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Stability-constrained optimization for energy efficiency in polling-based wireless networks

机译:基于投票的无线网络中的能效的稳定性约束优化

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A wireless device's energy can be saved by putting it into the sleeping mode (power saving mode, PSM) or decreasing its transmission power (transmission power control, TPC) which prolongs the packet transmission time. However, decreasing one's transmission power would prevent others from transmitting their packets. Clearly, there are complex interactions when each tries to optimize its own energy efficiency. Therefore, in this paper we are considering the problem of optimizing the energy efficiency for all wireless devices in the network with the constraint that they are all stable. In particular, we consider the polling-based MAC protocols with phase grouping and mobile grouping schedules, and we employ both the PSM and TPC to save the energy. We have formulated stability-constrained optimization problems for them, and have proposed an iterative algorithm to compute the optimal power allocations for the wireless devices. We have conducted a lot of experiments to validate the accuracy of the algorithm and to evaluate the gains in the energy efficiency for the two schedules. The mobile grouping schedule is found to be much more energy efficient than the PG schedule, especially when the downlink traffic is higher than the uplink traffic. We have also studied the impact of the optimized schedules on the delay performance.
机译:可以通过将无线设备的能量放入睡眠模式(省电模式,PSM)或减少其传输功率(传输功率控制,TPC)来保存,该传输功率(传输功率控制,TPC)延长了分组传输时间。然而,降低一个人的传输功率将阻止他人传输其分组。显然,当每次尝试如何优化其自身的能效时,存在复杂的相互作用。因此,在本文中,我们正在考虑利用网络中的所有在网络中的无线设备中优化能量效率的问题,这是它们都稳定的约束。特别是,我们考虑具有相位分组和移动分组计划的基于轮询的MAC协议,我们使用PSM和TPC来节省能量。我们为它们制定了稳定受限的优化问题,并提出了一种迭代算法来计算无线设备的最佳功率分配。我们已经进行了大量实验以验证算法的准确性,并评估两个时间表的能量效率的增益。发现移动分组计划比PG时间表更能节能,尤其是当下行链路流量高于上行链路流量时。我们还研究了优化的时间表对延迟性能的影响。

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