Description: A Survey on Spectrum Management in
Cognitive Radio Networks
认知无线电网络的频谱管理(IEEE通信杂志 调研文献) Platform: |
Size: 129928 |
Author:ningqiqi |
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Description: 认知无线电中MAC层协议的综述性文章,很全面,值得一看。-A survey on MAC protocols for cognitive radio networks
Claudia Cormio , Kaushik R. Chowdhury Platform: |
Size: 457728 |
Author:吴迎笑 |
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Description: 在认知网络的MAC层设计中所用的可观察马尔科夫过程应用程序-applicated programme of POMDP on the MAC layer design in cognitive radio networks Platform: |
Size: 1024 |
Author:孙君 |
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Description: 用于认知网络中贪婪策略的部分可观察马尔科夫模型-POMDP model which is applied to greedy scheme in cognitive radio networks Platform: |
Size: 1024 |
Author:孙君 |
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Description: cognitive radio model as in an efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks Platform: |
Size: 2048 |
Author:sahar |
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Description: 经典的频谱共享的EI检索算法,运用动态频谱租用来提高频谱利用率。-Dynamic Spectrum Leasing (DSL) is a new
paradigm for efficient spectrum sharing in cognitive radio
networks that was recently proposed in [1]–[3]. Unlike in a
hierarchical dynamic spectrum access (DSA) network, DSL
allows active participation of both the primary and the secondary
users in the spectrum sharing process. In this paper we further
generalize the DSL game introduced in [2] by allowing for linear
multiuser detectors, in particular the matched filter (MF) and
linear minimum mean squared error (LMMSE) receivers, at the
secondary base stations. We establish the conditions so that the
DSL game has desired equilibrium properties. Performance of
the proposed system at the equilibrium is compared through
simulations Platform: |
Size: 183296 |
Author:刘小洋 |
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Description: 谱感知是认知无线网络中的一个重要功能,是实现其他功能的基础。研究了新型的基于特征值的感知算法,充分利用随机矩阵的渐近谱分布特性和特征值的收敛特性来设置判决门限,提高感知性能。理论分析和仿真结果均表明,新型算法性能明显优于典型的能量检测算法,克服了能量检测算法的噪声不确定性问题-Spectrum Sensing is an important function in the cognitive radio networks.A new eigenvalue-based detection scheme for spectrum sensing was studied,and decision thresholds were set to have good performance by using the property of asymptotic spectrum distribution and convergence of maximum eigenvalue of random matrices.Theoretical analysis and simulations results show that the new detection scheme can obviously outperform the classical energy detection,and overcome the noise uncertainty problem Platform: |
Size: 1029120 |
Author:曹蒙 |
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