Relevant bibliographies by topics / Unlicensed spectrum use

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

Academic literature on the topic 'Unlicensed spectrum use'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Unlicensed spectrum use"

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Nicholls, Rob. "Spectrum management issues for heterogeneous networks in commons spectrum." info 18, no. 4 (June 13, 2016): 1–11. http://dx.doi.org/10.1108/info-02-2016-0010.

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Purpose The purpose of this paper is to analyse some of the spectrum management policy implications of an evolving set of wireless technologies. Specially, deployment of heterogeneous networks (HetNets) as part of the rollout of long-term evolution networks and their expected use as the heart of next-generation services raises the question as to whether such networks should lead to any spectrum management policy changes. Design/methodology/approach The paper describes the use and variety of HetNets when using licensed and unlicensed or commons spectrum. Findings The paper demonstrates that there is little need to change current spectrum licensing regimes to deal with these networks in a licensed spectrum. However, it also shows that the deployment of HetNets other than WiFi in an unlicensed spectrum creates an information asymmetry, which means that spectrum regulators will find assessment of spectrum demand more difficult. The paper also highlights the problem facing spectrum regulators when there is a potential for interference to unlicensed services which are widely deployed but have no right to protection from interference. Practical implications Spectrum regulators will need to understand the extent to which an unlicensed spectrum is being used by mobile network operators to deliver wireless broadband services. This understanding is needed to be able to address potential interference with other services using an unlicensed spectrum and to be able to forecast spectrum demand. Originality/value The development of technologies that are designed to be used by existing mobile network operators for the delivery of wireless broadband services using an unlicensed spectrum creates novel regulatory challenges. This paper reviews some of these.
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Reddy, S. Reddy Vamshidhar, and Sanjay Dhar Roy. "SBT (Sense Before Transmit) Based LTE Licenced Assisted Access for 5 GHz Unlicensed Spectrum." Wireless Personal Communications 119, no. 3 (March 3, 2021): 2069–81. http://dx.doi.org/10.1007/s11277-021-08318-1.

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AbstractUtilization of unlicensed spectrum under licensed assisted access ensuring fair co-existence with Wi-Fi networks is a good solution to address immense usage of mobile data. Radio communication operation of LTE in unlicensed frequency band is referred as LTE-unlicensed (LTE-U) or LTE-licensed assisted access. In this paper, we consider a HGNW in which coverage area of Wireless-Fidelity (Wi-Fi)’s Access Point is integrated within the LTE-U small base station’s cellular network coverage area. To overcome the disadvantages of existing LTE-U technics like carrier sense adaptive transmission and listen before talk, we proposed a new methodology i.e., sense before transmit in this paper by adopting a transmit power control mechanisms using reciprocity theorem based on the channel state information to assign the secondary carriers in the uplink as well as in the downlink directions in the unlicensed spectrum to carry the traffic. In our proposal, LTE-U users are allowed to use the unlicensed spectrum provided that the interference produced at Wi-Fi users due to LTE-U activities is remained below a certain threshold. We evaluated the performance of proposed network model in terms of outage probability and achievable throughputs.
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Wang, Ganggui, Celimuge Wu, Tsutomu Yoshinaga, Rui Yin, Tutomu Murase, Kok-Lim Alvin Yau, Wugedele Bao, and Yusheng Ji. "Coexistence Analysis of D2D-Unlicensed and Wi-Fi Communications." Wireless Communications and Mobile Computing 2021 (March 23, 2021): 1–11. http://dx.doi.org/10.1155/2021/5523273.

