In ultra-dense RAN consisting of a large number of distributed antennas, the coverage and the capacity can be improved by forming a number of user clusters (also called virtual small cells) with each cluster consisting of neighbor users and by executing cluster-wise small-scale MIMO in parallel using the same radio resource. However, a straightforward clustering produces a severe inter-cluster interference (ICI) and the capacity improvement is much smaller than expected. In this paper, we propose a joint multilayered user clustering and scheduling. This approach is based on user clustering using the user location information, user-cluster layering based on the interference-offset-distance (IOD), antenna assignment on each layer, simple layer-by-layer round-robin-type scheduling and cluster-wise MIMO. We evaluate by computer simulation the user capacity, the sum capacity, and the fairness to show the effectiveness of the proposed joint multilayered user clustering and scheduling.
Joint Multilayered User Clustering and Scheduling for 5G Advanced Ultra-dense RAN
2020-11-01
1282953 byte
Conference paper
Electronic Resource
English