Joint Latency and Energy Optimization with Adaptive Cooperative Transmission for UE Aggregation Assisted Communication

With the continuous improvement of the industry, the accompanying demand is also increasing, such as ultra-low latency data transmission or ultra-high reliability. Such scenarios are ubiquitous, ranging from the industrial Internet of Things (IIoT), unmanned aerial vehicles (UAV), smart cities and so on. For these requirements, user equipment (UE) aggregation is a good technology candidate to reduce latency, enhance transmission reliability and improve data rate, through data duplication or data partition via aggregation nodes (ANs), which can be normal UEs. The motivation of such technology is device density increases and UE capability varies. Accordingly, ANs can be relay nodes or data processing devices for UEs with a weak channel quality or limited processing capability. This paper proposes an aggregation node optimization clustering (ANOC) algorithm with the aim of reducing transmission latency and energy consumption. In the meantime, the reliability of data transmission for UE outside the coverage can be improved. The main idea of the proposed algorithm is to cluster the UEs that need to be assisted and allocate appropriate ANs. Besides, according to the presented simulation results, the research work in this paper can provide an insight into the cooperation system for future Internet of Everything (IoE) networks.