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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 蔡志宏(Zse-Hong Tsai) | |
| dc.contributor.author | Chien-Te Tung | en |
| dc.contributor.author | 董建德 | zh_TW |
| dc.date.accessioned | 2021-06-17T00:13:24Z | - |
| dc.date.available | 2012-07-27 | |
| dc.date.copyright | 2012-07-27 | |
| dc.date.issued | 2012 | |
| dc.date.submitted | 2012-07-09 | |
| dc.identifier.citation | [1] Cisco, http://www.cisco.com/en/US/solutions/
[2] G. Yuan, et al., “Carrier aggregation for LTE-advanced mobile communication systems,” IEEE Commun. Mag., pp.88-93, February 2010. [3] C. Han, et al., “Green radio: radio techniques to enable energy-efficient wireless networks,” IEEE Commun. Mag., pp.46-54, June 2011. [4] Z. Niu, et al., “Cell zooming for cost-efficient green cellular networks,” IEEE Commun. Mag., pp.74-79, November 2010. [5] V. Mancuso and S. Alouf, “Reducing costs and pollution in cellular networks,” IEEE Commun. Mag., pp.63-71, August 2011. [6] L.M.Correia , et al., “Challenges and enabling technologies for energy aware mobile radio networks,” IEEE Commun. Mag., pp.66-72, November 2010. [7] Y. Chen, S. Zhang, and S. Xu, “Characterizing energy efficiency and deployment efficiency relations for green architecture design,” in Proc. IEEE, ICC, May 2010, pp. 1-5. [8] C. Y. Wang, R. S. Cheng, K. B. Letaief, and R. D. Murch, “Multiuser OFDM with adaptive subcarrier, bit and power allocation,” IEEE J. Select. Areas Commun., vol. 17, pp. 1747-1757, October. 1999. [9] D. Kivanc, G. Li, and H. Liu, “Computationally efficient bandwidth allocation and power control for OFDMA,” IEEE Trans. Wireless Commun., vol. 2, No. 6, November 2003. [10] M. Ergen, S. Coleri, and P. Varaiya, “QoS aware adaptive resource allocation techniques for fair scheduling in OFDMA based broadband wireless access systems,” IEEE Trans. Broadcasting, vol. 49, No. 4, December 2003. [11] G. Miao et al., “Low- complexity energy-efficient OFDMA,” in Proc. IEEE, ICC, June 2009, pp. 1-5. [12] C. Xiong et al., “Energy-efficiency resource allocation in OFDMA networks,” in Proc. IEEE Globecom, December 2011, pp. 1-5. [13] Z. Shen, J. G. Andrews, and Brian L. Evans, “Optimal power allocation in multiuser OFDM systems,” in Proc. IEEE Globecom, December 2003, pp. 1-5. [14] R. Madan, S. P. Boyd, and S. Lall, “Fast algorithms for resource allocation in wireless cellular networks,” IEEE/ACM Trans. Networking, vol. 18, No. 3, June 2010. [15] D. Mcqqen, “The momentum behind LTE adoption,” IEEE Commun. Mag., pp.44-45, February 2009. [16] K. Bogineni, et al. “LTE PART 1: Core network,” IEEE Commun. Mag., pp.40-43, February 2009. [17] P. Bhat, et al. “LTE-Advanced: An Operator Perspective,” IEEE Commun. Mag., pp.104-114, February 2012. [18] Guangxiang, et al. “Carrier aggregation for LTE-Advanced mobile communication systems,” IEEE Commun. Mag., pp.88-93, February 2010. [19] Ericsson, http://www.ericsson .com/ [20] A. Goldsmith, Wireless Communication. Cambridge, U.K.: Cambridge University Press, 2005. [21] F. Khan, LTE for 4G Mobile Broadband. Cambridge, U.K.: Cambridge University Press, 2009. [22] D. Astely, et al. “LTE: The evolution of mobile broadband,” IEEE Commun. Mag., pp.44-51, April 2009. [23] C. Wengerter , et al. “Fairness and throughput analysis for generalized proportional fair frequency scheduling in OFDMA,” in Proc. IEEE VTC, 2005-Spring, pp. 1903-1907 Vol. 3. [24] G. J. Foschini and J. Salz, “Digital communications over fading radio channels,” Bell Syst. Tech. J., pp.429-456, 1983 [25] E. B. Rodrigues and F. Casadevall, “Control of the trade-off between resource efficiency and user fairness in wireless networks using utility-based adaptive resource allocation,” IEEE Commun. Mag., pp.90-98, September 2011. [26] R. Jain, D. Chiu and W. Hawe, “A quantitative measure of fairness and discrimination for resource allocation in shared computer system,” DEC Technical Report 301, 1984 [27] D. Gross, Fundamentals of Queueing Theory .Wiley, John &Sons, 2011. [28] D. Bertsekas, R. Gallager, Data Networks. Prentice Hall,1992. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/65842 | - |
