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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 廖婉君(Wanjiun Liao) | |
dc.contributor.author | Yi-Han Chiang | en |
dc.contributor.author | 江易翰 | zh_TW |
dc.date.accessioned | 2021-07-11T14:38:50Z | - |
dc.date.available | 2022-08-29 | |
dc.date.copyright | 2017-08-29 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017-07-05 | |
dc.identifier.citation | [1] G. Auer et al., “D2.3: Energy efficiency analysis of the reference systems, areas of improvements and target breakdown,” FP7 EARTH, Tech. Rep. INFSO-ICT-247733, Nov. 2010. [Online]. Available: https://bscw.ict-earth.eu/pub/bscw.cgi/d71252/EARTH_WP2_D2.3_v2.pdf
[2] A. Fehske, G. Fettweis, J. Malmodin, and G. Biczok, “The global footprint of mobile communications: The ecological and economic perspective,” IEEE Commun. Mag., vol. 49, no. 8, pp. 55–62, Aug. 2011. [3] Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2016–2021, Feb. 2017. [Online]. Available: http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-index-vni/mobile-white-paper-c11-520862.pdf [4] W. Wang and G. Shen, “Energy efficiency of heterogeneous cellular network,” in IEEE VTC 2010 Fall, Ottawa, Canada, Sept. 2010. [5] F. Richter, A. Fehske, P. Marsch, and G. Fettweis, “Traffic demand and energy efficiency in heterogeneous cellular mobile radio networks,” in IEEE VTC 2010 Spring, Taipei, Taiwan, May 2010. [6] Y. S. Soh, T. Quek, M. Kountouris, and H. Shin, “Energy efficient heterogeneous cellular networks,” IEEE J. Sel. Areas Commun., vol. 31, no. 5, pp. 840–850, May 2013. [7] G. Auer, V. Giannini, C. Desset, I. Godor, P. Skillermark, M. Olsson, M. Imran, D. Sabella, M. Gonzalez, O. Blume, and A. Fehske, “How much energy is needed to run a wireless network?” IEEE Wireless Commun., vol. 18, no. 5, pp. 40–49, Oct. 2011. [8] 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 Commun. Mag., vol. 50, no. 2, pp. 148–155, Feb. 2012. [9] Z. Niu, Y. Wu, J. Gong, and Z. Yang, “Cell zooming for cost-efficient green cellular networks,” IEEE Commun. Mag., vol. 48, no. 11, pp. 74–79, Nov. 2010. [10] T. Han and N. Ansari, “On greening cellular networks via multicell cooperation,” IEEE Wireless Commun., vol. 20, no. 1, pp. 82–89, Feb. 2013. [11] Z. Hasan, H. Boostanimehr, and V. Bhargava, “Green cellular networks: A survey, some research issues and challenges,” IEEE Commun. Surveys Tuts., vol. 13, no. 4, pp. 524–540, Fourth quarter 2011. [12] J. Wu, Y. Zhang, M. Zukerman, and E.-N. Yung, “Energy-efficient base-stations sleep-mode techniques in green cellular networks: A survey,” IEEE Commun. Surveys Tuts., vol. 17, no. 2, pp. 803–826, Second quarter 2015. [13] S. Han, C. Yang, G. Wang, and M. Lei, “On the energy efficiency of base station sleeping with multicell cooperative transmission,” in IEEE PIMRC 2011, Toronto, Canada, Sept. 2011. [14] G. Cili, H. Yanikomeroglu, and F. Yu, “Cell switch off technique combined with coordinated multi-point (CoMP) transmission for energy efficiency in beyond-LTE cellular networks,” in IEEE ICC 2012, Ottawa, Canada, Jun. 2012. [15] K. Huq, S. Mumtaz, M. Alam, A. Radwan, and J. Rodriguez, “Energy efficient CoMP transmission in LTE-Advanced,” in IEEE GC Wkshps 2012, Anaheim, California, USA, Dec. 2012. [16] Y. Li, Y. Ma, Y. Wang, and W. Zhao, “Base station sleeping with dynamical clustering strategy of CoMP in LTE-Advanced,” in IEEE GreenCom-iThings-CPSCom 2013, Beijing, China, Aug. 2013. [17] D. P. Williamson and D. B. Shmoys, The design of approximation algorithms. Cambridge University Press, 2011. [18] V. Arya, N. Garg, R. Khandekar, A. Meyerson, K. Munagala, and V. Pandit, “Local search heuristics for k-median