Relevant bibliographies by topics / Spectrum leasing

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Spectrum leasing'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 March 2023

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Journal articles on the topic "Spectrum leasing"

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Im, Sooyeol, Hyoungsuk Jeon, Seunghee Kim, Jinup Kim, and Hyuckjae Lee. "Dynamic spectrum access based on interruptible spectrum leasing." Wireless Networks 18, no. 7 (2012): 763–70. http://dx.doi.org/10.1007/s11276-012-0431-6.

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Fan, Rongfei, Wen Chen, Hai Jiang, Jianping An, Kai Yang, and Chengwen Xing. "Dynamic Spectrum Leasing With Two Sellers." IEEE Transactions on Vehicular Technology 67, no. 6 (2018): 4852–66. http://dx.doi.org/10.1109/tvt.2018.2806308.

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Elkourdi, Tariq, and Osvaldo Simeone. "Spectrum Leasing Via Cooperative Interference Forwarding." IEEE Transactions on Vehicular Technology 62, no. 3 (2013): 1367–72. http://dx.doi.org/10.1109/tvt.2012.2231971.

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WANG, Lei, Xing-kun XU, Wen-jun XU, Zhi-qiang HE, and Jia-ru LIN. "Novel pricing model for spectrum leasing in secondary spectrum market." Journal of China Universities of Posts and Telecommunications 17, no. 5 (2010): 12–19. http://dx.doi.org/10.1016/s1005-8885(09)60501-x.

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Chiarotto, Davide, Osvaldo Simeone, and Michele Zorzi. "Spectrum Leasing via Cooperative Opportunistic Routing Techniques." IEEE Transactions on Wireless Communications 10, no. 9 (2011): 2960–70. http://dx.doi.org/10.1109/twc.2011.072011.101908.

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Stanojev, Igor, Osvaldo Simeone, Umberto Spagnolini, Yeheskel Bar-Ness, and Raymond L. Pickholtz. "Cooperative ARQ via auction-based spectrum leasing." IEEE Transactions on Communications 58, no. 6 (2010): 1843–56. http://dx.doi.org/10.1109/tcomm.2010.06.080575.

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Syed, Aqeel Raza, and Kok-Lim Alvin Yau. "Spectrum Leasing in Cognitive Radio Networks: A Survey." International Journal of Distributed Sensor Networks 10, no. 2 (2014): 329235. http://dx.doi.org/10.1155/2014/329235.

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Wang, X., K. Ma, Q. Han, Z. Liu, and X. Guan. "Pricing-based spectrum leasing in cognitive radio networks." IET Networks 1, no. 3 (2012): 116. http://dx.doi.org/10.1049/iet-net.2012.0149.

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Simeone, O., I. Stanojev, S. Savazzi, Y. Bar-Ness, U. Spagnolini, and R. Pickholtz. "Spectrum Leasing to Cooperating Secondary Ad Hoc Networks." IEEE Journal on Selected Areas in Communications 26, no. 1 (2008): 203–13. http://dx.doi.org/10.1109/jsac.2008.080118.

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Duan, Lingjie, Jianwei Huang, and Biying Shou. "Duopoly Competition in Dynamic Spectrum Leasing and Pricing." IEEE Transactions on Mobile Computing 11, no. 11 (2012): 1706–19. http://dx.doi.org/10.1109/tmc.2011.213.

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Dissertations / Theses on the topic "Spectrum leasing"

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Hafeez, Maryam. "Game theoretic analysis of dynamic spectrum leasing in large scale wireless networks." Thesis, University of Leeds, 2015. http://etheses.whiterose.ac.uk/10015/.

