分散式感知無線電頻道挑選及資料傳輸策略之研究

以作者查詢圖書館館藏

、以作者查詢臺灣博碩士

、以作者查詢全國書目

、勘誤回報

、線上人數：15

、訪客IP：18.222.4.44

姓名

廖柏穎(Po-Yin Liao) 查詢紙本館藏

畢業系所

通訊工程學系

論文名稱

分散式感知無線電頻道挑選及資料傳輸策略之研究
(Distributed Channel Selection and Data Transmission Strategies in Cognitive Radio Network)

相關論文

★ 應用MSPP至DWDM都會光纖網路的設計	★ 光網路與WiMAX整合架構研究及其簡化雛型實驗
★ 以Linux系統為基礎之NAT效能優化研究及其實作	★ 光波長劃分多工網路之路徑保護機制研究
★ 標籤交換網路下具有服務品質路由安排之研究	★ 以訊務相關性為基礎的整合性服務可調整QoS排程器之研究
★ 以群體播送支援IPv6環境下移動式網路連結更新之研究	★ 無線區域網路資源動態分配之效能研究
★ 在微觀移動環境下有效資源保留之路徑管理研究	★ 無線網路交握程序之預先認證方法分析與比較
★ 無線區域網路虛擬允入控制之研究	★ IPv6環境下移動網路之連結更新程序及其效能之研究
★ 具有限數量波長轉換節點的分波多工網路之群播波長分配與容量計算研究	★ 階層化行動式IPv6移動錨點選擇機制研究
★ 具高能量移動節點之叢集式感測網路效能研究	★ 預先註冊之快速換手階層化行動式IPv6研究

檔案

[Endnote RIS 格式]

[Bibtex 格式]

[相關文章]

[文章引用]

[完整記錄]

[館藏目錄]

[檢視]

[下載]

本電子論文使用權限為同意立即開放。
已達開放權限電子全文僅授權使用者為學術研究之目的，進行個人非營利性質之檢索、閱讀、列印。
請遵守中華民國著作權法之相關規定，切勿任意重製、散佈、改作、轉貼、播送，以免觸法。

摘要(中)

近來來由於無線網路技術的快速發展而無線頻譜資源卻有限，為了讓各種無線網路技術不會互相影響，因此無線頻譜的資源分配方式是採用固定頻率的分配方式。但這種分配方式造成頻譜使用效率低落，為了提升頻譜的使用效率，故動態頻譜接取技術(Dynamic Spectrum Access, DSA)成為了近年來熱門的研究主題，而感知無線電(Cognitive Radio, CR)成為了動態頻譜技術(DSA)的其中一項熱門發展重點。
在感知無線電(CR)的研究領域中有許多研究主題，例如頻譜偵測(spectrum sensing)、動態頻譜分配(dynamic spectrum allocation)、CR網路的安全性探討等主題。在這些研究主題中又可分為兩種架構，一種為集中式架構，另一種為分散式架構。集中式架構藉由整合中心(Fusion Center)或是共用控制通道(Common Control Channel, CCC)來收集感知無線電使用者，或稱之為次要使用者(Secondary User, SU)，的資訊並分配無線頻譜資源，但上述集中式方式對整體系統會造成額外負擔。因此本論文基於分散式架構下，提出了無線頻道挑選以及資料傳輸策略之研究。
在本篇論文中，我們提出了兩種類型的通道挑選策略以及探討資料傳輸的效能分析。第一種位移序列通道挑選策略(shift-based channel hopping for continuous rendezvous, SCHCR)，利用提出的序列規則，讓次要使用者(SU)即使在主要使用者(PU)高密度的使用頻譜狀況下也可以讓SU穩定相遇，另外透過競爭方式讓SU之間在同一通道取得使用權，在傳輸資料的部分則提出了續傳架構以及兩種PU出現之應對策略。除此之外，我們基於SCHCR更進一步提出間接(Relay)傳輸機制來提升整體效能。另一種為chip-based的通道調整機制(spectrum adjustment, SA)，基於動態的通道狀況透過分散式的決策方式來達到讓次要使用者(SU)可以有效利用空閒頻譜。在分散式決策的同時，也進一步考量到因換手所造成的負擔以及次要使用者(SU)之間使用通道的公平性。除此之外我們也探討了基於不同參數做頻譜動態調整的決策對於系統效能上的影響以及分析。

