ID	原文	译文
57488	: 移动边缘计算( MEC) 系统中密集的计算任务卸载使得资源受限的终端设备能量效率低，能量服务单一，对此，提出了一种基于能量收集的系统能效优化方案.	Aiming at low energy efficiency and single energy service of resource-constrained terminal de- vices caused by intensive computing tasks offloading in mobile edge computing ( MEC) ，a system energy efficiency optimization scheme based on energy harvesting is proposed.
57489	该方案首先在满足卸载发送功率限制等约束条件下，分析了能量收集状态及用户功率分配，建立了最大化系统能效的联合优化模型;	Firstly，the energy harvesting sta- tus and power allocation of users are analyzed under the constraints of offloading transmission power and so on，and a joint optimization model is established to maximize system energy efficiency.
57490	其次，利用广义分数规划理论将卸载能效转化为标准凸优化问题，并通过构建拉格朗日函数对目标函数进行迭代优化，获得最优的能量指示变量和功率分配.	Secondly，the offloading energy efficiency is transformed into standard convex optimization by the generalized fractional programming theory，and the objective function is iteratively optimized by setting the Lagrange function to obtain the optimal energy indicator variable and power allocation.
57491	仿真结果表明，所提方案可以有效提升 MEC 系统中的用户能量效率，同时保证了用户服务质量，实现了绿色通信.	Simulations show that the proposed scheme can effectively improve the energy efficiency of users in MEC system，and guarantee the quality of service ( QoS) of users，achieve the green communication simultaneously.
57492	Massive-MIMO 多用户系统中，现有能效( EE) 和频效( SE) 性能折中方法在单个目标优化时无法适应变化场景，进而无法对优化目标进行有效追踪.	In massive-multiple input multiple output ( massive-MIMO) multi-user system，the existingenergy efficiency ( EE) and spectral efficiency ( SE) trade-off performance methods cannot adapt to thechanging scenarios for single objective optimization，and thus cannot effectively track the optimization ob?jectives.
57493	对此，提出了一种能够适应变化场景需求的能效和频效性能折中方法.	To solve this problem，a trade-off method of energy efficiency and spectral efficiency is pro?posed，which can adapt to the changing scenarios.
57494	通过构建折中优化函数，将非凸的多目标优化问题转化为单目标凸优化问题，并利用拉格朗日乘子法进行求解.	By constructing a trade-off optimization function be?tween them，the non-convex multi-objective optimization problem is transformed into a single-objectiveconvex optimization problem，and solved by Lagrange multiplier method.
57495	理论分析和仿真结果表明，提出的性能折中方法能够在系统电路功耗的限制下，通过设定折中因子改变系统能效值或频效值，并同时获取能效和频效的最佳性能折中.	The theoretical analysis andsimulation results show that the proposed trade-off method can change the system energy efficiency orspectral efficiency by setting a trade-off factor under the power consumption limitation of the system cir?cuit，and simultaneously obtain the optimal performance trade-off of energy efficiency and spectral effi?ciency.
57496	由于无线信道存在衰落，射频能量收集( EH) 器可将收集到的电磁波能量转化为用于无线通信的电源，其功率具有动态随机特性.	Due to the fading of the channel，the energy harvester converts the harvested electromagneticwave energy into a power source for transmitting wireless signals again，and its power has random dynamiccharacteristics.
57497	为此，研究了 Nakagami-m 信道衰落下的多时隙“收集－存储－使用”能量收集方案的有效吞吐量以及“收集－使用”能量收集方案的二进制相干和非相干解调平均误比特率性能指标，推导出了精确的理论闭合公式.	Aiming at the wireless communication environment with Nakagami-m channel fading，line?ar radio frequency energy harvesters combining with multi-slot “harvest-storage-use”and “harvest-use”schemes to realize energy harvesting ( EH) are proposed. The effective throughput of the “harvest-stor?age-use”EH scheme and the average bit error rate of binary digital coherent and incoherent demodulationof the“harvest-use”EH scheme are studied and analyzed.