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In this thesis, the concept of dynamic spectrum leasing has been suggested as a solution to improve the spectral efficiency (SE) of wireless networks while reducing the energy expense. Wireless communication is facing the ever growing challenge of improving information transfer rate. This grand task is inherently coupled with managing the energy costs required to meet the capacity enhancement. To this end, the idea of cooperation among various networks which is inherently supported by the wireless medium, is utilized in this thesis. An intelligent division/sharing of resources between wireless
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Kockan, Sinem. "Admission control and profitability analysis in dynamic spectrum access data networks." Thesis, Boston University, 2013. https://hdl.handle.net/2144/21194.

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Thesis (M.Sc.Eng.) PLEASE NOTE: Boston University Libraries did not receive an Authorization To Manage form for this thesis or dissertation. It is therefore not openly accessible, though it may be available by request. If you are the author or principal advisor of this work and would like to request open access for it, please contact us at open-help@bu.edu. Thank you.<br>Recent regulations by the Federal Communication Commission (FCC) enable network service providers to lease their spectrum to short-term leased secondary users for opportunistic usage. Driven by earlier studies on spectrum leas
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Chiarotto, Davide. "Interference management in wireless networks: MAC Protocols for MIMO Ad Hoc Networks and Cooperative Routing in Cognitive Radio Networks." Doctoral thesis, Università degli studi di Padova, 2011. http://hdl.handle.net/11577/3421991.

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MIMO ad hoc networks and cognitive radio networks have enjoyed great interest in recent years. The performance gains of these frameworks depend on the ability to control the transmissions in the wireless channel. In particular, MIMO ad hoc networks exploit multiuser communications to favor simultaneous transmissions and cognitive radio networks regulate the access of unlicensed users to the licensed network in order to improve the available bandwidth utilization. In both cases, the main limiting factor is represented by the interference that could cause a performance degradation if not properl
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Tapparello, Cristiano. "Design of cooperative networking protocols in wireless networks through stochastic optimization techniques." Doctoral thesis, Università degli studi di Padova, 2012. http://hdl.handle.net/11577/3422948.

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Cooperation among nodes of a wireless ad hoc network has been shown to be effective in improving the efficiency of resource usage, e.g., increasing the network throughput or reducing the energy consumption. In recent years, cooperation has been widely studied both from an information theoretic point of view and from an implementation perspective. However, there are different scenario that have still not been addressed. In this thesis, we consider wireless cooperative multi-hop networks, where nodes cooperate to deliver messages from sources to destinations. The term cooperation assumes differ
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Wu, Yen-Ting, and 吳彥霆. "Analysis of Call Admission Control with Buffer and Spectrum Leasing in Cognitive Radio Networks." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/39990983233546454442.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>105<br>With the increasing requirement for wireless communications and the rapid development of communication technologies, the demands for bandwidth and data transmission rate are growing. On the other hand, the available spectrum is not only scarce but also under-utilized. To improve the utilization of radio spectrum, the concept of Cognitive Radio (CR) is proposed. Cognitive radio, which allows secondary users (SUs) to opportunistically access a spectrum hole which is in the same frequency bands as primary users (PUs), provides an efficient approach to increase th
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Chen, Chih-Hung, and 陳致宏. "Using Stackelberg Game for Performance Analysis of Cooperative Spectrum Leasing in Cognitive Radio Networks." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/03669367906315091092.

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Yu-PingLin and 林裕評. "Spectrum Leasing Game for Cognitive Radio Networks in a Primary System With Adaptive Modulation Schemes." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/25568699412943607225.

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碩士<br>國立成功大學<br>電腦與通信工程研究所<br>98<br>In this thesis, we address the issue of spectrum leasing in the cognitive radio (CR) networks through a game-theoretical approach. In the proposed game model, the primary system using adaptive modulation schemes can lease the licensed spectrum to the secondary one on the condition of not being dropping out, while a secondary system can request an amount of power to transmit in the channel which is leased from the primary one. Thus, a primary user (PU), as being a seller, can determine the optimal leasing price to maximize its revenue at a cost of minimal thr
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Yao-YuLi and 李曜宇. "Dilemma between unlicensed wireless microphone use (Broadcasters) and exclusive LTE operators:A solution of dynamic spectrum leasing mechanism." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/25hfa4.

