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研究生:陳柔伊
研究生(外文):Chen, Jou-Yi
論文名稱:多重輸入多重輸出於多點協調系統中基於網路定義與使用者定義之效能分析
論文名稱(外文):Performance Analysis for Network-Centric and User-Centric MIMO Multi-Cell Cooperation
指導教授:劉光浩
指導教授(外文):Liu, Kuang-Hao
口試委員:陳喬恩曾凡碩卿文龍
口試委員(外文):Chiao-En ChenFan-Shuo TsengWen-Long Chin
口試日期:2017-07-14
學位類別:碩士
校院名稱:國立成功大學
系所名稱:電腦與通信工程研究所
學門:工程學門
學類:電資工程學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:英文
論文頁數:43
中文關鍵詞:多點協調進階長期演進技術多重輸入多重輸出隨機幾何迫零波束成形
外文關鍵詞:Coordinated multi-point(CoMP)long-term evolution advanced(LTE-A)multi-input multi-output(MIMO)stochastic geometryzero forcing beamforming(ZFBF)
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近年來,無線頻寬的需求呈現爆炸性的成長,密集的佈建基地台以增加訊號的覆蓋率,不但拉近了基地台與使用者的距離,改善細胞邊緣用戶的連線品質,但細胞之間的干擾也大幅上升,維持高品質的無線網路的關鍵在於干擾消除,由進階長期演進技術提出的多點協調技術透過基地台相互合作,能有效的管理鄰近基地台所造成的干擾。然而現在還沒有明確的規定該由哪些基地台合作行成叢集,可以降低建構基地台合作的複雜度和帶給網路最大的效益。因此本論文分析了兩種使基地台合作的方式,第一種是藉由網路事先定義好由哪些基地台合作形成叢集,第二種是由使用者依據接收功率進行排序,向數個提供功率較強的基地台發送連線請求,由這些基地台合作形成叢集。本論文透過分析使用者的訊號與雜訊干擾比,進而瞭解不同基地台形成叢集的方式對於使用者的連線品質與吞吐量的理論值。我們以模擬結果來驗證理論值,並且觀察各關鍵參數對於多點協調系統的影響。
In cellular networks, high spectral efficiency is often achieved by frequency reuse, leading to severe inter-cell interference (ICI). In order to eliminate ICI, a promising technique called Coordinated Multi-Point (CoMP) has been introduced in the Long-Term Evolution Advanced (LTE-A), where multiple base stations (BSs) cooperate to serve users. While CoMP has been widely studied, a fundamental question remains unclear: how to group a set of BSs to cooperate? In this work, theoretical analysis is conducted to investigate two clustering mechanisms for BS cooperation, including the network-centric and the user-centric clustering. For the former, the BSs in the proximity are clustered during the network planning state. For the latter, BSs are clustered if they provide superior average received power to the user regardless their locations. To evaluate the performance of the two clustering mechanisms, we derive the coverage probability and the ergodic sum rate by using the tools from stochastic geometry. Simulation results are presented to verify the analysis accuracy and demonstrate the impact of numerous key system parameters to the CoMP system.
Chinese Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . i
English Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii
Acknowledgement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii
Table of Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv
List of Figures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi
List of Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . viii
List of Symbols . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . x
List of Acronyms . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . xi
1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.1 Illustration and Problem Statement . . . . . . . . . . . . . . . . . . . . . . 1
1.2 Thesis Structure . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
2 Related Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
2.1 CoMP Categories . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3
2.2 BSs Clustering . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
3 BS cooperation scheme . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
3.1 Network-Centric . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
3.1.1 Joint transmission Scenario . . . . . . . . . . . . . . . . . . . . . 8
3.1.2 Coordinated Beamforming Scenario . . . . . . . . . . . . . . . . . 14
3.2 User-Centric . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 15
3.2.1 Received SINR . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16
3.2.2 Analysis of the Coverage Probability and the Downlink User Rate . 17
4 Results and Discussions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20
4.1 Impact of BS Load . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 21
4.1.1 Network-centric clustering . . . . . . . . . . . . . . . . . . . . . . 21
4.1.2 User-centric clustering . . . . . . . . . . . . . . . . . . . . . . . . 24
4.2 Impact of Number of BS Antennas . . . . . . . . . . . . . . . . . . . . . . 28
4.2.1 Network-centric clustering . . . . . . . . . . . . . . . . . . . . . . 28
4.2.2 User-centric clustering . . . . . . . . . . . . . . . . . . . . . . . . 30
4.3 The Impact of Pico Cell . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
4.3.1 Network-Centric . . . . . . . . . . . . . . . . . . . . . . . . . . . 32
4.4 Comparisons Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
4.4.1 Joint Transmission Gain . . . . . . . . . . . . . . . . . . . . . . . 35
4.4.2 CoMP Gain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
4.4.3 Comparisons of Clustering Schemes . . . . . . . . . . . . . . . . . 38
5 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
5.1 Summery of Thesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40
5.2 Future Work . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42
[1] 3GPP TR 36.819, “3rd Generation Partnership Project; Technical Specification Group Radio Access Network; Coordinated multi-point operation for LTE physical layer aspects (Release 11),” v11.1.0, December 2011.
