problem for a two-cell broadcasting system, where the focus is devising energy efficient joint power control and scheduling algorithms. To improve the retransmission efficiency, linear network coding is applied to broadcast packets. Combined with network coding, an optimal algorithm is proposed, which is based on dynamic programming. To reduce computational complexity, two sub-optimal algorithms are also proposed for large networks. Simulation results show that the proposed schemes can reduce energy consumption up to 57% compared with the traditional Automatic Repeat-reQuest (ARQ).
Highlights
Energy efficiency is an important concern in wireless systems, both for environmental and economical reasons
Simulation results show that the proposed schemes can reduce energy consumption up to 57% compared with the traditional Automatic Repeat-reQuest (ARQ)
We first propose an optimal algorithm called Dynamic Programming (DP), in the sense of minimizing expected energy consumption, which uses dynamic programming to choose the optimal action for each state
Summary
Energy efficiency is an important concern in wireless systems, both for environmental and economical reasons. The information and communication technology (ICT) infrastructure consumes about 3% of the world-wide energy and the CO2 emissions are as many as one quarter of the CO2 emissions by cars [1]. The CO2 emissions from ICT are still increasing at a rate of 6% per year [2]. The energy bill accounts for a large proportion in the costs of running a network. The operating costs can be significantly reduced by reducing energy consumption [3]. Energy efficiency is an increasingly important issue. We focus on transmit energy minimization for a wireless broadcasting system consisting of two cells
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