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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/55257完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 魏宏宇(Hung-Yu Wei) | |
| dc.contributor.author | Chan-Yu Tung 董展羽 | en |
| dc.contributor.author | 董展羽 | zh_TW |
| dc.date.accessioned | 2021-06-16T03:53:33Z | - |
| dc.date.available | 2016-02-04 | |
| dc.date.copyright | 2015-02-04 | |
| dc.date.issued | 2014 | |
| dc.date.submitted | 2015-01-06 | |
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Rappaport, “Millimeter wave Multi-Beam Antenna Combining For 5G Cellular Link Improvement in New York City,” in 2014 IEEE International Conference on Communications (ICC), June 2014, pp. 5468–5473. [23] S. Larew, T. Thomas, M. Cudak, and A. Ghosh, “Air Interface Design and Ray Tracing Study for 5G Millimeter Wave Communications,” in 2013 IEEE Globecom Workshops (GC Wkshps), Dec 2013, pp. 117–122. [24] S. Rangan, T. Rappaport, and E. Erkip, “Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges,” Proceedings of the IEEE, vol. 102, no. 3, pp. 366–385, March 2014. [25] V. Vishnevsky, A. Larionov, and S. Frolov, “Design and Scheduling in 5G Stationary and Mobile Communication Systems Based on Wireless Millimeter-Wave Mesh Networks,” in Distributed Computer and Communication Networks, ser. Communications in Computer and Information Science, V. Vishnevsky, D. Kozyrev, and A. Larionov, Eds. Springer International Publishing, 2014, vol. 279, pp. 11–27. [Online]. Available: http://dx.doi.org/10.1007/978-3-319-05209-0_2 | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/55257 | - |
| dc.description.abstract | 下世代的高速行動網路將發展於毫米波傳輸。無限行動網路的資源分配是許多研究發展的重要領域，特別是 5G 的下世代網路。在這個論文裡，我們將設計一個指向性的資源分配演算法。主要針對從基地台下載到行動裝置的資源分配。這個演算法稱之為 PWBU Approach，設計於達到次等優化，但省下許多處理時間。在這篇論文的末端我們將證明這個演算法可以把使用者有效率的分配到這個時槽裡頭，且用低干擾的指向性訊號做完資源分配。這些資源分配的結果，將會跟窮舉法所找出來的絕對最佳分配做比較。 | zh_TW |
| dc.description.abstract | Next generation cellular system applies mmWave for high rate transmission. Radio resource allocation is a critical problem in 5G mmWave system. In this thesis, we design a resource allocation algorithm, mainly on downlink data transmission by Base Station (BS) to User Equipments (UEs) implemented using directional antennas. The resource allocation is accomplished by Pair-Wisely Bottom-Up (PWBU) approach, targeting a time-efficient allocation based on SINR value feedbacks. We utilize adaptive smart antennas capable of simultaneous transmission toward different target device ends. The goal of allocation is to determine which UEs to serve in each time-slots. At the end of this thesis, we will evaluate performance of PWBU heuristic allocation. The designed algorithm will achieve time efficient and sub-optimal resource allocation compared to the results of exhaustive optimization. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-16T03:53:33Z (GMT). No. of bitstreams: 1 ntu-103-R01942126-1.pdf: 3827950 bytes, checksum: 018f7a328ef09e68eebc220a0752ba90 (MD5) Previous issue date: 2014 | en |
| dc.description.tableofcontents | 誌謝 i
摘要 ii Abstract iii 1 Introduction 1 2 Related Researches 5 2.1 Current mmWave Technologies at 60GHz . . . . . . . . . . . . . . . . . . . . 6 2.2 More on Directional Beamform Antennas . . . . . . . . . . . . . . . . . . . . 8 2.3 Relationship to 5G with mmWave . . . . . . . . . . . . . . . . . . . . . . . . 9 3 System Model 12 3.1 Physical Design . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 3.1.1 Physical Environment . . . . . . . . . . . . . . . . . . . . . . . . . . 13 3.1.2 Resource Description . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 3.2 Propagation Channel Model . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.2.1 Propagation for LoS . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 3.2.2 Propagation for NLoS with LoS . . . . . . . . . . . . . . . . . . . . . 17 3.3 Throughput Approximation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 3.4 Antenna Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 3.4.1 Device Description . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23 4 PWBU Heuristic Algorithm 24 4.1 Introduction to PWBU Algorithm . . . . . . . . . . . . . . . . . . . . . . . . 25 4.1.1 Subliminary Allocation Functions . . . . . . . . . . . . . . . . . . . . 