Dynamic-Structure Resource Block Allocation Based Scheduling for 5G Systems

We propose an efficient radio resource scheduling (RRS) approach based on the existing dynamic resource block structure (D-RBS). The proposed RRS is more responsive to variations in traffic demand. More specifically, small-sized resource blocks (RB)s are allocated to user equipments (UE)s to handle the changes in the traffic needs and link failures. The proposed approach enables low latency communication without the use of punctured mini-slot based scheduling methods. Thus, the performance of enhanced mobile broadband (eMBB) UEs or cells is not degraded while prioritizing ultra-reliable low latency communication (URLLC) UEs. The available RBs are distributed using traditional scheduling algorithms such as round robin (RR), proportional fair (PF), and best channel quality indicator (BCQI). Also, the proposed scheme allows the dynamic switching of RR and BCQI scheduling based on specific thresholds, such as signal-to-noise ratio (SNR) values. System-level simulations (SLS)s are performed to evaluate the performance of the proposed approach against the conventional static resource block structure (S-RBS) approach. The simulation results demonstrate that the developed approach provides robust data rate, system throughput, spectral efficiency (SE), and achievable rate per UE for various fifth generation (5G) services.