Modeling and Analysis of Resource Allocation for Grant-free Transmission in 5G
| Autor: | Cheng, Li-Yu, 鄭力瑜 |
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| Rok vydání: | 2018 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 106 In the fifth generation (5G) mobile networks, 3GPP has identified three key scenarios such as enhanced mobile broadband (eMBB), massive machine type communication (mMTC) and ultra-reliable and low latency communication (URLLC). To meet the stringent delay requirement of URLLC, grant-free transmission is a promising approach to reduce transmission delay and signaling overhead. In the uplink grant-free transmission, a device can transmit the control signal and the data without the uplink grant from the base station. However, the resource collision issue of grant-free transmission in which more than one device chooses the same resource becomes more challenging. To avoid the resource collision problem, radio resources are reserved for grant-free transmissions. In this thesis, the analysis models of different allocation schemes on successful transmission probability have been proposed. Due to the existing allocation schemes with static resource allocation fail to fast response to the traffic variation, an adaptive resource allocation scheme for URLLC services has been investigated. We analytically show that the proposed resource allocation scheme can improve the successful transmission probability. We further build the worst-case delay performance analysis model using the stochastic network calculus considering the reliability of the URLLC service. Furthermore, simulation results demonstrate that the delay and throughput performances of the proposed scheme outperform the existing resource sharing schemes. In addition, when the k-repetition transmission mechanism is applied, the proposed scheme will achieve a reliability of 99.994%, which almost meets the requirement of URLLC. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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