摘要(英)

In the recent years, the wireless networking technologies has been developing rapidly while at the same time the wireless networking spectrum is limited to a certain amount. In order to avoid the interference and overlaps among different wireless technologies, the radio electromagnetic spectrum is usually divided into different frequency bands for the deployment by using different wireless access technologies. Additionally, in order to manage the spectrum utilization and provide the wireless services with high quality, the frequency bands are normally regulated by a fixed spectrum assignment policy and each frequency is assigned to the license holders for deploying wireless access service over the large geographical areas. Ordinarily, the assigned spectrum is underutilized due to the policy of exclusive spectrum assignment. Therefore, the dynamic spectrum access (DSA) has been a potential to improve the spectrum utilization, in which cognitive radio (CR) has been one of critical researches in the field.
A growing body of literature has worked on the issues about spectrum sensing, dynamic spectrum allocation, security and so on. Among the topics mentioned above, two kinds of architectures can be categorized: one is the centralized architecture and the other one is the distributed architecture. In the centralized architecture, the secondary users (SU) can be allocated the wireless spectrum through the fusion center or common control channel (CCC). However, the centralized approach may cause a large CR network overhead. Consequently, we propose the strategy of channel selection and data transmission based on distributed architecture.
In this paper, two strategies for channel selection and data transmission mechanism are proposed. The first strategy is shift-based channel hopping for continuous rendezvous (SCHCR). In SCHCR based on the proposed hopping sequence rule, a pair of SUs can rendezvous successfully even under the high PU loading environment and gets the access correctly to transmit data by the competition with other SUs and the proposed continuous transmission structure. In addition, a relay-based mechanism, which is based on SCHCR is proposed to enhance the overall performance. The second strategy is the chip-based distributed spectrum adjustment. Under the dynamic channel conditions, SUs can utilize the spectrum effectively by the distributed spectrum adjustment mechanism. It is noteworthy that the proposed mechanism also considers the fairness among SUs and reduces the overhead caused by switching channel. Furthermore, we discuss and analyze the effect under different decision factors used by spectrum adjustment.

關鍵字(中)

★ 感知無線電
★ 通道挑選
★ 分散式頻譜決策

關鍵字(英)

★ Cognitive Radio Network
★ Channel Selection
★ Distributed Spectrum Decision

論文目次

中文摘要 ii
Abstract iii
Acknowledgements v
List of Figures vii
List of Tables ix
Chapter 1 Introduction 1
1.1 Background 1
1.2 Motivation 2
1.3 Organization of the Dissertation 3
Chapter 2 Overview of Cognitive Radio Technology and Related Works 4
2.1 Rendezvous-based Scheme and Related Research 4
2.2 Auction-based Scheme and Related Research 7
Chapter 3 Proposed Rendezvous-Based Framework 10
3.1 A Channel-hopping Scheme for Rendezvous and Data Delivery 10
3.2 Relay-based SCHCR and Data Delivery 29
3.3 Summary 47
Chapter 4 A Chip-based Distributed Spectrum Adjustment Framework 49
4.1 Adjustment Initiation and Decision 51
4.2 Adjustment Process 53
4.3 Experimental Simulations 56
4.4 Summary 61
Chapter 5 Conclusions and Future Works 62
Bibliography 64
List of Publications 70