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By enabling direct communications between nearby user equipment (UE), device-to-device (D2D) communication has become one of the key technologies in 5th generation (5G) mobile networks. D2D communication brings new communication opportunities for mobile devices, especially in a highly dense network. In this paper, D2D communication in the unlicensed spectrum, namely, D2D-Unlicensed (D2D-U), is discussed. The use of unlicensed frequency bands can ease the shortage of spectrum resources and improve network performance. However, the D2D-U in 5G has significant effects on the network performance of existing unlicensed networks sharing the same frequency bands, such as Wi-Fi and Bluetooth. Therefore, it is necessary to design a fair coexistence scheme for D2D-U. To understand the coexistence problem, in this paper, we first formulate the network performance of D2D-U and Wi-Fi under two different coexistence schemes, namely, listen before talk (LBT) and duty cycle mechanism (DCM). Then, we use computer simulations to investigate a mode selection scheme that switches between these two schemes and point out the best possible solution for the coexistence between D2D-U and Wi-Fi.
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Tian, Ye, Lin Ma, and Xue Zhi Tan. "Collusion-Resistant Spectrum Allocation Based on Pricing Game and Multi-Stage Auction." Applied Mechanics and Materials 198-199 (September 2012): 1588–93. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.1588.

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With the urgent needs of improving spectrum’s efficiency, dynamic spectrum allocation based on auction has become a popular method, which makes unlicensed users to use the vacant spectrum released by primary users. However, the collusion behavior between unlicensed users harms system’s efficiency and profit. Although many kinds of mechanism have been proposed to solve this problem, resisting collusion is still a tough problem. In this paper, we study the nature of collusion behavior and revenue, and model a multi-stage auction for centralized spectrum allocation. In order to balance the collusion-resistance and revenue-optimization, we propose an algorithm with unit price priority and one step revenue optimization, which can combat collusion between unlicensed users and encourage them to compete with each other so that improve system’s total profit to some degree. With the simulation results, our algorithm shows a good performance on collusion-resistance and system’s revenue comparing with the other two algorithms.
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Jones, Steve. "Unlicensed Broadcasting: Content and Conformity." Journalism Quarterly 71, no. 2 (June 1994): 395–402. http://dx.doi.org/10.1177/107769909407100212.

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This paper examines the extent and content of pirate radio broadcasting in the United States. While it is assumed that unlicensed broadcasts provide an alternative to commercial radio broadcasts, such broadcasts do not offer a substantially alternative form of programming. They rely on popular music that is often programmed on licensed, commercial radio, and they rarely program music other than pop and rock ‘n’ roll. As a result, this study claims it is spectrum use and access the FCC seeks to control, and not content.
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Sitompul, Asril. "MASALAH HUKUM DALAM PENGGUNAAN SPEKTRUM FREKUENSI RADIO DI INDONESIA." Jurnal Hukum dan Peradilan 2, no. 3 (April 23, 2018): 405. http://dx.doi.org/10.25216/jhp.2.3.2013.405-426.

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Meanwhile there are nine telecommunications operators in Indonesia have the license to use radio frequency spectrum (Mobile Network Operator – MNO) and some operators that did not have the license. With the increase of the cellular and fixed wireless operators and the increase of users of the internet provided by Internet Service Provider (―ISP‖) through wireless networks using radio frequency spectrum, then the need of Radio frequency spectrum also increased. The effort to overcome the rare radio frequency spectrum conducted by development of radio frequency spectrum technology, among others by using multiple access system. This system may be conducted by division of time, frequency, or code. Other system is by using the concept of Mobile Virtual Network Operator (―MVNO‖) by relationship between the licensed and unlicensed operators, i.e. by leasing of the spectrum. In Indonesia, there was no regulation regarding MVNO, so there was a question about whether the MVNOs include in the category of radio frequency spectrum users and whether or not the MVNO required to have license and pay the BHP for the use of frequency. Therefore it is necessary to have a change in the existing regulations to make clear the status and the existence of the unlicensed users of radio frequency spectrum as the MVNOs. Keyword: Spectrum, users, utilization, MVNO, regulation
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Wu, Fanyi, Hongliang Zhang, Boya Di, Jianjun Wu, and Lingyang Song. "Device-to-Device Communications Underlaying Cellular Networks: To Use Unlicensed Spectrum or Not?" IEEE Transactions on Communications 67, no. 9 (September 2019): 6598–611. http://dx.doi.org/10.1109/tcomm.2019.2917901.

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DasMahapatra, Suddhendu, Ishita Gandhi, Kartik Nair, and Shivendra Nath Sharan. "Sensing schedule optimization to minimize interference with primary users in cognitive radio network." Indonesian Journal of Electrical Engineering and Computer Science 17, no. 3 (March 1, 2020): 1399. http://dx.doi.org/10.11591/ijeecs.v17.i3.pp1399-1404.

