scholarly journals Dynamic Resource Sharing in 5G with LSA: Criteria-Based Management Framework

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Zhaleh Sadreddini ◽  
Pavel Masek ◽  
Tugrul Cavdar ◽  
Aleksandr Ometov ◽  
Jiri Hosek ◽  
...  
Keyword(s):  
Mobile Networks ◽  
User Satisfaction ◽  
Resource Sharing ◽  
Spectrum Sharing ◽  
Interference Mitigation ◽  
Mobile Network ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Policy Reforms ◽  
Spectrum Utilization

Owing to a steadily increasing demand for efficient spectrum utilization as part of the fifth-generation (5G) cellular concept, it becomes crucial to revise the existing radio spectrum management techniques and provide more flexible solutions for the corresponding challenges. A new wave of spectrum policy reforms can thus be envisaged by producing a paradigm shift from static to dynamic orchestration of shared resources. The emerging Licensed Shared Access (LSA) regulatory framework enables flexible spectrum sharing between a limited number of users that access the same frequency bands, while guaranteeing better interference mitigation. In this work, an advanced user satisfaction-aware spectrum management strategy for dynamic LSA management in 5G networks is proposed to balance both the connected user satisfaction and the Mobile Network Operator (MNO) resource utilization. The approach is based on the MNO decision policy that combines both pricing and rejection rules in the implemented processes. Our study offers a classification built over several types of users, different corresponding attributes, and a number of MNO’s decision scenarios. Our investigations are built on Criteria-Based Resource Management (CBRM) framework, which has been specifically designed to facilitate dynamic LSA management in 5G mobile networks. To verify the proposed model, the results (spectrum utilization, estimated Secondary User price for the future connection, and user selection methodology in case of user rejection process) are validated numerically as we yield important conclusions on the applicability of our approach, which may offer valuable guidelines for efficient radio spectrum management in highly dynamic and heterogeneous 5G environments.

scholarly journals A Practical Perspective on 5G-Ready Highly Dynamic Spectrum Management with LSA

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Pavel Masek ◽  
Evgeny Mokrov ◽  
Krystof Zeman ◽  
Aleksey Ponomarenko-Timofeev ◽  
Alexander Pyattaev ◽  
...  
Keyword(s):  
Communication Networks ◽  
Mobile Network ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Full Potential ◽  
Spectrum Utilization ◽  
Time Frequency ◽  
Dynamic Spectrum Management ◽  
High Space ◽  
Flexible Operation

A diversity of wireless technologies will collaborate to support the fifth-generation (5G) communication networks with their demanding applications and services. Despite decisive progress in many enabling solutions, next-generation cellular deployments may still suffer from a glaring lack of bandwidth due to inefficient utilization of radio spectrum, which calls for immediate action. To this end, several capable frameworks have recently emerged to all help the mobile network operators (MNOs) leverage the abundant frequency bands that are utilized lightly by other incumbents. Along these lines, the recent Licensed Shared Access (LSA) regulatory framework allows for controlled sharing of spectrum between an incumbent and a licensee, such as the MNO, which coexist geographically. This powerful concept has been subject to several early technology demonstrations that confirm its implementation feasibility. However, the full potential of LSA-based spectrum management can only become available if it is empowered to operate dynamically and at high space-time-frequency granularity. Complementing the prior efforts, we in this work outline the functionality that is required by the LSA system to achieve the much needed flexible operation as well as report on the results of our respective live trial that employs a full-fledged commercial-grade cellular network deployment. Our practical results become instrumental to facilitate more dynamic bandwidth sharing and thus promise to advance on the degrees of spectrum utilization in future 5G systems without compromising the service quality of their users.

scholarly journals Spectrum Sharing and Dynamic Spectrum Management Techniques in 5G and Beyond Networks: A Survey

2021 ◽  
Author(s):  
Nidhi ◽  
Albena Mihovska ◽  
Ramjee Prasad
Keyword(s):  
Spectrum Sharing ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Dynamic Spectrum ◽  
Data Traffic ◽  
Spectrum Utilization ◽  
Efficient Technology ◽  
Efficient System ◽  
Dynamic Spectrum Management ◽  
Regulatory Bodies