參考文獻

[1]I.F. Akyildiz, W.Y Lee, M.C. Vuran and S. Mohanty, "NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey," Computer Networks, vol.50, no.13, pp.2127-2159, 2006.
[2]S. Haykin, "Cognitive Radio: Brain-Empowered Wireless Communications," IEEE Journal on Selected Areas in Communications, vol.23, no.2, pp.201–220, 2005.
[3]T. Forde and L. Doyle, "A TV whitespace ecosystem for licensed cognitive radio," Telecommun. Policy, vol. 37, no. 2/3, pp.130–139, 2013.
[4]C. Cordeiro , K. Challapali and D. Birru, "IEEE 802.22: An introduction to the first wireless standard based on cognitive radios, " Journal of communications, vol. 1, no. 1, 2006.
[5]W. Hu , D. Willkomm , M. Abusubaih , J. Gross , G. Vlantis , M. Gerla and A. Wolisz, "Dynamic frequency hopping communities for efficient IEEE 802.22 operation, " IEEE Commun. Mag., vol. 45, no. 5, pp.80-87, 2007.
[6]FCC, "Facilitating opportunities for flexible, efficient and reliable spectrum use employing cognitive radio technologies: Notice of proposed rule making and order," ET Docket No 03-222, 2003.
[7]W. Wang, J. Cai, A. S. Alfa, A. C. Soong and S. Li, "Adaptive dual-radio spectrum-sensing scheme in cognitive radio networks," Wireless Commun. Mobile Comput., vol. 13, no. 14, pp.1247–1262, 2013.
[8]T Yucek and H. Arslan, "A survey of spectrum sensing algorithms for cognitive radio applications," IEEE Communications Surveys & Tutorials, pp.116–130, 2009.
[9]P. Wang , L. Xiao , S. Zhou and J. Wang, "Optimization of detection time for channel efficiency in cognitive radio systems," Proc. IEEE Wireless Commun. and Networking Conf., pp.111-115, 2007.
[10]Q. Zhao , S. Geirhofer , L. Tong and B. M. Sadler, "Optimal dynamic spectrum access via periodic channel sensing", Proc. IEEE Wireless Commun. and Networking Conf., pp.3-37, 2007.
[11]J. Nieminen, R. Jantti, and L. Qian., "Time synchronization of cognitive radio networks, " IEEE Global Telecommunications (GLOBECOM), pp.1-6, 2009.
[12]S. Eljack, B. Huang, L. Tu, P. Zhang, "Synchronized Multi-Channel Cognitive MAC Protocol with Efficient Solutions for Second Spectrum Access," Ubiquitous, Autonomic and Trusted Computing (UIC-ATC), pp.477-481, 2009.
[13]S. Srishti, G.D. Yacine, S. Aldri and N. Michele, "A reliable and distributed time synchronization for Cognitive Radio Networks," Global Information Infrastructure and Networking Symposium (GIIS), pp.1-4, 2012.
[14]Y. R. Kondareddy and P. Agrawal, "Synchronized MAC Protocol for Multi-hop Cognitive Radio Networks, " IEEE International Conference on Communications (ICC), pp.3198–3202, 2008.
[15]M. Moriyama and T. Fujii, "Novel timing synchronization technique for public safety communication systems employing heterogeneous cognitive radio," Computing, Networking and Communications (ICNC), pp.325-330, 2015.
[16]Q. Zhao and B. Sadler, "A survey of dynamic spectrum access," IEEE Signal Process. Mag., vol. 24, no. 3, pp.79–89, 2007.
[17]S. Geirhofer, L. Tong, and B. Sadler, "Dynamic spectrum access in the time domain: Modeling and exploiting white space," IEEE Commun. Mag., vol. 45, no. 5, pp.66–72, 2007.
[18]Q. Zhao and A. Swami, "A decision-theoretic framework for dynamic spectrum access, " IEEE Wireless Commun. Mag.: Special Issue on Cognitive Wireless Networks, 2007.
[19]Y.C. Wang, "The Analysis of Shift Sequence Based Channel Selection in Cognitive Radio Network," Master Thesis, National Central University, 2011.
