Dynamic Spectrum Allocation based on Cognitive Radio

Yan, Xiao; Qijun, Song; Hong-shun, Zhang; Shao, Lulu

doi:10.1109/ceem.2009.5303943

Cited by 8 publications

(5 citation statements)

References 4 publications

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“…Numerous researches [2], [8][9][10] have already addressed spectrum allocation problems in the existing literature. The authors in [2], [8] have addressed the spectrum allocation problems in cognitive radio systems, whereas the authors in [9] have addressed a dynamic frequency allocation scheme in heterogeneous networks. Further, the authors in [10] have presented a dynamic spectrum allocation algorithm to address channel conflict in vehicle networks.…”

Section: Related Studymentioning

confidence: 99%

“…Instead, due to the secondarylevel spectrum trading, the spectrum allocated to each MNO in the primary-level in SESA is reassigned among MNOs such that the total spectrum of one MNO differs from another as we have described before while discussing the spectrum trading among MNOs. However, like FUSA, using Pascal's triangle as described above, the countrywide average capacity of all MNOs O for a building of SBSs in SESA when employing the spectrum trading mechanism expressed in (4) can also be given by (8).…”

Section: ) Td and Fd Spectrum Sharingmentioning

confidence: 99%

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Millimeter-Wave Spectrum Utilization Improvement in Multi-Operator Networks: A Framework Using the Equal Likelihood Criterion

Saha

2021

IEEE Access

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In this paper, we present a framework to give a comprehensive review of how to improve the spectrum utilization of millimeter-wave (mmWave) systems using indoor small cells in multi-operator network scenarios. More specifically, the framework concerns with the improvement of the utilization of the 28 GHz mmWave spectrum allocated to an arbitrary number of mobile network operators (MNOs) in a country using numerous spectrum allocation techniques, namely Static and Equal Spectrum Allocation (SESA), Flexible and Unequal Spectrum Allocation (FUSA), and Countrywide Full Spectrum Allocation (CFSA). A number of spectrum utilization improvement mechanisms such as spectrum trading, spectrum sharing, and spectrum reusing are then exploited into SESA, FUSA, and CFSA techniques in four majorinterconnected domains, including time, frequency, power, and space. Using the Equal Likelihood Criterion and the properties of left-justified Pascal's triangle, the average capacity, spectral efficiency (SE), and energy efficiency (EE) performance metrics for each spectrum allocation technique in each domain are derived. Extensive system-level numerical and simulation results and analyses are carried out to evaluate the performance of each technique in each domain for example scenario of a country with four MNOs. Overall, it is shown that, in the power-domain, CFSA outperforms SESA and FUSA (when operating either at the interweave or at the underlay spectrum access technique), whereas, in the time-domain and frequency-domain, SESA and FUSA outperform CFSA, in terms of the average capacity, SE, and EE. Finally, we show that CFSA in the power-domain outperforms SESA and FUSA operating in any domain to achieve the prospective SE and EE requirements for the sixth generation (6G) mobile networks.

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Section: Related Studymentioning

confidence: 99%

Section: ) Td and Fd Spectrum Sharingmentioning

confidence: 99%

Millimeter-Wave Spectrum Utilization Improvement in Multi-Operator Networks: A Framework Using the Equal Likelihood Criterion

Saha

2021

IEEE Access

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“…Further, numerous research works have already addressed the issues of spectrum allocation as well as spectrum exploitation. For example, the authors in [14] proposed methods for the dynamic spectrum allocation in cognitive radio systems, and the authors in [15] presented a system-level dynamic frequency spectrum allocation scheme based on central heterogeneous network architecture. Using the carrier aggregation technique, the authors in [16] considered the optimization of resource allocation, and the authors in [17] introduced and formulated the problem of the optimum spectrum allocation in cognitive radios.…”

Section: Related Workmentioning

confidence: 99%

Spectrum Allocation and Reuse in 5G New Radio on Licensed and Unlicensed Millimeter-Wave Bands in Indoor Environments