and facility location problems,” SIAM Journal on Computing, vol. 33, no. 3, pp. 544–562, Mar. 2004. [19] M. R. Garey and D. S. Johnson, Computers and Intractability; A Guide to the Theory of NPCompleteness. New York, NY, USA: W. H. Freeman & Co., 1990. [20] C. Chekuri and S. Khanna, “A polynomial time approximation scheme for the multiple knapsack problem,” SIAM Journal on Computing, vol. 35, no. 3, pp. 713–728, 2005. [21] P. Marsch and G. Fettweis, “Static clustering for cooperative multi-point (CoMP) in mobile communications,” in IEEE ICC 2011, Kyoto, Japan, Jun. 2011. [22] D. Lopez-Perez, I. Guvenc, G. de la Roche, M. Kountouris, T. Q. S. Quek, and J. Zhang, “Enhanced intercell interference coordination challenges in heterogeneous networks,” IEEE Wireless Commun., vol. 18, no. 3, pp. 22–30, Jun. 2011. [23] Y. H. Nam, Y. Akimoto, Y. Kim, M. i. Lee, K. Bhattad, and A. Ekpenyong, “Evolution of reference signals for LTE-advanced systems,” IEEE Commun. Mag., vol. 50, no. 2, pp. 132–138, Feb. 2012. [24] H. Holtkamp, G. Auer, S. Bazzi, and H. Haas, “Minimizing base station power consumption,” IEEE J. Sel. Areas Commun., vol. 32, no. 2, pp. 297–306, Feb. 2014. [25] A. Papadogiannis, D. Gesbert, and E. Hardouin, “A dynamic clustering approach in wireless networks with multi-cell cooperative processing,” in IEEE ICC 2008, Beijing, China, May 2008. [26] 3GPP, “Further advancements for E-UTRA physical layer aspects,” 3rd Generation Partnership Project (3GPP), TR 36.814, Mar. 2010. [Online]. Available: http://www.3gpp.org/ftp/Specs/html-info/36814.htm [27] H. A. H. Hassan, L. Nuaymi, and A. Pelov, “Classification of renewable energy scenarios and objectives for cellular networks,” in IEEE PIMRC 2013, London, UK, Sept. 2013. [28] D. Ng, E. Lo, and R. Schober, “Energy-efficient resource allocation in OFDMA systems with hybrid energy harvesting base station,” IEEE Trans. Wireless Commun., vol. 12, no. 7, pp. 3412–3427, Jul. 2013. [29] A. Lalitha, S. Mondal, S. K. V, and V. Sharma, “Power-optimal scheduling for a green base station with delay constraints,” in IEEE NCC 2013, New Delhi, India, Feb. 2013. [30] D. Niyato, X. Lu, and P. Wang, “Adaptive power management for wireless base stations in a smart grid environment,” IEEE Wireless Commun., vol. 19, no. 6, pp. 44–51, Dec. 2012. [31] T. Han and N. Ansari, “On optimizing green energy utilization for cellular networks with hybrid energy supplies,” IEEE Trans. Wireless Commun., vol. 12, no. 8, pp. 3872–3882, Aug. 2013. [32] C. Hu, J. Gong, X. Wang, S. Zhou, and Z. Niu, “Optimal green energy utilization in MIMO systems with hybrid energy supplies,” IEEE Trans. Veh. Technol., vol. 64, no. 8, pp. 3675–3688, Aug. 2015. [33] T. Han and N. Ansari, “Powering mobile networks with green energy,” IEEE Wireless Commun., vol. 21, no. 1, pp. 90–96, Feb. 2014. [34] P. Marsch and G. P. Fettweis, Coordinated multi-point in mobile communications: from theory to practice. Cambridge University Press, 2011. [35] Y.-K. Chia, S. Sun, and R. Zhang, “Energy cooperation in cellular networks with renewable powered base stations,” IEEE Trans. Wireless Commun., vol. 13, no. 12, pp. 6996–7010, Dec. 2014. [36] S. Lakshminarayana, T. Quek, and H. Poor, “Cooperation and storage tradeoffs in power grids with renewable energy resources,” IEEE J. Sel. Areas Commun., vol. 32, no. 7, pp. 1386–1397, Jul. 2014. [37] Y.