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碩士<br>國立成功大學<br>電信管理研究所<br>104<br>Abstract The research purpose of the study aims to propose a solution to the interference between wireless microphone users and a LTE operator, as a compensation to the coexisting situation of the services. Pursuing a better spectrum efficiency, he national communication committee (NCC) has re-farmed part of the 700MHz radio band, which was used by the license-exempted wireless microphone users, for LTE download carriers. As secondary users, wireless microphone users are asked to do no harm to the LTE operator signal, and have to endure the interference cause
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Peng, Ssu-Ying, and 彭思穎. "A Study on Call Admission Control with Buffer and Spectrum Leasing for Secondary Users in Cognitive Radio Networks." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/8u7z27.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>107<br>As more and more equipment and devices are pursuing the usage of wireless and mobile networks, the demand for wireless spectrum has increased dramatically. However, as the wireless spectrum is limited resource and usually needs a license issued by the authorities, users need to pay a high cost to use the spectrum. On the other hand, not all users’ data require highly immediacy. For the purpose of improving spectrum utilization, the concept of Cognitive Radio Network (CRN) is proposed, and two types of users, namely the primary user (PU) and secondary user (SU)
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Book chapters on the topic "Spectrum leasing"

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Kim, Junho, Han Cha, and Seong-Lyun Kim. "Spectrum Leasing for Micro-operators Using Blockchain Networks." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-05490-8_7.

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Xing, Xiaoshuang, Hang Liu, Xiuzhen Cheng, Wei Zhou, and Dechang Chen. "Cooperative Spectrum and Infrastructure Leasing on TV Bands." In Wireless Algorithms, Systems, and Applications. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21837-3_61.

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Hafeez, Maryam, and Jaafar Elmirghani. "Dynamic Spectrum Leasing for Cognitive Radio Networks—Modelling and Analysis." In Energy Management in Wireless Cellular and Ad-hoc Networks. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27568-0_10.

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Chen, Peipei, Qinyu Zhang, and Yazhen Ren. "Leasing and Pricing Strategies for Wireless Service Providers in Dynamic Spectrum Sharing." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30493-4_44.

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Malhotra, Meenakshi, and Inderdeep Kaur Aulakh. "Secure Spectrum Leasing in Cognitive Radio Networks via Secure Primary–Secondary User Interaction." In Advances in Intelligent Systems and Computing. Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2656-7_67.

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Handouf, Sara, Essaid Sabir, and Mohammed Sadik. "A Pricing-Based Spectrum Leasing Framework with Adaptive Distributed Learning for Cognitive Radio Networks." In Lecture Notes in Electrical Engineering. Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-990-5_4.

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Yang, Chungang, and Jiandong Li. "Advanced Cognitive Radio-Enabled Spectrum Management." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6571-2.ch018.

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The growing demands of radio spectrum urgently require more efficient and effective spectrum exploitation and management technologies. Cognitive radio technology and its networking not only explores the potential white spectrum resources temporally and geographically, but also enables an extensive efficient utilization and optimization of the current allocated spectrum resources. Therefore, rapid progress has been made in the research on cognitive radio and its networking technologies to facilitate more flexibilities in spectrum utilization and management. In this chapter, the authors first summarize the current various advanced and flexible spectrum management schemes, including spectrum trading, leasing, pricing, and harvesting, and analyze their advantages and disadvantages. Then, they take the viewpoints of both the spectrum marketing perspective and spectrum technical perspective, and they propose the centralized and distributed dynamic spectrum sharing schemes, respectively. In particular, the authors introduce many novel advanced spectrum sharing scheme and summarize the open and possible research problems.
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Sridhar, Varadharajan, Thomas Casey, and Heikki Hämmäinen. "A Causal Model Analysis of Spectrum Management Policies." In Advances in Wireless Technologies and Telecommunication. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-4715-2.ch004.

