URLLC與eMBB共存下無線電存取資源適應性調整方法之研究

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姓名

賴郁承(Yu-Cheng Lai) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

URLLC與eMBB共存下無線電存取資源適應性調整方法之研究
(Study of Adaptive Radio Access Resource Adjustment Schemes for URLLC and eMBB Coexistence)

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摘要(中)

在科技日新月異的現在，網路成為我們密不可分的一部份，而隨著人類使用到網路的比例越大，網路性能的要求也越來越高。目前行動通訊已經發展到5G，為了網路對生活的不同應用，ITU-R(ITU Radiocommunication Sector)制定了三大場景，分別為URLLC(超可靠低延遲通訊)、eMBB(增強型行動頻寬)、mMTC(大規模機器型通訊)。三種場景所要求的性能各有不同，基地台中資源利用的設計也有不同考量的點，在現今許多環境中可能會同時需要多種場景使用，因此多個場景的共存非常考驗系統架構的設計。
網路環境中的使用者，在需要上傳資料至網路時，必須先與基地台進行連線，這個連線的過程稱之為隨機存取(Random Access)，而由於基地台資源是有限的，因此對於所有使用者必須採取競爭的方法來進行連線，只有競爭成功才能開始上傳資料，而對於URLLC來說，更發展了另一種上傳方法Grant-free(無允諾上行)來協助其低延遲的特性，本論文主要探討URLLC與eMBB兩種場景應用共存，在兩者使用不同的隨機存取方法時，必須要讓兩者皆達到設想的性能，但不同的資源分配方法各有好壞，因此本論文除了探討分組的動態調整方法之外，同時也設計出用來切換不同分組模式的判斷方法，讓基地台可以根據目前環境中UE的成功率或者數量來決定當前所選擇的模式，以求讓URLLC的效能增加。
本論文通過討論兩種分組方法、三種切換方法和兩種調整參數方式來進行模擬並分析，從中一一進行分析並找出每種方法對應的適合場景、優缺點等，同時做出統整並挑選出最理想的切換方法，並對兩種調整參數可以如何優化做進一步說明。

摘要(英)

In the rapidly evolving world of technology, the internet has become an integral part of our lives. As the percentage of people using the internet continues to grow, the demand for network performance is also increasing. Currently, mobile communication has advanced to 5G, and in order to cater to different applications of the network in daily life, the ITU-R (ITU Radiocommunication Sector) has defined three major scenarios: URLLC (Ultra-Reliable Low-Latency Communication), eMBB (Enhanced Mobile Broadband), and mMTC (Massive Machine Type Communication). The performance requirements for three different scenarios vary, and the design considerations for resource utilization in base stations also differ. In many present-day environments, there may be a simultaneous need for multiple scenario usage, making the coexistence of multiple scenarios a significant challenge for system architecture design.
In a network environment, when users need to upload data to the network, they must first establish a connection with the base station. This connection process is known as random access. However, since base station resources are limited, a competitive method must be employed to establish connections for all users. Only those who successfully compete can begin uploading data. For URLLC, another upload method called Grant-free has been developed to assist its low-latency characteristics. This paper primarily explores the coexistence of URLLC and eMBB scenarios. When different random access methods are used for each scenario, it is crucial to ensure that both scenarios achieve the desired performance. However, different resource allocation methods have their pros and cons. Therefore, in addition to investigating dynamic adjustment methods for grouping, this paper also designs a decision-making method to switch between different grouping modes. This allows the base station to select the current mode based on factors such as the success rate or quantity of User Equipment (UE) in the current environment, aiming to improve the performance of URLLC.
This paper simulates and analyzes two grouping methods, three switching methods, and two parameter adjustment methods. Through this analysis, each method is examined to determine its suitable scenarios, advantages, disadvantages, and overall performance. The paper also aims to identify the most ideal switching method and provide further explanations on how to optimize the two parameter adjustment methods.

關鍵字(中)

★ URLLC
★ eMBB
★ 動態調整
★ 切換
★ 隨機存取

關鍵字(英)