-H. Chiang and W. Liao, “Renewable energy aware cluster formation for CoMP transmission in green cellular networks,” in IEEE GLOBECOM 2014, Austin, TX, USA, Dec. 2014. [38] R. Ramamonjison, A. Haghnegahdar, and V. K. Bhargava, “Joint optimization of clustering and cooperative beamforming in green cognitive wireless networks,” IEEE Trans. Wireless Commun., vol. 13, no. 2, pp. 982–997, Feb. 2014. [39] D. W. K. Ng and R. Schober, “Secure and green SWIPT in distributed antenna networks with limited backhaul capacity,” IEEE Trans. Wireless Commun., vol. 14, no. 9, pp. 5082–5097, Sept. 2015. [40] H. Kim, K. Kim, Y. Han, and S. Yun, “A proportional fair scheduling for multicarrier transmission systems,” in IEEE VTC 2004 Fall, Los Angeles, CA, USA, Sept. 2004. [41] (2015, Feb.) PVWatts Calculator. [Online]. Available: http://pvwatts.nrel.gov/ [42] J. Zhao and Z. Lei, “Clustering methods for base station cooperation,” in IEEE WCNC 2012, Paris, France, Apr. 2012. [43] H. Sun, X. Zhang, and W. Fang, “Dynamic cell clustering design for realistic coordinated multipoint downlink transmission,” in IEEE PIMRC 2011, Toronto, Canada, Sept. 2011. [44] S. Brueck, L. Zhao, J. Giese, and M. Amin, “Centralized scheduling for joint transmission coordinated multi-point in LTE-Advanced,” in International ITG Workshop on Smart Antennas (WSA) 2010, Bremen, Germany, Feb. 2010. [45] N. Golrezaei, K. Shanmugam, A. Dimakis, A. Molisch, and G. Caire, “Femtocaching: Wireless video content delivery through distributed caching helpers,” in IEEE INFOCOM 2012, Orlando, Florida, USA, Mar. 2012. [46] X. Wang, M. Chen, T. Taleb, A. Ksentini, and V. Leung, “Cache in the air: exploiting content caching and delivery techniques for 5G systems,” IEEE Commun. Mag., vol. 52, no. 2, pp. 131–139, Feb. 2014. [47] B. Perabathini, E. Baştuğ, M. Kountouris, M. Debbah, and A. Conte, “Caching on the edge: a green perspective for 5G networks,” in IEEE ICC 2015, London, UK, Jun. 2015. [48] C. Yang, Z. Chen, Y. Yao, B. Xia, and H. Liu, “Energy efficiency in wireless cooperative caching networks,” in IEEE ICC 2014, Sydney, Australia, Jun. 2014. [49] K. Poularakis, G. Iosifidis, and L. Tassiulas, “Joint caching and base station activation for green heterogeneous cellular networks,” in IEEE ICC 2015, London, UK, Jun. 2015. [50] X. Li, X. Wang, S. Xiao, and V. Leung, “Delay performance analysis of cooperative cell caching in future mobile networks,” in IEEE ICC 2015, London, UK, Jun. 2015. [51] K. Poularakis, G. Iosifidis, A. Argyriou, and L. Tassiulas, “Video delivery over heterogeneous cellular networks: Optimizing cost and performance,” in IEEE INFOCOM 2014, Toronto, Canada, Apr. 2014. [52] F. Malandrino, M. Kurant, A. Markopoulou, C. Westphal, and U. Kozat, “Proactive seeding for information cascades in cellular networks,” in IEEE INFOCOM 2012, Orlando, Florida, USA, Mar. 2012. [53] S. Tombaz, P. Monti, K. Wang, A. Vastberg, M. Forzati, and J. Zander, “Impact of backhauling power consumption on the deployment of heterogeneous mobile networks,” in IEEE GLOBECOM 2011, Houston, Texas, USA, Dec. 2011. [54] L. Breslau, P. Cao, L. Fan, G. Phillips, and S. Shenker, “Web caching and Zipf-like distributions: evidence and implications,” in IEEE INFOCOM 1999, New York, NY, USA, Mar. 1999. [55] H. Chen, Y. Jiang, J. Xu, and H. Hu, “Energy-efficient coordinated scheduling mechanism for cellular communication systems with multiple component carriers,” IEEE J. Sel. Areas Commun., vol. 31, no. 5, pp. 959–968, May 2013. [56] J. Llorca, A. Tulino, M. Varvello, J. Esteban, and D. Perino, “Energy efficient dynamic content distribution,” IEEE J. Sel. Areas Commun., vol. 33, no. 12, pp. 2826–2836, Dec 2015. [57] H. Kellerer, U. Pferschy, and D. Pisinger, Knapsack problems. Springer Berlin Heidelberg, 2004. [58] T. H. Cormen, C. Stein, R. L. Rivest, and C. E. Leiserson, Introduction to Algorithms, 2nd ed. McGraw-Hill Higher Education, 2001. | |
dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/77980 | - |