Advancing technologies and bandwidth-hungry applications have increased mobile data traffic in the radio spectrum. Utilizing spectrum is one of the indispensable performance metric seconded by techniques to increase the bandwidth. Spectrum efficient techniques have always been a part of all the generations of wireless communication. It has considered being of utmost criticality with 5G networks. The spectrum sharing and management demand contributions from technical research groups as well as regulatory bodies. Recently, many technologies proved their potentials to invoke efficient spectrum utilization. Different approaches have been considered including cognitive radio, machine learning for dynamic spectrum management, spectrum sharing, spectrum harmonization, spectrum identification strategies, etc. Efficient technology is very important in order to have high spectral as well as energy efficiency. It is also important from a cost-efficiency perspective. Therefore, this paper presents an overview of the various spectrum sharing and management aspects. This comparative study is motivated to provide a clear picture to design a spectrum efficient system for 5G and beyond the network.

Technology agnostic regulatory criteria for licence-exempt spectrum

2018 ◽  
Vol 20 (1) ◽  
pp. 1-13
Author(s):  
Johannes Kruys ◽  
Peter Anker
Keyword(s):  
Spectrum Sharing ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Performance Criteria ◽  
Social Implications ◽  
Spectrum Utilization ◽  
Medium Access ◽  
Content Type ◽  
Spectrum Policy ◽  
High Level

Purpose Spectrum regulations have major impact on the development and deployment of innovative technologies. Current regulations for license-exempt radio spectrum generally are given in terms of technology-related criteria. This paper aims to propose a set of metrics that can be used to define technology-agnostic spectrum regulations which encourage rather than restrict technology innovation. Design/methodology/approach This paper builds on and expands two other papers on regulatory criteria for license-exempt spectrum which define metrics for spectrum loading and spectrum sharing efficiency. Here, we add metrics for Block Edge Masks and for medium access adaptivity. This gives a complete toolset for the management of radio spectrum. Findings Because of the diversity of use of license-exempt spectrum, performance criteria must be formulated in terms that abstract from the details of equipment properties. Instead, they must be formulated in terms of spectrum utilization dimensions: RF power, time and frequency occupation. The result is a concise set of metrics that can be applied to the regulation or management of shared spectrum. Research limitations/implications The mathematics used in this paper deal with high-level parameters and may ignore factors that are important in certain cases and may require refinement. Practical implications The implications of the proposed metrics include an increase emphasis on the objectives of spectrum policy and on measures to assure efficient spectrum utilization both within frequency bands and between adjacent bands. Social implications There are no social implications the authors are aware of. Originality/value The originality of this work lies in recognizing that the extreme variety of devices and mode of operation deployed in license-exempt spectrum calls for spectrum management criteria that are technology agnostic.

A cognitive gateway-based spectrum sharing method in downlink round robin scheduling of LTE system

2017 ◽  
Vol 31 (19-21) ◽  
pp. 1740070 ◽  
Author(s):  
Hongyu Deng ◽  
Cheng Wu ◽  
Yiming Wang
Keyword(s):  
Resource Sharing ◽  
Spectrum Sharing ◽  
Radio Spectrum ◽  
Round Robin ◽  
Time Interval ◽  
Spectrum Utilization ◽  
Current Transmission ◽  
Long Time ◽  
Block Groups ◽  
Transmission Time Interval

A key technique of LTE is how to allocate efficiently the resource of radio spectrum. Traditional Round Robin (RR) scheduling scheme may lead to too many resource residues when allocating resources. When the number of users in the current transmission time interval (TTI) is not the greatest common divisor of resource block groups (RBGs), and such a phenomenon lasts for a long time, the spectrum utilization would be greatly decreased. In this paper, a novel spectrum allocation scheme of cognitive gateway (CG) was proposed, in which the LTE spectrum utilization and CG’s throughput were greatly increased by allocating idle resource blocks in the shared TTI in LTE system to CG. Our simulation results show that the spectrum resource sharing method can improve LTE spectral utilization and increase the CG’s throughput as well as network use time.