★ URLLC
★ eMBB
★ Dynamically Adjusting
★ Switch
★ Random Access

論文目次

摘要 i
Abstract ii
致謝 iv
目錄 v
圖目錄 viii
表目錄 xii
第一章緒論 1
1.1 研究背景 1
1.2 研究動機 3
1.3 章節概要 4
第二章相關研究 5
2.1 5G三大場景介紹 5
2.2 Frame Structure 5
2.2.1 Numerologies 5
2.2.2 Mini-slot 8
2.2.3 頻域資源 8
2.3 Random Access Procedure 10
2.4 Preamble介紹 13
2.5 HARQ介紹 14
2.6 相關文獻 16
第三章研究方法 20
3.1 系統架構 20
3.1.1 系統環境 20
3.1.2 PRACH設計 21
3.1.3 PUSCH設計 21
3.2 系統流程 22
3.2.1 系統參數 23
3.2.2 URLLC UE Random Access Procedure 25
3.2.3 eMBB UE Random Access Procedure 26
3.2.4 RB Allocation for eMBB UE 28
3.2.5 Switch Mode and Dynamic Allocation 28
第四章模擬結果與分析 34
4.1 模擬環境 34
4.2 模擬參數 35
4.3 正常模擬 36
4.3.1 URLLC UE Random Access Success Ratio 36
4.3.2 eMBB UE Random Access Success Ratio 38
4.3.3 Preamble使用狀態 41
4.3.4 HARQ統計圖 51
4.3.5 更改碰撞參數 55
4.3.6 針對性更改碰撞參數 55
4.4 長時間模擬 56
4.4.1 URLLC UE Random Access Success Ratio 57
4.4.2 eMBB UE Random Access Success Ratio 60
4.4.3 各組別中Preamble數量變化 63
4.4.4 使用模式 67
4.4.5 使用模式比例 70
4.4.6 更改碰撞參數 72
4.4.7 針對性更改碰撞參數 74
4.5 切換方法統整與分析 76
第五章結論 77
參考文獻 78

參考文獻

[1]Recommendation ITU-R, M.2083-0(09/2015), "IMT Vision – Framework and overall objectives of the future development of IMT for 2020 and beyond".

[2]3rd Generation Partnership Project; Technical Specification Group Radio Access Network; "Study on Scenarios and Requirements for Next Generation Access Technologies"; (Release 17), 3GPP TR 38.913 V17.0.0 (2022-03).

[3]3rd Generation Partnership Project; Technical Specification Group Radio Access Network; "Study on New Radio (NR) access technology", (Release 17), 3GPP TR 38.912 V17.0.0 (2022-03).

[4]3rd Generation Partnership Project; Technical Specification Group Radio Access Network; NR; "Physical channels and modulation", (Release 17), 3GPP TS 38.211 V17.4.0 (2022-12).

[5]
[Online]Available:https://www.sharetechnote.com/html/5G/5G_FrameStructure.html

[6]3rd Generation Partnership Project; Technical Specification Group Radio Access Network; NR; " Radio Resource Control (RRC) protocol specification", (Release 17), 3GPP TS 38.331 V17.4.0 (2023-03).

[7]3rd Generation Partnership Project; Technical Specification Group Radio Access Network; NR; "User Equipment (UE) radio transmission and reception; Part 1: Range 1 Standalone", (Release 18), 3GPP TS 38.101-1 V18.1.0 (2023-03).

[8]3rd Generation Partnership Project; Technical Specification Group Radio Access Network; NR; "NR and NG-RAN Overall Description; Stage 2", (Release 17), 3GPP TS 38.300 V17.4.0 (2023-03).

[9]Yan Liu, Yansha Deng, Maged Elkashlan, Arumugam Nallanathan, and George K. Karagiannidis, "Analyzing Grant-Free Access for URLLC Service," IEEE Journal on Selected Areas in Communications, vol. 39, no. 3, March, 2021.

[10]Jayashree Thota and Adnan Aijza, "On Performance Evaluation of Random Access Enhancements for 5G uRLLC", 2019 IEEE Wireless Communications and Networking Conference (WCNC).

[11]Yifan Chen, Guohui Wang, Huiyue Yi, Wuxiong Zhang, "Priority-based Distributed Queuing Random Access Mechanism for mMTC/uRLLC Terminals Coexistence", 2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring).

[12]Seokjae Moon and Jang-Won Lee, "Integrated Grant-Free Scheme for URLLC and mMTC," IEEE 5G World Forum (5GWF), 2020.

[13]Nathalie Naddeh, Sana Ben Jemaa, Salah Eddine Elayoubi, Tijani Chahed, "Proactive RAN Resource Reservation for URLLC Vehicular Slice", IEEE 93rd Vehicular Technology Conference (VTC2021-Spring), 2021.

[14]Yu-Jia Chen, Li-Yu Cheng and Li-Chun Wang, "Prioritized resource reservation for reducing random access delay in 5G URLLC", IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2017.

[15]You-En Song, "Study of Dynamically Adjusting Preambles and Resource Allocation for uRLLC and eMBB Coexistence", June, 2022.

指導教授

陳彥文(Yen-Wen Chen)

審核日期

2023-7-14

推文