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- W2916161839 abstract "Due to mature technologies in cloud computing, and the fast development of sensing devices, IoT applications popularized in recent years have become the main contributors to a drastic increasing in future wireless mobile network data traffic. Compared to 4G LTE, 5G provides higher network traffic and lower packet latency. However, 5G that transmits data to thousands of users at a speed of 10 Gbps still requires proper allocation of mobile network bandwidth resources. When B-RR executes resource allocation on the 5G mmWave network, the problem of inefficiency when the Channel Quality Indicator (CQI) value is nonexistent but data transmission and UE polling continue to take place is likely to be encountered, resulting in network resource loss during UE data transmission. Therefore, a new NRRS was proposed in this paper to improve B-RR and achieve more efficient resource allocation. The NRRS scheduling scheme focuses on the use of a CQI report value as the basis for resource allocation. NRRS and B-RR simulation experiments were carried out to compare their performance. The simulation results of KPIs indicate that the Cell latency can achieve 27%, 11%, 15%, and 13% improvement ratios; Throughput can attain 2%, 41%, 35%, and 30% improvement ratios; and also the Data failure ratio can get 19%, 24%, 33%, and 16% improvement ratios in 10UEs, 20UEs, 50UEs, and 100UEs, respectively. Preliminary research results have proven that the NRRS scheduling scheme can obtain a lower Cell latency, higher Throughput and lower Data failure ratio, which are highly conducive to allocating better bandwidth resources and more efficient data retransmissions in the 5G mmWave network." @default.
- W2916161839 created "2019-03-02" @default.
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- W2916161839 date "2018-12-01" @default.
- W2916161839 modified "2023-09-24" @default.
- W2916161839 title "Design Issues of Novel Round Robin Scheduling Scheme to Improve Processing Performance in a 5G MMWave Network" @default.
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- W2916161839 doi "https://doi.org/10.1109/padsw.2018.8645030" @default.
- W2916161839 hasPublicationYear "2018" @default.
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