2018/06/10 by Ali A. Esswie, Klaus I. Pedersen, Esswie, Ali A. +1
Engineering · #Advanced MIMO Systems Optimization #Advanced Wireless Communication Techniques #Advanced Wireless Network Optimization #FOS: Electrical engineering #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1806.04727
openalex publication_date 2018/06/10 · openalex created_date 2022/10/05 · openalex updated_date 2026/07/28
In this paper, we propose a null-space-based preemptive scheduling framework\nfor cross-objective optimization to always guarantee robust URLLC performance,\nwhile extracting the maximum possible eMBB capacity. The proposed scheduler\nperpetually grants incoming URLLC traffic a higher priority for instant\nscheduling. In case that radio resources are not immediately schedulable,\nproposed scheduler forcibly enforces an artificial spatial user separation, for\nthe URLLC traffic to get instantly scheduled over shared resources with ongoing\neMBB transmissions. A pre-defined reference spatial subspace is constructed for\nwhich scheduler instantly picks the active eMBB user whose precoder is the\nclosest possible. Then, it projects the eMBB precoder on-the-go onto the\nreference subspace, in order for its paired URLLC user to orient its decoder\nmatrix into one possible null space of the reference subspace. Hence, a robust\ndecoding ability is always preserved at the URLLC user, while cross-maximizing\nthe ergodic capacity. Compared to the state-of-the-art proposals from industry\nand academia, proposed scheduler shows extreme URLLC latency robustness with\nsignificantly improved overall spectral efficiency. Analytical analysis and\nextensive system level simulations are presented to support paper conclusions.\n