| 研究生: |
王良祐 Wang, Liang-You |
|---|---|
| 論文名稱: |
LTE異質網路增強型基地台間干擾協調之模糊Q學習處理 Fuzzy Q-Learning Process for Enhanced Inter-cell Interference Coordination in LTE Heterogeneous Networks |
| 指導教授: |
蘇賜麟
Su, Szu-Lin |
| 學位類別: |
碩士 Master |
| 系所名稱: |
電機資訊學院 - 電腦與通信工程研究所 Institute of Computer & Communication Engineering |
| 論文出版年: | 2019 |
| 畢業學年度: | 107 |
| 語文別: | 中文 |
| 論文頁數: | 38 |
| 中文關鍵詞: | 異質網路 、基地台間干擾協調 、模糊Q學習 |
| 外文關鍵詞: | Heterogeneous Network, Enhanced Inter-cell Interference Coordination, Fuzzy Q-learning |
| 相關次數: | 點閱:57 下載:0 |
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在LTE系統中,為滿足行動通訊之資訊傳輸量需求,透過佈建小型基地台能彌補大型基地台的頻譜效率不佳問題,因此大、小細胞並存之異質網路被廣泛討論,但其伴隨的嚴重大小細胞間互干擾也導致服務中斷的機率提升,所以3GPP Release 10 LTE標準制定增強型基地台間干擾協調(eICIC)技術以疏解此問題。
本論文結合使用幾近空白子訊框(Almost Blank Subframe, ABS)與細胞涵蓋展延(Cell Range Expansion, CRE)技術,於各小型基地台分散式採用Fuzzy Q-learning處理方法,考慮各基地台負載、通話阻斷率(Call Bock Rate, CBR)與通話中斷率(Call Drop Rate, CDR)來學習調整,以適應性調整各別細胞偏移量(Cell Individual Offset, CIO),即適應性調整細胞涵蓋展延範圍及服務用戶數,以達到提升整體頻譜效率的目的,系統模擬結果顯示經過調整後能得到較佳的性能表現。
In order to satisfy data-communication demands of mobile communications, through the deployment of small cells can compensate the poor spectrum efficiency of macro cells. Therefore, the heterogeneous networks (HetNets) have been widely discussed in LTE system. However, because of the serious mutual interference between cells, it will increase the probability of service interruption. Therefore, 3GPP Release 10 LTE standard formulate Enhanced Inter-cell Interference Coordination (eICIC) technique to improve this problem.
This thesis uses Almost Blank Subframe (ABS) and Cell Range Expansion (CRE) technique. We adopt fuzzy Q-learning approach at each distributed small base station and consider the loading of base station, call bock rate (CBR) and call drop rate (CDR) to adaptively modify Cell Individual Offset (CIO). It can achieve adaptive adjustment cells’ range and serving user’s account to increase spectrum efficiency. The system simulations show that it has better performance after adjustment.
參考文獻
[1] 3GPP TR 36.839, “Mobility enhancements in heterogeneous networks,” 2012.
[2] 3GPP TS 36.331, “Radio Resource Control (RRC);Protocol specification,” 2012.
[3] 3GPP TS 36.133, “Requirements for support of radio resource management” V14.4.0
[4] 3GPP TS 36.300, “Overall description; Stage 2,” 2009.
[5] 3GPP TSG RAN WG1 R1-083813, ”Range expansion for efficient support of heterogeneous networks”, Qualcomm Europe, RAN1 #54bis,September 2008.
[6] S. Deb, P. Monogioudis, J. Miernik, and J. P. Seymour, “Algorithms for enhanced inter-cell interference coordination (eICIC) in LTE HetNets,” IEEE/ACM Trans. Netw., vol. 22, no. 1, pp. 137–150, Feb. 2014.
[7] M. Simseki, M. Bennis, A. Czylwiki, "Dynamic Inter-Cell Interference Coordination in HetNets: A Reinforcement Learning Approach", IEEE Global Communications Conference (GLOBECOM), pp. 5446-5450, December 2012.
[8] A. Daeinabi and K. Sandrasegaran, “A Fuzzy Q-learning Approach for Enhanced Intercell Interference Coordination in LTE-Advanced Heterogeneous Networks,” in Proc. 20th Asia–Pacific Conf. Commun. (APCC), Oct. 2014, pp. 139–144.
[9] 3GPP TR 36.814, “Further advancements for E-UTRA physical layer aspects” 2010.
[10] 3GPP TR 36.942, "Radio Frequency (RF) system scenarios," 2012.
[11] 3GPP TR 36.931, “Radio Frequency (RF) requirements for LTE Pico Node B,” 2011.