论文标题
具有基于数据包的传输的淡入频道中的年龄能量折衷
Age-Energy Tradeoff in Fading Channels with Packet-Based Transmissions
论文作者
论文摘要
在本文中研究了最佳的传播策略，以最大程度地减少信息年龄（AOI）和总能耗的加权组合。假定在基于数据包的无线通信系统中，以固定速度以固定速率获得状态更新信息。每个数据包上的最大变速箱回合以确保更新数据包的某些可靠性。给定固定的平均传输功率，考虑到感应功耗也可以将年龄能量折衷方案作为约束马尔可夫决策过程（CMDP）问题提出。 CMDP问题采用拉格朗日放松，转化为马尔可夫决策过程（MDP）问题。提出了算法以获得最佳功率分配政策。通过模拟结果，与两个基准方案相比，提出的最佳策略可以提高年龄和能源效率。同样，以较高的能源成本为代价，可以有效地降低年龄，而更加强调能耗会导致在相同的能源效率下的平均年龄更高。总体而言，确定了平均年龄和能源效率之间的权衡。
The optimal transmission strategy to minimize the weighted combination of age of information (AoI) and total energy consumption is studied in this paper. It is assumed that the status update information is obtained and transmitted at fixed rate over a Rayleigh fading channel in a packet-based wireless communication system. A maximum transmission round on each packet is enforced to guarantee certain reliability of the update packets. Given fixed average transmission power, the age-energy tradeoff can be formulated as a constrained Markov decision process (CMDP) problem considering the sensing power consumption as well. Employing the Lagrangian relaxation, the CMDP problem is transformed into a Markov decision process (MDP) problem. An algorithm is proposed to obtain the optimal power allocation policy. Through simulation results, it is shown that both age and energy efficiency can be improved by the proposed optimal policy compared with two benchmark schemes. Also, age can be effectively reduced at the expense of higher energy cost, and more emphasis on energy consumption leads to higher average age at the same energy efficiency. Overall, the tradeoff between average age and energy efficiency is identified.