[20]Y.W. Chen, P.Y Liao and Y.C. Wang, "A channel-hopping scheme for continuous rendezvous and data delivery in cognitive radio network," Peer-to-Peer Networking and Applications, 2014.
[21]Y.C. Chen, "Efficiency Study of Rendezvous and Data Transmission for Dual-Antenna Devices in Cognitive Radio Network," Master Thesis, National Central University, 2013.
[22]B.T. Huang, "Distributed Spectrum Adjustment Policy for Cognitive Radio Network," Master Thesis, National Central University, 2011.
[23]Y.W. Chen, P.Y Liao and B.T. Huang, "A Chip-Based Distributed Spectrum Adjustment for Fair Access in Cognitive Radio Network," Journal of Internet Technology, 2016.
[24]T. Zhang and X. Yu, "Spectrum Sharing in Cognitive Radio Using Game Theory--A Survey, " The 6th International Conference on Wireless Communications Networking and Mobile Computing, September, pp.1-5, 2010.
[25]E.H. Wassim, S. Haidar and G. Mohsen, "Survey of Security Issues in Cognitive Radio Networks, " Journal of Internet Technology (JIT), vol.12, no.2, pp.181-198, 2011.
[26]A.G. Fragkiadakis, E.Z. Tragos and I.G. Askoxylakis, "A Survey on Security Threats and Detection Techniques in Cognitive Radio Networks," IEEE Communications Surveys and Tutorials 15, pp.428-445, 2013.
[27]A.C. Sumathi and R. Vidhyapriya, "Security in cognitive radio networks - a survey," 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA), pp.114-118, 2012.
[28]J. Li, Z. Feng, Z. Feng and P. Zhang, "A survey of security issues in Cognitive Radio Networks," China Communications, vol. 12, no. 3, pp.132-150, 2015.
[29]NC Theis, RW Thomas and LA DaSilva, "Rendezvous for Cognitive Radios," IEEE Transactions on Mobile Computing, vol.10 no.2, pp.216-227, 2011.
[30]J.P. Sheu C.W. Su and G.Y. Chang, "Asynchronous Quorum-Based Blind Rendezvous Schemes for Cognitive Radio Networks," IEEE Transactions on Communications, vol.64, no.3, pp.918-930, 2016.
[31]G.Y. Chang, J.F. Huang and Y.S. Wang, "Matrix-Based Channel Hopping Algorithms for Cognitive Radio Networks, " IEEE Transactions on Wireless Communications, vol.14, no.5, pp.2755-2768, 2015.
[32]C.M. Chao, H.Y. Fu and L.R. Zhang, "A Fast Rendezvous-Guarantee Channel Hopping Protocol for Cognitive Radio Networks, " IEEE Transactions on Vehicular Technology, vol.64, no.12, pp.5804-5816, 2015.
[33]C Cormio and KR Chowdhury, "Common control channel design for cognitive radio wireless ad hoc networks using adaptive frequency hopping," Ad Hoc Networks, vol.8, pp.430-438, 2010.
[34]MR Kim and SJ Yoo, "Distributed Coordination Protocol for Common Control Channel Selection in Multichannel Ad-Hoc Cognitive Radio Networks," Wireless and Mobile Computing, Networking and Communications(WIMOB), pp.227-232, 2009.
[35]C Cormio and KR Chowdhury, "An adaptive multiple rendezvous control channel for Cognitive Radio wireless ad hoc networks," Pervasive Computing and Communications Workshops (PERCOM Workshops), pp.346-351, 2010.
[36]T. Chen, H. Zhang, G.M. Maggio, I. Chlamtac, "CogMesh: A cluster-based cognitive radio network," Proc. of IEEE DySPAN, pp.168–178, 2007.
[37]T. Chen, H. Zhang, M.D. Katz, Z. Zhou, "Swarm intelligence based dynamic control channel assignment in cogmesh," Proc. of IEEE International Conference on Communications Workshops (ICC Workshops), pp.123–128, 2008.
[38]Q Liu, D Pang, G Hu and X Zhou, "A Neighbor Cooperation Framework for Time-efficient Asynchronous Channel Hopping Rendezvous in Cognitive Radio Networks," Dynamic Spectrum Access Networks (DYSPAN), pp.529-539, 2012.