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<p class="Abstract">Radio Frequency (RF) spectrum, which is a limited resource, is facing the challenge of fulfilling the need of ever-growing users. To accommodate these users in an efficient manner, the idea of Cognitive Radio (CR) was proposed. It allows unlicensed users to use the licensed bands when the primary user is not using its band. To check the availability of the free spectrum, the system should be able to sense the RF environment around it, thus spectrum sensing becomes an important aspect of CR. In this work, the Genetic Algorithm (GA) is used to determine the periodic sensing schedule to maximize the number of transmission opportunities for unlicensed band users as well as to minimize interference with licensed users. This optimization scheme generates a maximum number of transmission opportunities with minimum interruption to the licensed user’s communication. The MATLAB software is used for simulation.</p>
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Ramezanipour, Iran, Hirley Alves, Pedro H. J. Nardelli, and Ari Pouttu. "A Throughput and Energy Efficiency Scheme for Unlicensed Massive Machine Type Communications †." Sensors 20, no. 8 (April 21, 2020): 2357. http://dx.doi.org/10.3390/s20082357.

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In this paper, the throughput and energy efficiency of an unlicensed machine type communications network is studied. If an outage event happens in the network, there is a possibility for packet retransmission in order to obtain a lower error probability. The concept of spectrum sharing is used here for modeling the network, which allows the two types of licensed and unlicensed users to share the same uplink channel allocated to the licensed users. However, it is done in a way that no harm is done to the licensed nodes’ transmission for sharing the same channel with the unlicensed users, while licensed nodes’ transmission causes interference on the unlicensed network. Poisson point process is used here to model the location of the nodes and the effect of interference on the network. We study how different factors such as the number of retransmissions, SIR threshold and outage can affect the throughput and energy efficiency of the network. Throughput and energy efficiency are also both studied in constrained optimization problems where the constraints are the SIR threshold and the number of retransmission attempts. We also show why it is important to use limited transmissions and what are the benefits.
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A, Hyils Sharon Magdalene, and D. Shalini Punithavathani. "A Novel Spectrum Decision Pattern for The Favorable Cognitive Radio Based Internet of Things in 5G System." International Journal of Engineering and Advanced Technology 10, no. 5 (June 30, 2021): 315–23. http://dx.doi.org/10.35940/ijeat.e2808.0610521.

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The Radio Frequency (RF) Spectrum decision in Cognitive Radio (CR) allows unlicensed users of wireless communication schemes to conquer the unoccupied spectrum slots as a resolution for barely spectrum. The Internet of Things (IoT) is a broad-arriving network and its object is linked by wireless communication technologies, donating cost- efficiency and generously opens to remote users. When IoT is applied, it is injured by challenges of susceptibility in the forceful surrounding situations, allotment and use of bandwidth, ease of approach and expense to buy RF spectrum. The object is permeated with cognitive capacity and is capable to model RF spectrum decisions to attain interference-release and wireless connectivity due to their Quality of Service (QoS) demands. Therefore the spectrum decision through an unlicensed user on CR influences an importance in CR-based IoT in 5G system and further network. This article depicts a systematic sustainment of the spectrum decision structure to CR Network. So, this can be mainly achieved by applying a favorable spectrum sensing technique and a novel spectrum decision framework. Presently, the wireless connectivity is intended to greater capacity, immense machine connectivity, and greater data range, low end-to-end latency, low cost and coherent Quality of Experience (QoE) condition. Hence, 4G is being substituted by 5G. Being in this 5G, the vast connectivity can be properly inspired by using the novel techniques, which is applied under the Energy detection spectrum sensing system. Also, a novel spectrum decision framework is designed for the optimum application of applying the IoT in 5G system ie., the effective use of an allocated RF spectrum is differently underutilized because of the standard handling with the licensed users are called as Primary Users (PUs).
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Dissertations / Theses on the topic "Unlicensed spectrum use"

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Pediaditaki, Sofia. "Interference-aware adaptive spectrum management for wireless networks using unlicensed frequency bands." Thesis, University of Edinburgh, 2012. http://hdl.handle.net/1842/11725.

