基于服务覆盖的无蜂窝边缘智能网络部署方法

摘要：为实现未来网络绿色低碳发展，以精准的按需服务提高网络运营和部署效率，将服务覆盖作为网络覆盖能力的新度量。深入挖掘无蜂窝网络部署灵活的优势，可以使每个覆盖单元达到最佳服务覆盖，从而实现系统性能的差异化优化。结合无蜂窝边缘智能网络的通信链路质量对移动边缘计算（MEC）服务器计算和下载的时延、卸载概率的影响，采用连续凸逼近算法，引入松弛变量和辅助变量将接入点（AP）和MEC联合部署混合整数非线性规划问题转化为连续的凸优化问题进行求解。仿真结果证明，基于服务覆盖的网络部署方法提升了现有网络能量效率，并显著减少用户的计算时延和系统的能耗。

关键词：无蜂窝大规模多输入多输出（MIMO）；服务覆盖；移动边缘计算

Abstract: To achieve the green and low-carbon development of the future network, a new metric of network coverage performance is redefined, e.g. service coverage, to improve the efficiency of network operation by providing accurate on-demand services. Dig deep into the advantages of flexible cell-less network deployment can optimize the system performance differentiation for each coverage unit, thus enabling overall optimization of system performance. The impact of the communication link quality is considered with the offloading delay and probability of the mobile edge computing (MEC) server. The continuous convex approximation algorithm to solve access point (AP) and MEC joint deployment is proposed, in which the slack variables and auxiliary variables are introduced to transform the mixed integer nonlinear programming problem into a continuous convex optimization problem. Simulation results show that the service coverage-based network deployment method could improve the energy efficiency of the existing network, and significantly reduce the computing delay of users and the energy consumption of the system.

Keywords: cell free massive multiple-input multiple-output (MIMO); service coverage; mobile edge computing