[39]K Bian and JM Park, "Asynchronous channel hopping for establishing rendezvous in cognitive radio networks," IEEE INFOCOM, pp.236-240, 2011.
[40]MD Silvius, F Ge, A Young, AB MacKenzie and CW Bostian, "Smart Radio: Spectrum Access for First Responders," Proc. SPIE 6980, Wireless Sensing and Processing III, pp.1-12. doi:10.1117/12.777678, 2008.
[41]J Jia and Q Zhang, "Rendezvous Protocols Based on Message Passing in Cognitive Radio Networks," IEEE Transactions on Wireless Communications, vol. 12, no. 11, pp.5594-5606, 2013.
[42]L Yu, H Liu, YW Leung, X Chu and Z Lin, "Multiple radios for effective rendezvous in cognitive radio networks," IEEE International Conference on Communications, ICC, pp.2857-2862, 2013.
[43]V Reguera, EO Guerra, RD Souza, E Fernandez and G Brante, "Short Channel Hopping Sequence Approach to Rendezvous for Cognitive Networks," IEEE Communications Letters, vol.18, no. 2, pp.289-292, 2014.
[44]L DaSilva and I Guerreiro, "Sequence Based Rendezvous for Dynamic Spectrum Access," IEEE Int’l Symp. New Frontiers in Dynamic Spectrum Access Networks, pp.1-7, 2008.
[45]C. Edward, Y. Peh, Y.C. Liang, Y.L. Guan and Y. Zeng, "Cooperative Spectrum Sensing in Cognitive Radio Networks with Weighted Decision Fusion Schemes," IEEE Transactions on Wireless Communications, vol.9, no.12, pp.3838-3847, 2010.
[46]X. Chen, H.H. Chen and W. Meng, "Cooperative Communications for Cognitive Radio Networks — From Theory to Applications," IEEE Communications Surveys & Tutorials, vol.16, no. 3, pp.1180–1192, 2014.
[47]J.So and R.Srikant, "Improving Channel Utilization via Cooperative Spectrum Sensing With Opportunistic Feedback in Cognitive Radio Networks," IEEE Communications Letters, vol.19, vo. 6, pp.1065-1068, 2015.
[48]K.Lamiaa and A. Alagan, "A weighted fusion scheme for cooperative spectrum sensing based on past decisions," Personal Indoor and Mobile Radio Communications (PIMRC), pp.354-358, 2011.
[49]Y. Chen, Y. Wu, B. Wang and K.J. Ray Liu, "Spectrum Auction Games For Multimedia Streaming Over Cognitive Radio Networks," IEEE Transactions on Communications, vol.58, no.8, pp.2381-2390, 2010.
[50]B. Wang, Y. Wu and K.J. Ray Liu, "Game Theory for Cognitive Radio Networks: An Overview," Computer Networks (Elsevier), vol.54, no.14, pp.2537-2561, 2010.
[51]L.C. Wang, C.W. Wang and F. Adachi, "Load-Balancing Spectrum Decision for Cognitive Radio Networks," IEEE Journal on Selected Areas in Communications, vol.29, no.4, pp.757-769, 2011.
[52]H.P. Shiang and Mihaela van der Schaar, "Queuing-based dynamic channel selection for heterogeneous multimedia applications over cognitive radio networks," IEEE Transactions on Multimedia, vol.10, no.5, pp.896-909, 2008.
[53]Y. Yao, S.R. Ngoga, D. Erman and A. Popescu, "Competition-Based Channel Selection for Cognitive Radio Networks," Proc. IEEE Wireless Communications and Networking Conference (WCNC), pp.1432-1437, 2012.
[54]S. Aslam, A. Shahid and K.G. Lee, "Joint Sensor-Node Selection and Channel Allocation Scheme for Cognitive Radio Sensor Networks," Journal of Internet Technology (JIT), vol.14, no.3, pp.453-466, 2013.
[55]IEEE 802.22 Working Group on Wireless Regional Area Networks. http://www.ieee802.org/22/.
[56]ECMA Std. 392 (2012) MAC and PHY for Operation in TV White Space.

指導教授

陳彥文(Yen-Wen Chen)

審核日期

2016-7-13

推文