dc.description.abstract | 隨著全球暖化問題的日趨惡化,節約能源的議題在行動通訊系統中的重要性亦與日俱增。由小型基地台所組成的異質網路(HetNets),因其具有較低的運行和傳輸的功率消耗,節能效益是有望提升的。然而,小型基地台的大量佈建,無可避免地將帶來基地台間的干擾問題。為了能夠提升網路的節能效益,但同時有效地抑制干擾問題所帶來的負面影響,基於多基地台的睡眠控制機制和多點協調(CoMP)叢集共同設計的多基地台合作,可被視為是未來異質網路綠能化的關鍵技術。
現行的許多前瞻性節能技術,亦可和多基地台合作做結合,以進一步提升異質網路的綠能化。為了深入探討多基地台合作的節能效益,以及其潛在的應用可行性,本論文將著重在解決下列三個重要議題: 1) 首先,我們關注多基地台合作問題的本質,並探討其在給定傳輸功率或給定傳輸功率預算的狀況下,個別所帶來的問題影響與變化。 2) 其次,隨著能源汲取技術的日益精進,我們 引進了混合能源(電力網和再生能源皆可使用的場景),並研究如何在異質網路中實現多基地台合作與混合能源的共同設計。 3) 其三,多基地台合作中的多點協調叢集,會帶來額外的網路後端傳輸之能耗。為此,我們考慮基地台具有緩存裝置的狀況,並討論如何和多基地台合作做結合,設計出非共享式、或共享式的內容緩存機制,以有效減低這個部分的損失。 為了解決上述若干高複雜度的最佳化問題,我們設計了演算法以尋求近似解,並證明出我們所提出的解法能夠量化出近似解與最佳解之間的差距。根據我們的分析結果,我們可以進一步觀察出一些對於上述的差距有直接影響的系統相關因素,此發現將可為未來異質網路多基地台合作的設計者帶來一些啟發。我們的模擬結果顯示出了多基地台合作對於異質網路綠能化的重要性,而我們所提出的解決方案,亦能夠帶來顯著的節能效益。此外,透過傳輸功率的適應、或是混合能源、內容緩存的使用,和多基地台合作的共同設計皆能更進一步有效地增強節能效益,也再度說明了在異質網路下多基地台合作扮演著重要的綠能角色。 | zh_TW |
dc.description.abstract | Energy saving in cellular systems is increasingly important due to ever-deteriorating global warming. Heterogeneous networks (HetNets) composed of multiple tiers of cells can attain energy savings thanks to the lower operational and transmit power consumptions of small cells. To address the inter-cell interference problem yet achieving network energy conservation, multicell cooperation facilitating coordinated multipoint (CoMP) transmission and base station (BS) sleeping control paves a way toward future green HetNets. Furthermore, various energy-saving techniques can be applied to enhance network greenness, which should be jointly designed with the multicell cooperation. The contribution of this dissertation is three-fold:
1) First, we focus on the fundamentals of multicell cooperation in green HetNets, with or without transmit power adaptation. 2) Second, with the introduction of hybrid energy sources (i.e., both the electrical grid and green energy are available), we investigate how green multicell cooperation can be achieved in HetNets facilitated with hybrid energy sources. 3) Third, to alleviate the induced backhaul power consumption incurred by CoMP transmission, we study how green multicell cooperation and shareable caching in HetNets can be achieved. In fact, the essence of multicell cooperation in HetNets poses difficulties to solve optimally. From the above studies, we learned about how to perform multicell cooperation in HetNets for energy savings. Moreover, the applicability of transmit power adaptation, hybrid energy sources, and content caching, to multicell cooperation are also investigated in this dissertation, which are shown to further enhance the greenness of HetNets. | en |
dc.description.provenance | Made available in DSpace on 2021-07-11T14:38:50Z (GMT). No. of bitstreams: 1 ntu-106-D99942013-1.pdf: 2711581 bytes, checksum: f6a36909782c92c782396a6e00b6c787 (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | 口試委員會審定書i
誌謝ii 中文摘要iii 英文摘要v Contents vii List of Figures xi List of Tables xiii 1 Introduction 1 1.1 Green Heterogeneous Networks (HetNets) . . . . . . . . . . . . . . . . . . . . . . . 1 1.2 Multicell Cooperation: Joint BS Sleeping Control and CoMP Clustering . . . . . . . 2 1.2.1 BS Sleeping Control . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 1.2.2 Coordinated Multipoint (CoMP) Clustering . . . . . . . . . . . . . . . . . . 2 1.2.3 The Tradeoff Relationship . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2.4 Related Works . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 1.3 Notations and Definitions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2 Green Multicell Cooperation in HetNets (GMOON) 9 2.1 GMOON with No Transmit Power Adaptation . . . . . . . . . . . . . . . . . . . . . 