论文标题
移动边缘计算和无细胞的大型MIMO的有前途的婚姻
The Promising Marriage of Mobile Edge Computing and Cell-Free Massive MIMO
论文作者
论文摘要
本文考虑了具有移动边缘计算的大型MIMO无线网络。提出了针对上行链路幂和远程计算资源的联合分配的优化问题，旨在最大程度地减少延迟约束下的总上行链路功耗，同时同时使整个网络中的最小SE最大化。由于所考虑的问题是非凸，因此设计了基于顺序凸编程的迭代算法。提供了基于多细胞大规模MIMO部署的提议的分布式体系结构与其共同确定的对应物之间的详细性能比较。数值结果揭示了无细胞的大型MIMO在支持计算填充应用程序方面的自然适用性，并具有比用户传输功率和能源消耗的好处，经验丰富的卸载延迟以及分配的远程计算资源的总量。
This paper considers a mobile edge computing-enabled cell-free massive MIMO wireless network. An optimization problem for the joint allocation of uplink powers and remote computational resources is formulated, aimed at minimizing the total uplink power consumption under latency constraints, while simultaneously also maximizing the minimum SE throughout the network. Since the considered problem is non-convex, an iterative algorithm based on sequential convex programming is devised. A detailed performance comparison between the proposed distributed architecture and its co-located counterpart, based on a multi-cell massive MIMO deployment, is provided. Numerical results reveal the natural suitability of cell-free massive MIMO in supporting computation-offloading applications, with benefits over users' transmit power and energy consumption, the offloading latency experienced, and the total amount of allocated remote computational resources.