Saha

2021

Mobile Information Systems

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In this paper, by exploiting the frequency-domain, we propose a countrywide millimeter-wave (mmWave) spectrum allocation and reuse technique to allocate and reuse spatially the countrywide 28 GHz licensed spectrum and 60 GHz unlicensed spectrum to small cells (SCs) on each floor of a building of each Fifth-Generation (5G) New Radio (NR) Mobile Network Operator (MNO) of an arbitrary country. We develop an interference management scheme, model user statistics per SC, and interferer statistics per apartment and formulate the amount of the 28 GHz and 60 GHz spectra per MNO. We derive average capacity, spectral efficiency (SE), energy efficiency (EE), and cost efficiency (CE) when employing the proposed technique, as well as the traditional static licensed spectrum allocation technique. We discuss the implementation of the proposed technique and evaluate the performance under two scenarios, namely, SCs operate only in the 28 GHz in scenario 1, and both 28 GHz and 60 GHz in scenario 2. Extensive results and analyses are carried out for four MNOs, i.e., MNOs 1, 2, 3, and 4, in scenario 1. However, in scenario 2, in addition to MNOs 1, 2, 3, and 4, an incumbent Wireless Gigabit (WiGig) operator is considered. It is shown that the proposed technique with no co-channel interference can improve average capacity, SE, EE, and CE of MNO 1 by 3 times, 1.65 times, 75%, and 60%, respectively, in scenario 1, whereas 6.12 times, 5.104 times, 85.8%, and 83.15%, respectively, in scenario 2. Moreover, with an increase in reuse factors, SE increases linearly and EE increases negative exponentially. Further, we show that the proposed technique can satisfy SE and EE requirements for sixth-generation (6G) mobile systems. Finally, we discuss offered benefits and point out key issues of the proposed technique for further studies.

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“…The outcome of this measurement is one of two hypotheses: H0, stating that the channel is available or H1, stating that the channel is occupied. The measurements are sent to the base station, where a dynamic spectrum allocation [ 19 ] function is responsible to fuse all the measurements into a single decision variable. Data from a geolocation database can also be used to aid the decision process, i.e., allowing the selection of the channels that shall be investigated as potential idle channels.…”

Section: Background On 5g-range Technologiesmentioning

confidence: 99%

“…However, this article shows the whole experimentation scenario that has been built integrating both solutions and presents them in two different domains that can interact with each other. One of the domains includes the physical and MAC layers that allow for Dynamic Spectrum Allocation [ 19 ] by exploiting vacant TV channels using Cognitive Radio techniques [ 20 ]. Spectrum sensing, low out-of-band emissions, fragmented spectrum access [ 21 ] and cognitive cycle are some of the features that must be incorporated in the physical and MAC layers to allow 5G networks to be used to close the connectivity gap in remote and rural areas.…”

Section: Introductionmentioning

confidence: 99%

Deploying an NFV-Based Experimentation Scenario for 5G Solutions in Underserved Areas

Sanchez-Aguero

Vidal

Valera

et al. 2021

Sensors

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Presently, a significant part of the world population does not have Internet access. The fifth-generation cellular network technology evolution (5G) is focused on reducing latency, increasing the available bandwidth, and enhancing network performance. However, researchers and companies have not invested enough effort into the deployment of the Internet in remote/rural/ undeveloped areas for different techno-economic reasons. This article presents the result of a collaboration between Brazil and the European Union, introducing the steps designed to create a fully operational experimentation scenario with the main purpose of integrating the different achievements of the H2020 5G-RANGE project so that they can be trialed together into a 5G networking use case. The scenario encompasses (i)a novel radio access network that targets a bandwidth of 100 Mb/s in a cell radius of 50 km, and (ii) a network of Small Unmanned Aerial Vehicles (SUAV). This set of SUAVs is NFV-enabled, on top of which Virtual Network Functions (VNF) can be automatically deployed to support occasional network communications beyond the boundaries of the 5G-RANGE radio cells. The whole deployment implies the use of a virtual private overlay network enabling the preliminary validation of the scenario components from their respective remote locations, and simplifying their subsequent integration into a single local demonstrator, the configuration of the required GRE/IPSec tunnels, the integration of the new 5G-RANGE physical, MAC and network layer components and the overall validation with voice and data services.

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Dynamic Spectrum Allocation based on Cognitive Radio

Cited by 8 publications

References 4 publications

Millimeter-Wave Spectrum Utilization Improvement in Multi-Operator Networks: A Framework Using the Equal Likelihood Criterion

Millimeter-Wave Spectrum Utilization Improvement in Multi-Operator Networks: A Framework Using the Equal Likelihood Criterion

Spectrum Allocation and Reuse in 5G New Radio on Licensed and Unlicensed Millimeter-Wave Bands in Indoor Environments

Deploying an NFV-Based Experimentation Scenario for 5G Solutions in Underserved Areas

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