Interference-Aware Radio Resource Allocation for 5G Ultra-Reliable Low-Latency Communication

Ultra-reliable low-latency communication (URLLC) is one of the main challenges faced by future 5G networks to enable mission-critical IoT use-case scenarios. High reliability can be achieved by reducing the requirement of achievable rates, therefore, results in reduced spectral efficiency. Retransmission has been introduced for 5G or beyond, to achieve reliability with improved spectral efficiency at the cost of increased packet latency. Keeping in mind, the trade-off between reliability and latency, in this paper, we have proposed an interference-aware radio resource (IARR) allocation for uplink transmission by formulating a sum-rate maximization problem. The aim of the proposed algorithm is to improve the link quality to achieve high reliability for future 5G networks resulting in reduced retransmissions and packet latency. To reduce the computation complexity of the maximization problem in achieving the globally optimal solution, we propose a progressive interference-aware heuristic solution. The proposed solution is then investigated to evaluate the impact of retransmission and inter-cell interference on the average information rate and latency of the considered multi-cell cellular network. The performance of IARR algorithm is then compared with the conventional round-robin scheduling (RRS). Significant improvement in the link reliability along with the reduction in latency has been observed with IARR algorithm. The results illustrate that the IARR algorithm improves the average rate by 7% and latency by 10% compared to RRS

Dynamic resource block allocation techniques for simultaneous EMBB and URLLC traffic

Efficient utilization of Resource Blocks (RBs) whilst simultaneously meeting the desired Quality of Service (QoS) of Ultra-Reliable Low Latency Communication (URLLC) and Enhanced Mobile Broadband (EMBB) applications in the downlink Fifth Generation (5G) is an open research problem. Therefore, this paper proposes two dynamic Resource Block (RB) allocation techniques known as Channel-aware Dynamic RB Allocation (CDRA) and Urgency-aware Dynamic RB Allocation (UDRA) in our attempts to address the problem. These techniques dynamically allocate the number of RBs for packet transmission according to a user channel quality (CDRA) as well as packets urgency (UDRA) to achieve the 1 ms latency with 10-5 Packet Loss Ratio (PLR). An extensive computer simulation was conducted based on realistic radio propagation and interference affected in a cell using the new frame structure, mini-slot 0.143 ms Transmission Time Interval (TTI) of 15 kHz Subcarrier Spacing (SCS), dynamic Control Channel (CCH) and short Hybrid Automatic Repeat Request (HARQ) features. The simulation results showed the efficacy of UDRA over CDRA where UDRA has explicitly improved the multimedia QoS namely PLR, latency, and throughput in the downlink 5G network