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Demand for wireless data and Internet services are expected to grow exponentially, worldwide, in the near future. While regulators of advanced countries have often used centralized planning and coordination approach to forecast and allocate the associated spectrum blocks to wireless operators for meeting the demand, it is often ad-hoc in emerging markets dictated by market forces. In this chapter, the authors construct a casual model to represent the different variables that affect spectrum management practices. The authors discuss possible policy options including release of digital dividend spectrum, spectrum refarming, and secondary markets consisting of spectrum leasing, sharing, and trading. Using the causal model structure, the authors trace paths of evolution of spectrum policies, taking an example each for developed and emerging countries. The authors further hypothesize that emerging countries with their unique market structure, legacy of spectrum management, and ex-poste regulation are better suited to create active secondary markets compared to developed markets.
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Conference papers on the topic "Spectrum leasing"

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Duan, Lingjie, Jianwei Huang, and Biying Shou. "Competition with Dynamic Spectrum Leasing." In 2010 IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks (IEEE DySPAN). IEEE, 2010. http://dx.doi.org/10.1109/dyspan.2010.5457903.

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Stanojev, Igor, and Aylin Yener. "Cooperative jamming via spectrum leasing." In 2011 International Symposium of Modeling and Optimization of Mobile, Ad Hoc, and Wireless Networks (WiOpt). IEEE, 2011. http://dx.doi.org/10.1109/wiopt.2011.5930026.

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Chiarotto, Davide, Osvaldo Simeone, and Michele Zorzi. "Spectrum leasing via cooperative opportunistic routing." In 2010 44th Asilomar Conference on Signals, Systems and Computers. IEEE, 2010. http://dx.doi.org/10.1109/acssc.2010.5757709.

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Zhai, Chao, and Wei Zhang. "Spectrum and energy efficient cognitive relay for spectrum leasing." In 2012 IEEE International Conference on Communication Systems (ICCS). IEEE, 2012. http://dx.doi.org/10.1109/iccs.2012.6406146.

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Stanojev, Igor, and Aylin Yener. "Facilitating flexible multihop communication via spectrum leasing." In 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC 2012). IEEE, 2012. http://dx.doi.org/10.1109/pimrc.2012.6362713.

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Afghah, Fatemeh, and Abolfazl Razi. "Cooperative Spectrum Leasing in Cognitive Radio Networks." In 2014 National Wireless Research Collaboration Symposium (NWRCS). IEEE, 2014. http://dx.doi.org/10.1109/nwrcs.2014.24.

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Xu, Yuzhe, Liping Wang, Carlo Fischione, and Viktoria Fodor. "Distributed spectrum leasing via vertical cooperation in spectrum sharing networks." In 9th International Conference on Cognitive Radio Oriented Wireless Networks. ICST, 2014. http://dx.doi.org/10.4108/icst.crowncom.2014.255706.

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Mahdi Mousavi Toroujeni, Seyed, Seyed Mohammad Sajad Sadough, and Seyed Ali Ghorashi. "Time-frequency spectrum leasing for OFDM-based Dynamic Spectrum Sharing systems." In 2010 Wireless Advanced (WiAd) (Formerly known as SPWC). IEEE, 2010. http://dx.doi.org/10.1109/wiad.2010.5544871.

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Ghamari Adian, Mehdi, and Hassan Aghaeinia. "Opportunistic spectrum leasing in cooperative cognitive radio networks." In 2012 20th Iranian Conference on Electrical Engineering (ICEE). IEEE, 2012. http://dx.doi.org/10.1109/iraniancee.2012.6292558.

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Yang, Chungang, and Jiandong Li. "Cooperative Spectrum Leasing to Femtocells with Interference Compensation." In 2014 IEEE Vehicular Technology Conference (VTC 2014-Spring). IEEE, 2014. http://dx.doi.org/10.1109/vtcspring.2014.7022865.

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