[2] D. Lee, H. Seo, B. Clerckx, E. Hardouin, D. Mazzarese, S. Nagata, and K. Sayana, “Coordinated multipoint transmission and reception in lte-advanced: deployment scenarios and operational challenges,” IEEE Communications Magazine, vol. 50, no. 2, 2012.
[3] Orange, Telef´onica, “R1-111174, Backhaul Modeling for CoMP,” 3GPP TSG RAN WG1, December 2011.
[4] P.-M. Hsu, J.-J. Chen, and J.-M. Liang, “Dynamic cooperating set planning for coordinated multi-point (comp) in lte/lte-advanced systems,” in Proc. 2013 15th Asia-Pacific Network Operations and Management Symposium (APNOMS), Sept 2013, pp. 1–6.
[5] K. Hosseini, W. Yu, and R. S. Adve, “A stochastic analysis of network mimo systems,” IEEE Transactions on Signal Processing, vol. 64, no. 16, pp. 4113–4126, Aug 2016.
[6] S. Akoum and R. W. Heath, “Interference coordination: Random clustering and adaptive limited feedback,” IEEE Transactions on Signal Processing, vol. 61, no. 7, pp. 1822–1834.
[7] W. Nie, F.-C. Zheng, X. Wang, W. Zhang, and S. Jin, “User-centric cross-tier base station clustering and cooperation in heterogeneous networks: Rate improvement and energy saving,” IEEE Journal on Selected Areas in Communications, vol. 34, no. 5, pp. 1192–1206, 2016.
[8] G. Nigam, P. Minero, and M. Haenggi, “Coordinated multipoint joint transmission in heterogeneous networks,” IEEE Transactions on Communications, vol. 62, no. 11, pp. 4134–4146, 2014.
[9] W. Nie, X. Wang, F.-C. Zheng, and W. Zhang, “Energy-efficient base station cooperation in downlink heterogeneous cellular networks,” in Proc. 2014 IEEE Global Communications Conference (GLOBECOM), 2014 IEEE, pp. 1779–1784.
[10] X. Zhang and M. Haenggi, “A stochastic geometry analysis of inter-cell interference coordination and intra-cell diversity,” IEEE Transactions on Wireless Communications, vol. 13, no. 12, pp. 6655–6669, 2014.
[11] R. Ran, C. h. An, D. Kim, and V. K. N. Lau, “Capacity analysis of the clustered network mimo with overlap,” in Proc. 2012 IEEE Wireless Communications and Networking Conference (WCNC), April 2012, pp. 1942–1946.
[12] A. He, L. Wang, Y. Chen, M. Elkashlan, and K.-K. Wong, “Massive mimo in k-tier heterogeneous cellular networks: Coverage and rate,” in Proc. 2015 IEEE Global Communications Conference (GLOBECOM), 2015 IEEE, pp. 1–6.
[13] E. Bj¨ornson, M. Bengtsson, and B. Ottersten, “Optimal multiuser transmit beamforming: A difficult problem with a simple solution structure,” IEEE Signal Processing Magazine, vol. 31, no. 4, pp. 142–148, July 2014.
[14] S. Foss and S. Zuyev, “On a voronoi aggregative process related to a bivariate poisson process,” Advances in Applied Probability, vol. 28, no. 04, pp. 965–981, 1996.
[15] N. Seifi, R.W. Heath, M. Coldrey, and T. Svensson, “Adaptive multicell 3-d beamforming in multiantenna cellular networks,” IEEE Transactions on Vehicular Technology, vol. 65, no. 8, pp. 6217–6231, 2016.
[16] D. Moltchanov, “Distance distributions in random networks,” Ad Hoc Networks, vol. 10, no. 6, pp. 1146–1166, 2012.
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