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於5G mmWave網路架構上設計新的RR排程方法以改善處理績效之研究

Design Issues of Novel Round-Robin Scheduling Scheme to Improve Processing Performance on the 5G mmWave Network

摘要


近年來雲端運算技術的成熟與感應裝置的快速發展,物聯網(IoT)應用的普及,2020年IDC在IT預測中IoT的感應裝置可能成長至300億個,這些無所不在的感應裝置所產生的大量資料將使現有的4G LTE網路流量不敷使用,因此催生了下一代5G行動通訊系統,5G可提供比4G LTE更高的網路流量及更低的網路延遲,只是5G以10Gbps資料傳輸速度供給數以萬計的使用者,但仍需要妥善分配無線行動網路之頻寬資源,因此,如何在有限的頻寬下提供較多使用者可靠的與較佳的資料傳輸是當前重要研究的議題之一。於5G網路之B-RR執行資源分配時會面臨到CQI(Channel Quality Indicator)不存在仍使用大量的時間嘗試進行資料傳輸,以及此演算法中關於處理UE的迴圈設計效率不彰的問題,容易造成UE資料傳輸時的網路資源損耗,因此我們提出新的NRRS排程方法以改善B-RR以達成資源的分配較佳化。NRRS方法著重在依CQI報告積數中作為資源分配的依據,其中並整合NOMA的UE配對策略以有效利用網路資源。我們進行模擬實驗並進行NRRS與B-RR之績效比較,於10UEs、20UEs、50UEs、100UEs的實驗結果,其關鍵績效指標(KPIs)顯示,減少Cell延遲的改善率達到27%,11%、15%和13%,在處理能量的改善率達到2%、26%、25%、14%,以及資料錯誤率的改善也有19%、24%、33%和16%,因為資料錯誤率的降低讓資料錯誤重傳次數也下降28%、18%、16%和22%。總之,模擬實驗結果顯示NRRS排程方法相對於B-RR有較低的Cell延遲、較好的處理能量、較低的資料錯誤率及較低的資料錯誤重傳次數。本文所提出的NRRS方法於5G核心網路上有較佳的頻寬資源的分配機制,以及減少傳輸資料錯誤的發生有極大的助益。

關鍵字

NRRS 無線行動網路 B-RR 5G 4G LTE

並列摘要


Purpose-5G mobile networks provide higher network traffic and lower packet latency. However, 5G can transmit data to thousands of users at a speed of 10 Gbps, but it still requires proper allocation scheduling of bandwidth resources on the 5G mobile networks. Therefore, this paper proposes a new NRRS scheme to achieve more efficient bandwidth resource allocation in the 5G mmWave mobile network. Design/methodology/approach-The proposed NRRS scheme focuses on the use of a CQI report value as the basis for bandwidth resource allocation and with combination of NOMA UE pairing method, Also, we did perform some simulations to compare and analyze their performance between NRRS and B-RR schemes. Findings-The experimental results of KPIs indicate that the Cell latency can achieve 27%, 11%, 15%, and 13% improvement ratios; Throughput can attain 2%, 26%, 25%, 14% improvement ratios; the Data failure ratio can get 19%, 24%, 33%, and 16% improvement ratios; and also Data Failure Retransmission can obtain 28%, 18%, 16%, and 22% improvement ratios in 10UEs, 20UEs, 50UEs, and 100UEs, respectively. Finally, the simulation 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 retransmission in the 5G mmWave mobile network. Research limitation/implications-Although the transmission speed in 5G mobile network reaches 40 times that of 4G LTE, there is high data traffic on mobile devices or IoT devices which have very high data traffic. Also, the 5G is still in a rapid growing development and bulky data may not be transmitted within a short period of time. Therefore, a better scheduling method is needed to allocate bandwidth resources. A better scheduling method can fairly and quickly allocate mobile network resources to prevent excessive occurrences of retransmissions and put mobile network resources into efficient usages. The main objective of this paper is to only utilize the 5G mmWave mobile network to perform experiments and design novel round robin scheduling to achieve more efficient resource allocation. Practical implications-The research results have proven that the NRRS scheme can obtain a lower Cell latency, higher Throughput, and lower Data failure and retransmission ratios than B-RR method. Practically, the proposed NRRS are highly conducive to allocating better bandwidth resources and more efficient data transmissions in the 5G mmWave mobile network. Originality/value-he inefficient issue of data transmission during the Channel Quality Indicator (CQI) value is nonexistent, when B-RR executes resource allocation on the 5G mmWave network. Also, the UE polling continues to be once happened is likely to be encountered, resulting in network resource loss during UE data transmission. Therefore, a new NRRS scheme is proposed in this paper to enhance the B-RR, in order to achieve more efficient bandwidth resource allocation and obtain higher throughput on the 5G mmWave mobile network.

並列關鍵字

NRRS Mobile Communications Network B-RR 5G 4G LTE

參考文獻


3GPP (2018), ‘NR and NG-RAN Overall Description - Rel. 15’, TS 38.300.
3GPP (2017), ‘Evolved Universal Terrestrial Radio Access (E-UTRA)’, Physical Layer Procedures (Release 14), TS 36.213.
Andrews, J.G., Buzzi, S., Choi, W., Hanly, S.V., Lozano, A., Soong, A.C.K. and Zhang, J.C. (2014), ‘What will 5G be?’, IEEE J. Sel. Areas Communication, Vol. 32, No. 6, pp. 1065-1082.
Ding, Z., Fan, P., & Poor, H.V. (2016), ‘Impact of User Pairing on 5G Nonorthogonal Multiple-Access Downlink Transmissions’, IEEE Trans. Veh. Technol., Vol. 65, No. 8, pp. 6010-6023.
Fataniya, B. and Patel, M. (2018), ‘Survey on Different Method to Improve Performance of The Round Robin Scheduling Algorithm’, in IJSRSET, Vol. 4, No. 2, pp. 69-77.

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