Joint Sleep and Rate Scheduling With Booting Costs for Energy Harvesting Communication Systems

作者：Dai, Guangli; Wu, Weiwei^*; Liu, Kai^*; Shan, Feng; Wang, Jianping; Xu, Xueyong; Luo, Junzhou

来源：IEEE Transactions on Mobile Computing, 2023, 22(6): 3391-3406.

DOI：10.1109/TMC.2021.3135865

• Mobile computing
• Energy harvesting
• energy efficiency
• wireless networks
• optimal scheduling

In energy harvesting communication systems, it is possible for a transmitter to schedule the transmission by jointly scaling the rate and turning the transmitter ON/OFF adaptively. Such a joint rate and sleep schedule can greatly increase the throughput achieved by the transmitter with battery constraints. However, most existing works on joint rate and sleep scheduling assume the transition between different states does not have any cost, i.e., energy or time consumption. This is not realistic while the energy and time needed for booting a transmitter, i.e., turning a transmitter from OFF to ON, are not small enough to be ignored in most cases. In this paper, we investigate the joint rate and sleep scheduling on system throughput with more general booting consumption considered in energy harvesting communication systems. We first identify the structural properties of the optimal solution for the model with booting consumption considered. Inspired by these observations, we develop an optimal offline algorithm and an online heuristic algorithm to solve the problem. Experimental results from simulations and real tests show that the proposed algorithms can achieve much higher throughput on average in a realistic energy harvesting communication system, compared to those algorithms that only consider rate scheduling or ignore the booting consumption.

• 单位
  重庆大学