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提升通信系统能效必须以满足各类业务的服务质量为前提,因此研究能效与服务质量的关系是优化高能效无线网络的一个基本问题.本文对过去5年来我们在超蜂窝网络架构下对能效与服务质量需求的基本关系及其在弹性接入机制优化方面的应用进行了总结.由于延时界是服务质量的一个代表指标,首先介绍在能效与延时界需求关系方面的研究进展.研究发现,如果基站的总功耗(包括发射功率和电路功耗)随着平均数据率线性增加,那么能效–延时关系存在非折中区域.而后,概括如何针对不同类型的业务进行高能效资源分配,包括传统实时和非实时业务,以及超可靠低延时业务.对于实时业务,要达到最优的能效延时关系,系统需要根据队列长度调整资源配置.对于延时容忍性较强的非实时业务,利用预测信息进行资源规划和提前推送成为可能.结果表明,利用移动用户的轨迹以及用户对内容的偏好都能大大提升系统能效.对于服务质量需求极高的超可靠低时延业务,初步探讨了在保证其服务质量的前提下使系统能效最大所需要的系统资源.
Therefore, to study the relationship between energy efficiency and service quality is one of the basic problems in optimizing energy-efficient wireless networks.In this paper, we analyze the relationship between energy efficiency and energy efficiency in the past 5 years under the framework of the ultra-cellular network, Service quality requirements and its application in the optimization of flexible access mechanism are summarized.As the delay time is a representative index of service quality, firstly, the research progress in the demand relationship between energy efficiency and delay time is introduced. , If the base station’s total power consumption (including transmission power and circuit power consumption) increases linearly with the average data rate, there is a non-compromise area between the energy efficiency and the delay relationship, and then it summarizes how to allocate energy-efficient resources for different types of services , Including traditional real-time and non-real-time services, as well as ultra-reliable and low-latency services.For real-time services, to achieve the optimal energy-efficiency delay relationship, the system needs to adjust the resource configuration according to the queue length.For non-real-time Business, the use of forecasting information for resource planning and early push possible. The results show that the use of mobile users And track user preferences for content can greatly enhance system efficiency for a high quality of service demands ultra-reliable low-latency services, the system was discussed in ensuring the quality of its services under the premise maximum energy efficiency required system resources.