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| 研究生： |
戴石瑞 Firas Mardan Shnain Al-Taee |
|---|---|
| 論文名稱： |
Dynamic Resource Allocation for Group Paging in LTE Networks Dynamic Resource Allocation for Group Paging in LTE Networks |
| 指導教授： |
鄭瑞光
Ray-Guang Cheng |
| 口試委員: |
呂政修
Jenq-Shiou Leu 許獻聰 Sheu Shiann Tsong 任芳慶 REN FANG CHING |
| 學位類別： |
碩士 Master |
| 系所名稱： |
電資學院 - 電子工程系 Department of Electronic and Computer Engineering |
| 論文出版年： | 2013 |
| 畢業學年度： | 101 |
| 語文別： | 英文 |
| 論文頁數： | 28 |
| 中文關鍵詞： | resource utilization. 、random access 、dynamic resource allocation 、group paging 、Machine-type communications |
| 外文關鍵詞： | Machine-type communications, group paging, dynamic resource allocation, random access, resource utilization. |
| 相關次數： | 點閱：288 下載：1 |
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Group paging is one of the solutions proposed to deal with the radio access network overload problem resulted from machine-type communications. In group paging, the base station normally reserves a fixed number of radio resources during the paging cycle and thus, results in inefficient usage of the radio resource. This paper presents a dynamic resource allocation (DRA) scheme to adjust the reserved resource during the paging cycle based on the estimated number of contending devices in each random access slot. Analytical model is then presented to find the optimal value of design parameters of DRA subject to a given QoS constraint. Simulation results demonstrate the effectiveness of the proposed DRA algorithm.
Group paging is one of the solutions proposed to deal with the radio access network overload problem resulted from machine-type communications. In group paging, the base station normally reserves a fixed number of radio resources during the paging cycle and thus, results in inefficient usage of the radio resource. This paper presents a dynamic resource allocation (DRA) scheme to adjust the reserved resource during the paging cycle based on the estimated number of contending devices in each random access slot. Analytical model is then presented to find the optimal value of design parameters of DRA subject to a given QoS constraint. Simulation results demonstrate the effectiveness of the proposed DRA algorithm.
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