Interference temperature: a metric for dynamic spectrum utilization

2006 ◽  
Vol 16 (2) ◽  
pp. 103-113 ◽  
Author(s):  
Paul J. Kolodzy
Author(s):  
Usama Mir ◽  
Leila Merghem-Boulahia ◽  
Dominique Gaïti

In modern day wireless networks, spectrum utilization and allocation are static. Generally, static spectrum allocation is not a feasible solution considering the distributed nature of wireless devices, thus some alternatives must be ensured in order to allocate spectrum dynamically and to mitigate the current spectrum scarcity. An effective solution to this problem is cognitive radio (CR), which seeks the empty spectrum portions and shares them with the neighboring devices. The CR devices can utilize the available spectrum more efficiently if they try to work together. Therefore, in this work, we review a number of dynamic spectrum allocation techniques, especially those using multiagent systems and game-theoretical approaches, and investigate their applicability to CR networks. The distributed nature of these two domains makes them suitable for CR networks. In fact, the idea of dynamic spectrum sharing using these techniques is not entirely new and several interesting approaches already exist in literature. Thus, in our study we try to focus on existing spectrum sharing literature and cooperative multiagent system for CR networks. We are particularly interested in showing how the distributed nature of multiagent system can be combined with cognitive radios in order to alleviate the current static spectrum usage as well as maintaining cooperation amongst the CR nodes. Moreover, our work includes the description of various scenarios in which spectrum sharing is an essential factor and hence must be performed in a dynamic and opportunistic manner. We also explain the working of our proposed spectrum allocation approach using multiagent system cooperation in one of these scenarios and verify its formal behavior using Petri net modeling.


2015 ◽  
Vol 8 (1) ◽  
pp. 140-148
Author(s):  
Chen Guizhen ◽  
Ding Enjie ◽  
Wang Gang ◽  
Xue Xue

This paper proposes a dynamic spectrum access system for underground wireless communication——a dynamic spectrum sharing system under interference temperature constrains. It can make the best of spectrum resources and improve the utilization efficiency. Then, a multi-dimensional Markov chain is used to model the system. On the basis, the secondary users’ performance under interference temperature constrains is obtained. As two important performance indexes to measure secondary users’ performance, cognitive users’ interrupting probability and blocking probability are calculated. Finally, cognitive users’ performance under different users’ access is analyzed, and the performances in dynamic spectrum access system and overlay access system are compared. Simulation results indicate that the dynamic spectrum sharing access system under interference temperature constrains is superior to the overlay access system and helpful to improve the spectrum sharing system in coal mines.


2018 ◽  
Vol 7 (2.8) ◽  
pp. 372 ◽  
Author(s):  
D Ganesh ◽  
T Pavan Kumar

Cognitive radio is a promising wireless communication technology that improves spectrum utilization and offers many benefits for internet users. Cognitive radio networks utilizes the available limited resources in a more efficient and flexible way. The main objective of the Cognitive network is to efficiently utilize the unutilized spectrum and meet the demand of the secondary users. some of the important features of cognitive of Cognitive radio networks are dynamic spectrum access, self organizing  and flexibility. As Cognitive radio networks are flexible in nature, it will be effected by various security attacks which in turn affects the performance of the network. Furthermore Cognitive radio networks transmit the spectrum in several licensed bands and it also performs dynamic spectrum allocation. Cognitive radio and Cognitive radio networks are wireless in nature these face conventional attacks. In this survey we address various  attacks in different layers , new threats and challenges that Cognitive networks face, current available solutions to address layer attacks. In addition applications, open problems and future Research challenges are also specified.


Author(s):  
Yiping Xing ◽  
Chetan Mathur ◽  
M. Haleem ◽  
R. Chandramouli ◽  
K.P. Subbalakshmi

2007 ◽  
Vol 6 (4) ◽  
pp. 423-433 ◽  
Author(s):  
Yiping Xing ◽  
Chetan N. Mathur ◽  
M.A. Haleem ◽  
R. Chandramouli ◽  
K.P. Subbalakshmi

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8052
Author(s):  
Irfan Jabandžić ◽  
Fadhil Firyaguna ◽  
Spilios Giannoulis ◽  
Adnan Shahid ◽  
Atri Mukhopadhyay ◽  
...  

With a constant increase in the number of deployed satellites, it is expected that the current fixed spectrum allocation in satellite communications (SATCOM) will migrate towards more dynamic and flexible spectrum sharing rules. This migration is accelerated due to the introduction of new terrestrial services in bands used by satellite services. Therefore, it is important to design dynamic spectrum sharing (DSS) solutions that can maximize spectrum utilization and support coexistence between a high number of satellite and terrestrial networks operating in the same spectrum bands. Several DSS solutions for SATCOM exist, however, they are mainly centralized solutions and might lead to scalability issues with increasing satellite density. This paper describes two distributed DSS techniques for efficient spectrum sharing across multiple satellite systems (geostationary and non-geostationary satellites with earth stations in motion) and terrestrial networks, with a focus on increasing spectrum utilization and minimizing the impact of interference between satellite and terrestrial segments. Two relevant SATCOM use cases have been selected for dynamic spectrum sharing: the opportunistic sharing of satellite and terrestrial systems in (i) downlink Ka-band and (ii) uplink Ka-band. For the two selected use cases, the performance of proposed DSS techniques has been analyzed and compared to static spectrum allocation. Notable performance gains have been obtained.


Author(s):  
Nidhi ◽  
Albena Mihovska ◽  
Ramjee Prasad

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.


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