10 2.1.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2.1.2 Problem Formulation (GMOON-1) . . . . . . . . . . . . . . . . . . . . . . 11 2.1.3 Algorithm Design (LSMC) . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.1.4 Performance Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 2.2 GMOON with Transmit Power Adaptation . . . . . . . . . . . . . . . . . . . . . . . 26 2.2.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 2.2.2 Problem Formulation (GMOON-2) . . . . . . . . . . . . . . . . . . . . . . 27 2.2.3 Algorithm Design (PSLA) . . . . . . . . . . . . . . . . . . . . . . . . . . . 29 2.2.4 Performance Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 2.3 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 3 Green Multicell Cooperation in HetNets with Hybrid Energy Sources 39 3.1 GMOON with No Renewable Energy Cooperation . . . . . . . . . . . . . . . . . . 40 3.1.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 3.1.2 Problem Formulation (GMOON-3) . . . . . . . . . . . . . . . . . . . . . . 42 3.1.3 Algorithm Design (RED & MCS) . . . . . . . . . . . . . . . . . . . . . . . 43 3.1.4 Performance Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47 3.2 GMOON with Renewable Energy Cooperation . . . . . . . . . . . . . . . . . . . . 50 3.2.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 51 3.2.2 Problem Formulation (GMOON-4) . . . . . . . . . . . . . . . . . . . . . . 54 3.2.3 Algorithm Design (GGEA) . . . . . . . . . . . . . . . . . . . . . . . . . . . 58 3.2.4 Performance Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 61 3.3 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 67 4 Green Multicell Cooperation in HetNets with Content Caching 69 4.1 GMOON with Non-Shareable Caching . . . . . . . . . . . . . . . . . . . . . . . . . 70 4.1.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 70 4.1.2 Problem Formulation (GMOON-5) . . . . . . . . . . . . . . . . . . . . . . 73 4.1.3 Algorithm Design (GFP) . . . . . . . . . . . . . . . . . . . . . . . . . . . . 76 4.1.4 Performance Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 78 4.2 GMOON with Shareable Caching . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 4.2.1 System Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 4.2.2 Problem Formulation (GMOON-6) . . . . . . . . . . . . . . . . . . . . . . 87 4.2.3 Algorithm Design (GGSC) . . . . . . . . . . . . . . . . . . . . . . . . . . . 90 4.2.4 Performance Evaluation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 4.3 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 5 Conclusion 105 Appendix A Proof of Lemma 2.1 107 B Proof of Lemma 2.2 109 C Proof of Lemma 2.4 112 D Proof of Lemma 2.5 113 E Proof of Lemma 2.6 114 F Proof of Proposition 3.1 115 Bibliography 119 | |
dc.language.iso | en | |
dc.title | 異質網路下多基地台合作之綠能化及其節能應用 | zh_TW |
dc.title | Green Multicell Cooperation in Heterogeneous Networks and Its Energy-Saving Applications | en |
dc.type | Thesis | |
dc.date.schoolyear | 105-2 | |
dc.description.degree | 博士 | |
dc.contributor.oralexamcommittee | 林宗男(Tsungnan Lin),洪樂文(Yao-Win Peter Hong),曾煜棋(Yu-Chee Tseng),王蒞君(Li-Chun Wang),逄愛君(Ai-Chun Pang) | |
dc.subject.keyword | 異質網路(HetNet),基地台睡眠控制,多點協調(CoMP)叢集,傳輸功率適應,混合能源,內容緩存, | zh_TW |
dc.subject.keyword | Heterogeneous network (HetNet),BS sleeping control,coordinated multipoint (CoMP) clustering,transmit power adaptation,hybrid energy sources,content caching, | en |
dc.relation.page | 124 | |
dc.identifier.doi | 10.6342/NTU201701294 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2017-07-06 | |
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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