School of Electrical and Electronic Engineering, University of Manchester, Manchester, U.K.;
School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, Australia;
Institute for Digital Communications, Friedrich-Alexander-University Erlangen-Nurnberg (FAU), Germany;
Department of Electrical Engineering, Princeton University, Princeton, NJ, USA;
NOMA; Delays; Signal processing algorithms; Iterative methods; Newton method;
机译:NOMA-MEC网络中延迟最小化的最佳资源分配
机译:NOMA-MEC网络中的联合计算卸载和数据内容缓存
机译:FRO:基于FOG资源的自适应任务卸载,用于延迟最小化IOT服务配置
机译:具有异步上传完成意识的NOMA-MEC的时延有效卸载
机译:决策建模框架可最大程度地减少地面延误计划中的到达延误。
机译:用杂交SIC卸载NOMA-MEC的DRL辅助资源分配
机译:NOMA-MEC网络中延迟最小化的最佳资源分配