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The growing demand for ubiquitous broadband network connectivity and continuously falling prices in hardware operating on the unlicensed bands have put Wi-Fi technology in a position to lead the way in rapid innovation towards high performance wireless for the future. The success story of Wi-Fi contributed to the development of widespread variety of options for unlicensed access (e.g., Bluetooth, Zigbee) and has even sparked regulatory bodies in several countries to permit access to unlicensed devices in portions of the spectrum initially licensed to TV services. In this thesis we present novel spectrum management algorithms for networks employing 802.11 and TV white spaces broadly aimed at efficient use of spectrum under consideration, lower contention (interference) and high performance. One of the target scenarios of this thesis is neighbourhood or citywide wireless access. For this, we propose the use of IEEE 802.11-based multi-radio wireless mesh network using omnidirectional antennae. We develop a novel scalable protocol termed LCAP for efficient and adaptive distributed multi-radio channel allocation. In LCAP, nodes autonomously learn their channel allocation based on neighbourhood and channel usage information. This information is obtained via a novel neighbour discovery protocol, which is effective even when nodes do not share a common channel. Extensive simulation-based evaluation of LCAP relative to the state-of-the-art Asynchronous Distributed Colouring (ADC) protocol demonstrates that LCAP is able to achieve its stated objectives. These objectives include efficient channel utilisation across diverse traffic patterns, protocol scalability and adaptivity to factors such as external interference. Motivated by the non-stationary nature of the network scenario and the resulting difficulty of establishing convergence of LCAP, we consider a deterministic alternative. This approach employs a novel distributed priority-based mechanism where nodes decide on their channel allocations based on only local information. Key enabler of this approach is our neighbour discovery mechanism. We show via simulations that this mechanism exhibits similar performance to LCAP. Another application scenario considered in this thesis is broadband access to rural areas. For such scenarios, we consider the use of long-distance 802.11 mesh networks and present a novel mechanism to address the channel allocation problem in a traffic-aware manner. The proposed approach employs a multi-radio architecture using directional antennae. Under this architecture, we exploit the capability of the 802.11 hardware to use different channel widths and assign widths to links based on their relative traffic volume such that side-lobe interference is mitigated. We show that this problem is NP-complete and propose a polynomial time, greedy channel allocation algorithm that guarantees valid channel allocations for each node. Evaluation of the proposed algorithm via simulations of real network topologies shows that it consistently outperforms fixed width allocation due to its ability to adapt to spatio-temporal variations in traffic demands. Finally, we consider the use of TV-white-spaces to increase throughput for in-home wireless networking and relieve the already congested unlicensed bands. To the best of our knowledge, our work is the first to develop a scalable micro auctioning mechanism for sharing of TV white space spectrum through a geolocation database. The goal of our approach is to minimise contention among secondary users, while not interfering with primary users of TV white space spectrum (TV receivers and microphone users). It enables interference-free and dynamic sharing of TVWS among home networks with heterogeneous spectrum demands, while resulting in revenue generation for database and broadband providers. Using white space availability maps from the UK, we validate our approach in real rural, urban and dense-urban residential scenarios. Our results show that our mechanism is able to achieve its stated objectives of attractiveness to both the database provider and spectrum requesters, scalability and efficiency for dynamic spectrum distribution in an interference-free manner.
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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
國立成功大學
電信管理研究所
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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 by LTE. The double act of Taiwan NRA in telecommunication is responsible for the flawed auction. The spectrum planning authority, as known as the Minister of transportation and communication(MOTC), viewed the operator as a primary user in that radio band. However, the wireless microphones are not cognitive devices that avoid causing interference. In the other side, the regulatory authority, as known as the National Communication Committee(NCC), has no effective method to deal with the unpredictable interferences. NCC could only propose other possible locations for those wireless microphone users. Therefore, the broadcasters who invested a lot in wireless microphones and involved in tremendous amount of the devices, would only have two ways to go. Either to accept the sorely high cost of upgrading equipment or re-investments, or to accept the risk of bad reception. The research first analysis and comparison similar re-farming policies of license-exempted wireless microphone radio bands from USA, UK and Australia. Second, the research collected the models of spectrum secondary markets, and modified them due II to few of them are either technologically or perfectly legitimate to the case of wireless microphone and LTE coexistence. The modification is mainly focus on the difference of wireless microphone to a cognitive service. Nevertheless, this research proposed a third option as bandwidth reduction and peak and non-peak time pricing mechanism. This research also applied game theory and simulation for finding the equilibrium. The conclusion is that the broadcasters would finally accept the bad reception because of the high cost of upgrading. But they would also consider the peak and non-peak pricing based bandwidth reduction, whenever the upgrading cost is relatively low or the value of news event is relatively high. Besides, the research shows national regulation authorities (NRAs) a way of fixing flowed policies through administrative orders and business models. The NRAs could increase the spectrum efficiency and protect the cultural and creative industry all at once. To a LTE operator, the mechanism proposed could create value, reduce risk of bad network quality, the cost is relatively low. Instead of the high re-investment in the same equipment, to pay for the spectrum leasing fee and get a guaranteed reception, the broadcasters are also benefited from the mechanism proposed. Generally speaking, the spectrum leasing mechanism proposed in the research is consistent with the concept of digital convergence. Namely, to loosen control of spectrum usage on certain industries.
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Book chapters on the topic "Unlicensed spectrum use"

