Distributed Resource Allocation Using One-Way Communication with Applications to Power Networks
School of Engineering and Applied Sciences, Harvard University（哈佛大学生物工程与应用科学学院）；Electrical Engineering School, Access Linnaeus Center, KTH Royal Institute of Technology（瑞典皇家理工学院电气工程学院，Access林奈中心）
Sindri Magnusson, Chinwendu Enyioha, Kathryn Heal, Na Li, Carlo Fischione, Vahid Tarokh
Typical coordination schemes for future power grids require two-way communications. Since the number of end power-consuming devices is large, the bandwidth requirements for such two-way communication schemes may be prohibitive. Motivated by this observation, we study distributed coordination schemes that require only one-way limited communications. In particular, we investigate how dual descent distributed optimization algorithm can be employed in power networks using one-way communication. In this iterative algorithm, system coordinators broadcast coordinating (or pricing) signals to the users/devices who update power consumption based on the received signal. Then system coordinators update the coordinating signals based on the physical measurement of the aggregate power usage. We provide conditions to guarantee the feasibility of the aggregated power usage at each iteration so as to avoid blackout. Furthermore, we prove the convergence of algorithms under these conditions, and establish its rate of convergence. We illustrate the performance of our algorithms using numerical simulations. These results show that one-way limited communication may be viable for coordinating/operating the future smart grids.
Uncertain Multi-Agent Systems with Distributed Constrained Optimization Missions and Event-Triggered Communications: Application to Resource Allocation
Performance Analysis and Power Allocation of Joint Communication and Sensing Towards Future Communication Networks
针对大规模设备接入导致的雷达和通信频率重叠问题，提出了一种新的联合通信与感知（Joint Communication and Sensing，JCS）系统，利用微基站（MicroBase Station，MiBS）同时实现目标感知和协作通信。具体地，作为感测设备的MiBS还可以用作全双工（FD）解码转发（DF）中继以辅助端到端通信。为了进一步提高频谱利用率，采用非正交多址接入（NOMA），使得宏基站（MaBS）与物联网（IoT）设备之间的通信。为了便于性能评估，系统的精确和渐近中断概率，遍历率，感知概率的特点。随后，设计了两个最优功率分配（OPA）问题：最大化感知信号的接收信干噪比和最大化通信总速率，并利用拉格朗日方法和函数单调性进行求解。仿真结果表明：1）JCS NOMA系统在与非协作NOMA系统功耗相同的前提下，能够同时实现通信增强和感知功能; 2）所提出的OPA方案优于随机功率分配方案。