scholarly journals Enabling Intelligence in Spectrum Sharing

2022 ◽  
Author(s):  
Chi-Jen Wu
Keyword(s):  
Mobile Networks ◽  
Network Architecture ◽  
Spectrum Sharing ◽  
Mobile Network ◽  
Radio Spectrum ◽  
Disruptive Innovation ◽  
Infrastructure Development ◽  
Network Operator ◽  
Mobile Network Operator ◽  
Mobile Network Operators

We argue that the capital expenditures made by an individual mobile network operator is extremely high and risky. Also, radio spectrum sharing still lacks intelligence in the current architecture of mobile networks and needs to be rethought. We propose that the goal for a disruptive innovation, in the future mobile network architecture, that shall be able to free mobile network operators from having to hold spectrum licenses and natively enable intelligent radio spectrum sharing among multiple mobile network operators. On the basis of the design principles, the duty of a single mobile network operator is split into two roles, one focuses on infrastructure development, the other only contains authorizations on the radio spectrum usage. We introduce a new role to the mobile network architecture, named Spectrum Trader, is a primary broker for spectrum trading, and it is used to coordinate with the demand-side requests and the supply-side resources to drive demand in a \emph{real-time bidding} manner. We also introduce a spectrum embedding technique that shall enable efficient and intelligent spectrum allocation by recommending the right spectrum bands based on user scenario. Finally, several significant challenges that need to be addressed in practical deployment are investigated.

scholarly journals Enabling Intelligence in Spectrum Sharing

2022 ◽  
Author(s):  
Chi-Jen Wu
Keyword(s):  
Mobile Networks ◽  
Network Architecture ◽  
Spectrum Sharing ◽  
Mobile Network ◽  
Radio Spectrum ◽  
Disruptive Innovation ◽  
Infrastructure Development ◽  
Network Operator ◽  
Mobile Network Operator ◽  
Mobile Network Operators

We argue that the capital expenditures made by an individual mobile network operator is extremely high and risky. Also, radio spectrum sharing still lacks intelligence in the current architecture of mobile networks and needs to be rethought. We propose that the goal for a disruptive innovation, in the future mobile network architecture, that shall be able to free mobile network operators from having to hold spectrum licenses and natively enable intelligent radio spectrum sharing among multiple mobile network operators. On the basis of the design principles, the duty of a single mobile network operator is split into two roles, one focuses on infrastructure development, the other only contains authorizations on the radio spectrum usage. We introduce a new role to the mobile network architecture, named Spectrum Trader, is a primary broker for spectrum trading, and it is used to coordinate with the demand-side requests and the supply-side resources to drive demand in a \emph{real-time bidding} manner. We also introduce a spectrum embedding technique that shall enable efficient and intelligent spectrum allocation by recommending the right spectrum bands based on user scenario. Finally, several significant challenges that need to be addressed in practical deployment are investigated.

Advanced Cognitive Radio-Enabled Spectrum Management

2015 ◽  
pp. 478-497 ◽  
Author(s):  
Chungang Yang ◽  
Jiandong Li
Keyword(s):  
Cognitive Radio ◽  
Spectrum Sharing ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Spectrum Utilization ◽  
Dynamic Spectrum Sharing ◽  
Research Problems ◽  
Radio Technology ◽  
Management Schemes ◽  
Networking Technologies

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.

Spectrum sharing metrics

Info ◽  
2014 ◽  
Vol 16 (5) ◽  
pp. 19-31 ◽  
Author(s):  
Jan Kruys ◽  
Peter Anker ◽  
Roel Schiphorst
Keyword(s):  
Wireless Network ◽  
Spectrum Sharing ◽  
Network Performance ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Utilization Efficiency ◽  
Spectrum Utilization ◽  
Content Type ◽  
Technical Parameters ◽  
The Impact