27 4.1.2 Multiple UEs Categorization . . . . . . . . . . . . . . . . . . . . . . . 28 4.1.3 Multiple UEs Allocation . . . . . . . . . . . . . . . . . . . . . . . . . 28 4.1.4 Multiple UEs Fill-Up Allocation . . . . . . . . . . . . . . . . . . . . . 28 4.1.5 UEs Beam Allocation . . . . . . . . . . . . . . . . . . . . . . . . . . 29 4.2 Single UE Allocation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 4.3 Pair Allocation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 4.3.1 Interference Range . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 4.3.2 Derivation of Receiving Zone . . . . . . . . . . . . . . . . . . . . . . 38 4.4 Multiple UEs Categorization . . . . . . . . . . . . . . . . . . . . . . . . . . . 41 4.5 Multiple UEs Allocation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 4.6 Multiple UEs Fill-Up Allocation . . . . . . . . . . . . . . . . . . . . . . . . . 44 4.7 UEs Beam Allocation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 5 Exhaustive Approach 48 5.1 Exhaustive Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 5.1.1 Combination Function: arrangeDivisionAccess . . . . . . . . . . . . . 51 5.2 Exhaustive Fill-Up Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 6 PWBU Heuristic With SINR 60 6.1 Heuristic Algorithm Modification . . . . . . . . . . . . . . . . . . . . . . . . 61 6.2 Single Allocation by SINR . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62 6.3 Pair Allocation by SINR . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 64 6.4 Multiple UEs Categorization by SINR . . . . . . . . . . . . . . . . . . . . . . 65 6.5 Other Functions with SINR . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 7 Miscellaneous Concepts 67 7.1 Pair Allocation by Inequality Approach . . . . . . . . . . . . . . . . . . . . . 67 7.1.1 Analytical Approach in Quadrant-I . . . . . . . . . . . . . . . . . . . 69 7.1.2 Analytical Approach in Quadrant-II . . . . . . . . . . . . . . . . . . . 69 7.1.3 Analytical Approach in Quadrant-III . . . . . . . . . . . . . . . . . . . 70 7.1.4 Analytical Approach in Quadrant-IV . . . . . . . . . . . . . . . . . . . 71 7.2 Preference of Simultaneous Beamforming over TDMA . . . . . . . . . . . . . 71 7.3 Maximum UEs per Time-Slot . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 7.3.1 Defining Maximum UEs in Provided Sector . . . . . . . . . . . . . . . 75 7.3.2 Defining Maximum UEs by Average SINR . . . . . . . . . . . . . . . 76 8 Performance Evaluation 79 8.1 Examinations in a Sector Area . . . . . . . . . . . . . . . . . . . . . . . . . . 80 8.1.1 Sector Allocation Without Fill-Up . . . . . . . . . . . . . . . . . . . . 81 8.1.2 Sector Allocation With Fill-Up . . . . . . . . . . . . . . . . . . . . . . 82 8.2 Examination in All Locations . . . . . . . . . . . . . . . . . . . . . . . . . . . 85 8.2.1 Allocation Without Fill-Up . . . . . . . . . . . . . . . . . . . . . . . . 86 8.2.2 Allocation With Fill-Up . . . . . . . . . . . . . . . . . . . . . . . . . 88 8.3 Fairness Measurement . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 90 8.3.1 Measurement in Sector Area . . . . . . . . . . . . . . . . . . . . . . . 92 8.3.2 Measurement in All Locations . . . . . . . . . . . . . . . . . . . . . . 92 9 Conclusion 94 Bibliography 94 | |
| dc.language.iso | en | |
| dc.subject | 指向性天線 | zh_TW |
| dc.subject | 毫米波 | zh_TW |
| dc.subject | 5G | zh_TW |
| dc.subject | 傳輸時間空間演算法 | zh_TW |
| dc.subject | 智慧型天線 | zh_TW |
| dc.subject | Directional Antenna | en |
| dc.subject | Adaptive Antenna Array | en |
| dc.subject | Time- Spatial Resource Allocation | en |
| dc.subject | mmWave | en |
| dc.subject | Beamforming | en |
| dc.title | 下世代指向性毫米波媒體(MAC)資源分配最佳化 | zh_TW |
| dc.title | Next-Generation Directional mmWave MAC Time-Spatial Resource Allocation | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 103-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 張家俊,周俊廷,謝宏昀 | |
| dc.subject.keyword | 指向性天線,毫米波,5G,傳輸時間空間演算法,智慧型天線, | zh_TW |
| dc.subject.keyword | Directional Antenna,Beamforming,Adaptive Antenna Array,Time- Spatial Resource Allocation,mmWave, | en |
| dc.relation.page | 98 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2015-01-07 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 電信工程學研究所 | zh_TW |
| 顯示於系所單位： | 電信工程學研究所 | |
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