With the rapid evolution of Internet of things(IoT),many edge devices require simultaneous connection in 5G communication era.To afford massive data of IoT devices,multiple input multiple output non-orthogonal multiple access(MIMO-NOMA)method has been considered as a promising technology.However,there are numerous drawbacks due to error propagation and inter-user interferences.Therefore,proposed scheme aims to improve the reliability of the MIMO-NOMA system with digital beamforming and intracluster cooperative multi point(CoMP)to efficiently support IoT system.In the conventional MIMO-NOMA system,user entities are grouped into clusters.Block diagonalization(BD)is applied to efficiently eliminate the inter-cluster interference of the MIMO-NOMA system.However,since the channel path of the data stream from a single antenna to a single cluster doesn’t hold other cluster’s data,the system can’t fully utilize the selective subcarrier channel states.It indicates that there can be better channel paths for a data stream at a certain subcarrier index.Therefore,proposed scheme allocates data streams to antennas adaptively considering selective channel states.Additionally,intra-cluster CoMP method is adjusted to enhance the reliability of the system in the clusters.The simulation results show that the proposed scheme improves BER and throughput performance compared to the conventional MIMO-NOMA system.
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机译:LTE通讯系统中针对同层干扰环境对微小型基地台功率控制与用户位置推荐演算法 =Femtocell Power Control and User Location Recommendation Algorithm for Co-Tier Interference Environment in LTE Communication System
机译:La modelisation de la propagation et aides a la Decision pour les systemes deTelecommunications,de Radar et de Navigation(propagation modeling and Decision aids for Communications,Radar and Navigation systems)