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.
Simultaneous support of multimedia traffic mixture with strict and contending Quality of Service (QoS) in the downlink Fifth Generation (5G) mobile wireless network is a challenging issue. In the 5G wireless network, packet scheduling is in charge to deliver multimedia packets to the end users such that the scarce 5G radio resources are effectively used and the strict multimedia QoS is maintained for many users. Given that devising a new packet scheduling algorithm is time-consuming and requires additional effort, this paper slightly modifies several renowned conventional packet scheduling algorithms and evaluates their performance when simultaneously supporting Ultra-Reliable Low Latency Communication (uRLLC) and enhanced Mobile Broadband (eMBB) in the downlink 5G. The efficiency of the Modified Maximum-Largest Weighted Delay First (M-MLWDF) algorithm was demonstrated via computer simulation where the algorithm supports 112.9% more users over Modified Max-Rate (M-Max-Rate) and Modified Round Robin (M-RR) at the uRLLC QoS targets whilst meeting the target eMBB throughput.
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