无线电工程

大规模多输入多输出(Multiple-Input Multiple-Output, MIMO)可以有效提升5G SA网络的上行链路数据传输速率以及可靠性。针对5G SA网络上行链路速率和覆盖不均衡的情况,提出了基于大规模MIMO的分组算法,将发送信号矢量进行分组,组内采用最大似然检测,组外采用基于正交三角分解(QR分解)的干扰消除检测,并且结合5G频谱的叠加策略,在降低算法复杂度的同时,有效提升网络覆盖和速率。通过5G SA现网实测,通过MIMO降低分组数量能够提升分组检测性能,结合上行低频段频谱叠加策略能够有效提升5G SA网络上行覆盖30%,提升5G SA网络上行平均速率40%～80%,特别是弱覆盖边缘的网络速率,最高可达600%。

Massive Multiple-Input Multiple-Output(MIMO) can greatly improve the uplink data transmission rate and data transmission reliability of 5 G SA networks.To solve the problem of the imbalance of uplink rate and coverage of 5 G SA networks, a grouping algorithm based on massive MIMO is proposed to group the transmitted signal vectors.Maximum likelihood detection is used in the group, and interference cancellation detection based on orthogonal triangular decomposition(QR decomposition) is used outside the group.Combined with the overlay strategy of 5 G spectrum, the algorithm can improve the network uplink coverage and rate while reducing the complexity.The results of an actual measurement of 5 G SA network show that by reducing the number of packets through MIMO,the packet detection performance can be improved.Combined with the uplink low-frequency spectrum overlay strategy, the uplink coverage of 5 G SA network can be increased by about 30%,and the average uplink rate 40%～80%.In particular, the network rate at the edge of weak coverage can be increased by up to 600% at most.