| dc.description.abstract | 未來第四代行動通訊系統，為了滿足使用者的服務品質，整合了多載波的概念。雖然多載波可以滿足使用者在尖峰時刻的服務需求，但在非此時段，不需要多個載波即可滿足使用者的服務品質，因此基地台會虛耗非主要載波的耗能。隨著低碳化時代的來臨，對綠色基地台的需求越需迫切。但傳統的資源分配問題只注重動態傳輸功率或系統效能的最佳化，並未考慮載波基本耗能的節電，因此無法解決基地台的節電問題。
本論文考慮雙載波系統，並在滿足使用者的頻寬最低需求下，根據流量動態開關第二個載波，因此我們不會虛耗第二個載波的基本耗能。除此，我們也考慮了兩種傳統的資源分配方法，並討論他們的優缺點，以及如何應用於多載波的節能基地台。本研究模擬結果，證實了我們的系統滿足了使用者頻寬的最低需求，並且整體系統的公平性以及使用者的被阻擋機率都可維持在不錯的水準。最重要的是，我們測試了兩種不同的非均質性的波松過程，均達到預期的省電效果。 | zh_TW |
| dc.description.abstract | To satisfy the growing demands in the quality of services of wireless users, future 4-th generation (4G) communication systems are expected to embrace the concept of the multiple component carriers. Though the minimum service requirement can be better maintained in the rush hours with multiple component carriers, the energy consumption due to the use of additional component carriers beyond primary component carrier may be wasted in non-rush hours. However, the traditional radio resource allocation problem focuses only on optimizing the dynamic transmission power and the system performance. As a result, the key related power optimization problem remains unsolved.
In this thesis, we consider a cellular system with dual component carriers. We allow the system to dynamically turn on and turn off the secondary component carrier according to the traffic load while maintain the users’ quality of service. Besides, we also compare two traditional allocation approaches, discussing their advantages and disadvantages, and show how to utilize them into green radio base stations with multiple carriers. Simulation results show that our energy-saving wireless system can successfully satisfy the users’ minimum capacity requirement, while both the blocking probability and fairness of the system can also be maintained at an acceptable level. Most importantly, we employ two different non-homogeneous Poisson arrival processes to test the energy-saving wireless system, and simulation results show that our system saves more than 40 percent than the system without carrier activation algorithm in two different scenarios, if the ratio of heavy traffic hours and light traffic hours is about 1:1. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T00:13:24Z (GMT). No. of bitstreams: 1 ntu-101-R99942051-1.pdf: 1228343 bytes, checksum: acee8c93a79914fde4c59e14b566e32f (MD5) Previous issue date: 2012 | en |
| dc.description.tableofcontents | Chapter1 Introduction 1
1.1 Motivation and Background 1 1.2 Related Works 2 1.3 Problem Description 4 1.4 Organization of the Thesis 6 Chapter2 The Considered Wireless Network 8 2.1 Overview of the LTE-Based Wireless Cellular Network 8 2.2 The Feature of Carrier Aggregation 9 2.3 The OFDMA Technology 11 2.4 The Wireless User Classification 14 Chapter3 System Model and Energy Saving Algorithms 17 3.1 System Model 17 3.2 The Call Admission Control Algorithm 18 3.3 The Algorithms of Resource Allocation 20 3.3.1 Introduction to Resource Allocation Optimization Problems 20 3.3.2 The Rate Adaptive Allocation Optimization Approach 21 3.3.3 The Marginal Adaptive Allocation Optimization Approach 29 3.4 The Algorithm of Carrier Activation 34 Chapter4 Simulation Results 40 4.1 Simulation Environment 40 4.2 Simulation Results 41 4.2.1 Comparison of RA, MA and PF Methods of Scenario 1 42 4.2.2 Comparison of RA, MA and PF Methods of Scenario 2 50 4.2.3 Comparison of the System Fairness between Different Methods 57 Chapter5 Conclusion and Future Work 60 5.1 Conclusion 60 5.2 Future Work 61 References 62 | |
| dc.language.iso | en | |
| dc.subject | 多載波綠色基地台 | zh_TW |
| dc.subject | 資源分配演算法 | zh_TW |
| dc.subject | multiple carriers green radio base station | en |
| dc.subject | resource allocation | en |
| dc.title | 一種針對多載波綠色基地台之省電機制 | zh_TW |
| dc.title | An Energy Saving Mechanism for the Green Radio Base Station | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 100-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 曹恆偉(Hen-Wai Tsao),林宗男(Tsung-Nan Lin),馮輝文(Huei-Wen Ferng) | |
| dc.subject.keyword | 多載波綠色基地台,資源分配演算法, | zh_TW |
| dc.subject.keyword | multiple carriers green radio base station,resource allocation, | en |
| dc.relation.page | 65 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2012-07-10 | |
| 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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