All-domain Spectrum Command and Control via Hierarchical Dynamic Spectrum Sharing with Implemented Dynamic Spectrum Access Toolchain

Author(s):  
Timothy Woods ◽  
Sean Furman ◽  
Christopher Maracchion ◽  
Andrew L. Drozd ◽  
Fred Frantz ◽  
...  
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.


IEEE Network ◽  
2020 ◽  
Vol 34 (5) ◽  
pp. 164-170 ◽  
Author(s):  
Bechir Hamdaoui ◽  
Bassem Khalfi ◽  
Nizar Zorba

2012 ◽  
Vol 430-432 ◽  
pp. 1290-1293 ◽  
Author(s):  
Li Xia Liu ◽  
Gang Hu ◽  
Zhen Huang ◽  
Yu Xing Peng

In order to fully utilize the spectrum resource, dynamic spectrum access becomes a promising approach to increase the opportunity of spectrum access with the rapid development of cognitive radio. However the performance of cognitive radio networks (CRN) is considerably constrained by its limited power, memory and computing ability. Fortunately cloud computing, which is the highlight of current research, has the potential to make up for the disadvantages because of its vast storage and computing capacity. In this paper we will discuss the convergence of spectrum sharing and cloud computing from several aspects including model, advantages and challenges. A spectrum sharing model based on cloud computing (SSC) will be introduced.


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