scholarly journals Analysis and Simulation of the Dynamic Spectrum Allocation Based on Parallel Immune Optimization in Cognitive Wireless Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Wu Huixin ◽  
Mo Duo ◽  
Li He
Keyword(s):  
Population Diversity ◽  
Dynamic Spectrum ◽  
Spectrum Allocation ◽  
Spectrum Efficiency ◽  
Dynamic Spectrum Allocation ◽  
Immune Optimization ◽  
Time Simulation ◽  
Key Issues ◽  
Speedup Ratio ◽  
Serial Algorithms

Spectrum allocation is one of the key issues to improve spectrum efficiency and has become the hot topic in the research of cognitive wireless network. This paper discusses the real-time feature and efficiency of dynamic spectrum allocation and presents a new spectrum allocation algorithm based on the master-slave parallel immune optimization model. The algorithm designs a new encoding scheme for the antibody based on the demand for convergence rate and population diversity. For improving the calculating efficiency, the antibody affinity in the population is calculated in multiple computing nodes at the same time. Simulation results show that the algorithm reduces the total spectrum allocation time and can achieve higher network profits. Compared with traditional serial algorithms, the algorithm proposed in this paper has better speedup ratio and parallel efficiency.

scholarly journals Spectrum Sharing with Dynamic Cournot Game in Vehicle-Enabled Cognitive Small-Cell Networks

2019 ◽  
Vol 2019 ◽  
pp. 1-9
Author(s):  
Guilu Wu ◽  
Huilin Jiang
Keyword(s):  
Nash Equilibrium ◽  
Spectrum Sharing ◽  
Dynamic Game ◽  
Small Cell ◽  
Dynamic Spectrum ◽  
Spectrum Allocation ◽  
Spectrum Efficiency ◽  
Dynamic Spectrum Allocation ◽  
Small Cell Networks ◽  
Cell Networks

Cognitive radio technology can effectively improve spectrum efficiency in wireless networks and is also applicable to vehicle small-cell networks. In this paper, we consider the problem of spectrum sharing among a vehicle primary user (V-PU) and multiple vehicle secondary users (V-SUs). This problem is modeled as a competition market, and the solution for V-SUs is designed using a non-cooperative game. A utility function that measures the profit of the V-PU considering quality of service (QoS) is proposed, aiming at maximizing the profit of the V-PU. Nash equilibrium is obtained as the best solution in our game. Then, the realistic vehicle-enabled cognitive small-cell network is considered in building the dynamic spectrum allocation problem. The V-SUs adjust their current strategies gradually and iteratively based on the observations on the strategies of the previous moment. This adjustment parameter is controlled by the frequency of adjustment. The stability analysis of the dynamic game is given out subsequently for dynamic spectrum allocation. The numerical results show the effectiveness of the proposed dynamic spectrum scheme for vehicle-enabled cognitive small-cell networks and Nash equilibrium point’s existence.

Research on Dynamic Spectrum Allocation Using Cognitive Radio Technologies

2012 ◽  
Vol 35 (3) ◽  
pp. 446-453 ◽  
Author(s):  
Yu-Ming GE ◽  
Yi SUN ◽  
Hai JIANG ◽  
Jun LI ◽  
Zhong-Cheng LI
Keyword(s):  
Cognitive Radio ◽  
Dynamic Spectrum ◽  
Spectrum Allocation ◽  
Dynamic Spectrum Allocation

Dynamic Spectrum Allocation Scheme for Heterogeneous Network

2016 ◽  
Vol 95 (2) ◽  
pp. 299-315 ◽  
Author(s):  
Mohammad Kamrul Hasan ◽  
Ahmad Fadzil Ismail ◽  
Shayla Islam ◽  
Wahidah Hashim ◽  
Bishwajeet Pandey
Keyword(s):  
Heterogeneous Network ◽  
Dynamic Spectrum ◽  
Spectrum Allocation ◽  
Allocation Scheme ◽  
Dynamic Spectrum Allocation
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