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Beltrán, Fernando, Sayan Kumar Ray, and Jairo Gutiérrez. "Dynamic Spectrum Management in 5G: Lessons from Technological Breakthroughs in Unlicensed Bands Use." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 250–59. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94965-9_25.

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Verma, G., and O. P. Sahu. "Efficient Use of Location of Unlicensed Users in Improving the Utilization of Licensed Spectrum." In Lecture Notes in Electrical Engineering, 685–93. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4765-7_71.

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Zhang, Huaqing, Sami Khairy, Lin X. Cai, and Zhu Han. "Spectrum Matching in Unlicensed Band with User Mobility." In Resource Allocation in Unlicensed Long Term Evolution HetNets, 53–80. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68312-6_4.

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Omer, Ala Eldin. "Review of Spectrum Sensing Techniques in Cognitive Radio Networks." In Advances in Wireless Technologies and Telecommunication, 85–107. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5354-0.ch005.

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Most frequency spectrum bands are licensed to certain services to avoid the interference between various networks, but the spectrum occupancy measurements show that few portions of this spectrum are fully efficiently used. Cognitive radio is a future radio technology that is aware of its environment, internal state, and can change its operating behavior (transmitter parameters) accordingly. Through this technology the unlicensed users can use the underutilized spectrum without causing any harmful interference to the licensed users. Its key domains are sensing, cognition, and adaptation. The spectrum sensing problem is one of the most challenging issues in cognitive radio systems to detect the available frequency bands. This chapter introduces the concepts of various transmitter detection techniques, namely energy detection, matched filter detection, and cyclostationary feature detection. The chapter also discusses other sensing techniques that are introduced to enhance the detection performance of the conventional energy detector. Additionally, the introduced sensing techniques are implemented using extensive MATLAB simulations and their performances are evaluated and compared in terms of sensing time, detection sensitivity, and ease of implementation. The implementation is based on BPSK and QPSK modulation schemes under various SNR values for AWGN noisy channel with Rayleigh fading.
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Rawat, Danda B., Chandra Bajracharya, and Gongjun Yan. "Game Theory for Resource Allocation in Wireless Networks." In Advances in Wireless Technologies and Telecommunication, 335–52. IGI Global, 2011. http://dx.doi.org/10.4018/978-1-60960-027-3.ch016.