Purpose – The purpose of this paper is to propose technology-independent metrics for measuring spectrum utilization efficiency and spectrum sharing which could prove useful in spectrum management. Radio spectrum is considered a scarce resource. The rapid rise in all kinds of wireless devices emphasizes the need for spectrum usage efficiency and spectrum sharing. Notably in license exempt spectrum, the increased density of radio devices requires new methods of evaluating their performance. Design/methodology/approach – The authors go back to the fundamentals of spectrum utilization and show that under high usage conditions, wireless network performance is interference limited. The impact of interference depends both on the environment and on the type of modulation used. The authors use these factors to derive the above metrics. Findings – The main findings of this work are metrics for spectrum utilization and sharing that are technology-independent and therefore widely applicable, notably to license exempt spectrum. These metrics provide increased visibility of receiver performance in determining spectrum use. The authors also find that the capacity of a wireless network is for all practical purposes unlimited – provided the appropriate choices of the technical parameters are made, recognizing the impact of the propagation environment. Research limitations/implications – Because the authors proceed from simplifying assumptions, detailed analysis and prediction of spectrum-sharing cases may require additional parameters to be added to the equations given. Practical implications – The results of this work have potential application in spectrum management and in the development of regulatory requirements for license exempt spectrum. Originality/value – New in this paper is the derivation of spectrum utilization and sharing metrics from first principles that allow different technologies to be compared. The authors also show that, given the right choice of technical parameters, the capacity of wireless networks is practically unlimited.

The New Research of Spectrum Sensing Technology for Cognitive Radio

2014 ◽  
Vol 945-949 ◽  
pp. 2301-2305
Author(s):  
Yi Peng ◽  
Yan Jun Wang
Keyword(s):  
Cognitive Radio ◽  
Wireless Communication ◽  
Spectrum Sensing ◽  
Communication Technology ◽  
Spectrum Sharing ◽  
Rapid Development ◽  
Current Model ◽  
Radio Spectrum ◽  
Spectrum Management ◽  
Sensing Technology

With the rapid development of wireless communication technology, the shortage of spectrum resources is becoming more and more serious, and may even become a bottleneck restricting of the development wireless communication technology in the future. Now, Spectrum sensing technology, spectrum sharing technology and spectrum management technology is the three core technologies of cognitive radio spectrum,and sensing technology is to implement the follow-up of spectrum sharing and the premise of spectrum management.So mainly to the current model of the cognitive radio spectrum sensing technology,to make a classification and comparison, finally it is concluded that cognitive users under the environment of higher signal-to-noise ratio, the better results of the perceived performance.

scholarly journals Countrywide Mobile Spectrum Sharing with Small Indoor Cells for Massive Spectral and Energy Efficiencies in 5G and Beyond Mobile Networks

Energies ◽  
2019 ◽  
Vol 12 (20) ◽  
pp. 3825 ◽  
Author(s):  
Rony Kumer Saha
Keyword(s):  
Energy Efficiency ◽  
Mobile Networks ◽  
Spectral Efficiency ◽  
Spectrum Sharing ◽  
Performance Metrics ◽  
Interference Management ◽  
Mobile Network ◽  
System Level ◽  
Small Cells ◽  
Generic Model

In this paper, we propose a technique to share the licensed spectrums of all mobile network operators (MNOs) of a country with in-building small cells per MNO by exploiting the external wall penetration loss of a building and introducing the time-domain eICIC technique. The proposed technique considers allocating the dedicated spectrum Bop per MNO only its to outdoor macro UEs, whereas the total spectrum of all MNOs of the country Bco to its small cells indoor per building such that technically any small indoor cell of an MNO can have access to Bco instead of merely Bop assigned only to the MNO itself. We develop an interference management strategy as well as an algorithm for the proposed technique. System-level capacity, spectral efficiency, and energy efficiency performance metrics are derived, and a generic model for energy efficiency is presented. An optimal amount of small indoor cell density in terms of the number of buildings L carrying these small cells per MNO to trade-off the spectral efficiency and the energy efficiency is derived. With the system-level numerical and simulation results, we define an optimal value of L for a dense deployment of small indoor cells of an MNO and show that the proposed spectrum sharing technique can achieve massive indoor capacity, spectral efficiency, and energy efficiency for the MNO. Finally, we demonstrate that the proposed spectrum sharing technique could meet both the spectral efficiency and the energy efficiency requirements for 5G mobile networks for numerous traffic arrival rates to small indoor cells per building of an MNO.

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