2020/11/09 by Emmanouil Fountoulakis, Νικόλαος Παππάς, Fountoulakis, Emmanouil +3
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Network Optimization #FOS: Computer and information sciences #Information Theory (cs.IT) #Network Time Synchronization Technologies #Networking and Internet Architecture (cs.NI) #Wireless Body Area Networks
paper · pdf · doi:10.48550/arxiv.2011.04448
openalex publication_date 2020/11/09 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
Future wireless networks will be characterized by heterogeneous traffic\nrequirements. Such requirements can be low-latency or minimum-throughput.\nTherefore, the network has to adjust to different needs. Usually, users with\nlow-latency requirements have to deliver their demand within a specific time\nframe, i.e., before a deadline, and they co-exist with throughput oriented\nusers. In addition, the users are mobile and they share the same wireless\nchannel. Therefore, they have to adjust their power transmission to achieve\nreliable communication. However, due to the limited power budget of wireless\nmobile devices, a power-efficient scheduling scheme is required by the network.\nIn this work, we cast a stochastic network optimization problem for minimizing\nthe packet drop rate while guaranteeing a minimum throughput and taking into\naccount the limited-power capabilities of the users. We apply tools from\nLyapunov optimization theory in order to provide an algorithm, named Dynamic\nPower Control (DPC) algorithm, that solves the formulated problem in realtime.\nIt is proved that the DPC algorithm gives a solution arbitrarily close to the\noptimal one. Simulation results show that our algorithm outperforms the\nbaseline Largest-Debt-First (LDF) algorithm for short deadlines and multiple\nusers.\n