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Wireless technologies and devices are becoming increasingly ubiquitous in modern society. Wireless resources are natural and fixed, whereas wireless technologies and devices are increasing day-by-day, resulting in spectrum scarcity. As a consequence, efficient use of limited wireless resources has become an issue of vital importance in wireless systems. As demand increases, management of limited wireless resources for optimal allocation becomes crucial. Optimal allocation of limited wireless resources results in quick and reliable dissemination of information to larger service areas. Recently, game theory has emerged as an efficient tool to help optimally allocate wireless resources. Game theory is an optimization technique based on strategic situations and decision-making, and has found its application in numerous fields. The first part of this chapter presents a review of game theory and its application in resource allocation at different layers of the protocol stack of the network model. As shown by a recent study, static assignment of frequency spectrum by governmental bodies, such as FCC (Federal Communications Commission) in the United States, is inefficient since the licensed systems do not always fully utilize their frequency bands. In such a scenario, unlicensed secondary (cognitive radio) users can identify the idle spectrum bands and use them opportunistically. In order to access the licensed spectrum dynamically and opportunistically, the dynamic spectrum access functionality needs to be incorporated in the next generation (XG) wireless networks. Different game theory approaches for dynamic spectrum access are discussed in the second part of the chapter.
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Ahmad, Ayaz, and Sadiq Ahmad. "Radio Resource Management in Cognitive Radio Sensor Networks." In Advances in Wireless Technologies and Telecommunication, 27–47. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6212-4.ch002.

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Wireless Sensor Networks (WSNs) use the unlicensed Industrial, Scientific, and Medical (ISM) band for transmissions. However, with the increasing usage of these networks for diverse applications, the currently available ISM band does not suffice for their transmissions and a new challenge appears before the WSNs' research community. One of the candidate approaches to tackle this spectrum insufficiency problem is to incorporate the opportunistic spectrum access capability of Cognitive Radio (CR) into the existing WSN, thus giving birth to Cognitive Radio Sensor Network (CRSN). Efficient spectrum utilization is another approach to overcome this challenging problem. Another challenge associated to WSN operation is the dependability of sensor nodes on battery supplied power where the batteries in general are not replaceable. Therefore, advanced and intelligent radio resource management schemes are very essential to perform dynamic and efficient spectrum allocation among multiple sensor nodes and to optimize the power consumption of each individual node in the network. Radio resource management enables the sensor nodes to efficiently utilize the available spectrum and power, which in turn ensures QoS transmissions, maximizes the network lifetime, and reduces the inter-node and inter-network interferences. In this chapter, the authors present a comprehensive overview of the recent advances in radio resource management for CRSN. Radio resource management in CRSN has been reviewed in various scenarios (i.e., centralized, cluster-based, and distributed). The related issues and challenges are discussed, and future research directions are highlighted.
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Kostic-Ljubisavljevic, Aleksandra, and Branka Mikavica. "Challenges and Opportunities of VLC Application in Intelligent Transportation Systems." In Encyclopedia of Information Science and Technology, Fifth Edition, 1051–64. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3479-3.ch072.

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With the development of light emitting diodes (LEDs), the communication in visible light spectrum, visible light communication (VLC), becomes an alternative to the existing wireless technologies. Integration of VLC systems with intelligent transportation systems (ITS) can significantly improve many aspects of transportation and traffic. The use of unlicensed bandwidth and wider implementation of VLC LED lighting, both in infrastructure and in vehicles, provide an energy-efficient data transmission with sufficiently large data rates at low cost. The application of VLC systems is still at an early stage of the development. However, due to numerous advantages, the wider adoption of VLC systems is expected in near future. This chapter presents an analysis of the possibilities of VLC application in ITS scenarios. Main characteristics of VLC in ITS in terms of architecture, modulation and standardization are addressed. Some challenges and open issues are also emphasized.
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Banerjee, Jyoti Sekhar, Arpita Chakraborty, and Koushik Karmakar. "Architecture of Cognitive Radio Networks." In Advances in Wireless Technologies and Telecommunication, 125–52. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-4221-8.ch007.

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Today’s wireless networks are characterized by fixed spectrum assignment policy. The spectral scarcity and the inefficiency in the spectrum usage necessitate a new communication paradigm to exploit the existing wireless spectrum, opportunistically. Cognitive Radio (CR) is that very paradigm for wireless communication, in which either a network or a wireless node reconfigures its transmission or reception parameters to communicate efficiently avoiding interference with licensed or unlicensed users. CR adapts itself to the newer environment on the basis of its intelligent sensing and captures the best available spectrum to meet user communication requirements. When the radio link features are extended to the network layer, the cognitive radios form the cognitive radio network. This book chapter is focused on cognitive radio network, architecture of the CR, and its relevance in the wireless and mobile Ad Hoc networks.
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Banerjee, Jyoti Sekhar, and Arpita Chakraborty. "Modeling of Software Defined Radio Architecture and Cognitive Radio." In Advances in Wireless Technologies and Telecommunication, 127–58. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6212-4.ch006.

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Today's wireless networks are characterized by fixed spectrum assignment policy. The spectral scarcity and the inefficiency in the spectrum usage necessitate new communication paradigms to exploit the existing wireless spectrum, opportunistically. Software Defined Radio (SDR) and Cognitive Radio (CR) are the very paradigms for wireless communication, in which either a network or a wireless node reconfigures its transmission or reception parameters to communicate efficiently, avoiding interference with licensed or unlicensed users. CR adapts itself to the newer environment on the basis of its intelligent sensing and captures the best available spectrum to meet user communication requirements. When the radio link features are extended to the network layer, the cognitive radios form the cognitive radio network. This chapter is focused on software defined radio, its architecture, its limitations, evolution to cognitive radio network, architecture of the CR, and its relevance in wireless and mobile ad-hoc networks.
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Yao, Yong, Alexandru Popescu, and Adrian Popescu. "On Fuzzy Logic-Based Channel Selection in Cognitive Radio Networks." In Advances in Wireless Technologies and Telecommunication, 255–74. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6571-2.ch010.

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Cognitive radio networks are a new technology based on which unlicensed users are allowed access to licensed spectrum under the condition that the interference perceived by licensed users is minimal. That means unlicensed users need to learn from environmental changes and to make appropriate decisions regarding the access to the radio channel. This is a process that can be done by unlicensed users in a cooperative or non-cooperative way. Whereas the non-cooperative algorithms are risky with regard to performance, the cooperative algorithms have the capability to provide better performance. This chapter shows a new fuzzy logic-based decision-making algorithm for channel selection. The underlying decision criterion considers statistics of licensed user channel occupancy as well as information about the competition level of unlicensed users. The theoretical studies indicate that the unlicensed users can obtain an efficient sharing of the available channels. Simulation results are reported to demonstrate the performance and effectiveness of the suggested algorithm.
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Conference papers on the topic "Unlicensed spectrum use"

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Cui, Pengfei, Matthew Tonnemacher, Dinesh Rajan, and Joseph Camp. "WhiteCell: Energy-efficient use of unlicensed frequency bands for cellular offloading." In 2015 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN). IEEE, 2015. http://dx.doi.org/10.1109/dyspan.2015.7343902.

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Sharkey, William W., Fernando Beltran, and Mark Bykowsky. "Computational analysis of an auction for licensed and unlicensed use of spectrum." In 2009 International Conference on Game Theory for Networks (GameNets). IEEE, 2009. http://dx.doi.org/10.1109/gamenets.2009.5137437.

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Tesanovic, Milos, Paul Bucknell, and Hind Chebbo. "Co-Operative Use of Licensed Spectrum by Unlicensed Devices: The Concept of Bandwidth Scavenging." In 2013 IEEE 78th Vehicular Technology Conference (VTC Fall). IEEE, 2013. http://dx.doi.org/10.1109/vtcfall.2013.6692145.

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Han, Kun, Jinlong Li, Ping Zhu, and Xufa Wang. "The Learning-Bargaining Algorithm Used in Unlicensed Spectrum Pre-Allocation." In 2007 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2007. http://dx.doi.org/10.1109/wicom.2007.322.

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Ali, Mudassar, Saad Qaisar, Muhamamd Naeem, and Shahid Mumtaz. "Joint User Association and Power Allocation for Licensed and Unlicensed Spectrum in 5G Networks." In 2017 IEEE Global Communications Conference (GLOBECOM 2017). IEEE, 2017. http://dx.doi.org/10.1109/glocom.2017.8254050.

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