A downlink/uplink identification algorithm for TDD communication systems in cognitive radio content

Geometric water-filling and radio resource management

10.32920/ryerson.14651814.v1 ◽

2021 ◽

Author(s):

Zhiming He

Keyword(s):

Cognitive Radio ◽

Resource Management ◽

Wireless Communication ◽

Communication Systems ◽

Optimization Problems ◽

Radio Resource Management ◽

Throughput Maximization ◽

Wireless Communication Systems ◽

Radio Resource ◽

Water Filling

This thesis considers the radio resource management (RRM) of advanced wireless communication systems. With the emerging of more advanced and more complicated systems, such as cognitive radio, nodes with energy harvesting capacities (green communications), and the application of Multiple-Input Multiple-Output (MIMO) technology, RRM problems introduce more difficulties and challenges to optimize system performances. Due to specific structure of communication systems, water-filling (WF) plays an important role in RRM. This thesis introduces the fundamental theory and development of WF algorithm. The proposed Geometric Water-Filling (GWF) is presented and compared with the conventional WF algorithms. It can break through the limitations of the conventional WF to solve the more complicated optimization problems in the advanced wireless communication systems. For the application of the proposed GWF to solve the RRM problems in the advanced MIMO communication systems, cognitive radio communication systems, green communication systems and the “dual problems”, which are the sum power minimization problems, of the throughput maximization problems is investigated in this thesis. Efficient algorithms are presented to achieve the optimal resource allocation.

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Spectrum Sensing Based on Nonparametric Autocorrelation in Wireless Communication Systems under Alpha Stable Noise

Mobile Information Systems ◽

10.1155/2016/6753830 ◽

2016 ◽

Vol 2016 ◽

pp. 1-6 ◽

Cited By ~ 4

Author(s):

Riqing Chen ◽

Jun Wang ◽

Ruiquan Lin ◽

Xiangning Zhao

Keyword(s):

Information Systems ◽

Cognitive Radio ◽

Wireless Communication ◽

Spectrum Sensing ◽

Communication Systems ◽

Impulsive Noise ◽

Wireless Communication Systems ◽

Core Technology ◽

Key Steps ◽

Stable Noise

Cognitive radio is regarded as a core technology to support wireless information systems. Spectrum sensing is one of the key steps to achieve cognitive radio technology. To address this problem in the presence of Alpha stable noise in wireless communication systems, we propose a nonparametric autocorrelation method, which takes advantages of the characteristics of signal autocorrelation and noise nonstationarity. The autocorrelated signal is distinguished from Alpha stable noise. As a result, the proposed method is immune from noise uncertainty. Simulation results show the validity of the proposed method under Alpha stable noise, for example, impulsive noise in wireless information systems.

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An improved least squares blind channel identification algorithm for linearly and affinely precoded communication systems

IEEE Signal Processing Letters ◽

10.1109/lsp.2002.803613 ◽

2002 ◽

Vol 9 (9) ◽

pp. 282-285 ◽

Cited By ~ 7

Author(s):

J.H. Manton

Keyword(s):

Least Squares ◽

Communication Systems ◽

Identification Algorithm ◽

Channel Identification ◽

Blind Channel Identification ◽

Blind Channel

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Geometric water-filling and radio resource management

10.32920/ryerson.14651814 ◽

2021 ◽

Author(s):

Zhiming He

Keyword(s):

Cognitive Radio ◽

Resource Management ◽

Wireless Communication ◽

Communication Systems ◽

Optimization Problems ◽

Radio Resource Management ◽

Throughput Maximization ◽

Wireless Communication Systems ◽

Radio Resource ◽

Water Filling

This thesis considers the radio resource management (RRM) of advanced wireless communication systems. With the emerging of more advanced and more complicated systems, such as cognitive radio, nodes with energy harvesting capacities (green communications), and the application of Multiple-Input Multiple-Output (MIMO) technology, RRM problems introduce more difficulties and challenges to optimize system performances. Due to specific structure of communication systems, water-filling (WF) plays an important role in RRM. This thesis introduces the fundamental theory and development of WF algorithm. The proposed Geometric Water-Filling (GWF) is presented and compared with the conventional WF algorithms. It can break through the limitations of the conventional WF to solve the more complicated optimization problems in the advanced wireless communication systems. For the application of the proposed GWF to solve the RRM problems in the advanced MIMO communication systems, cognitive radio communication systems, green communication systems and the “dual problems”, which are the sum power minimization problems, of the throughput maximization problems is investigated in this thesis. Efficient algorithms are presented to achieve the optimal resource allocation.

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Anti-Wiretap Spectrum-Sharing for Cooperative Cognitive Radio Communication Systems

Sensors ◽

10.3390/s19194142 ◽

2019 ◽

Vol 19 (19) ◽

pp. 4142

Author(s):

Peiyuan Si ◽

Weidang Lu ◽

Kecai Gu ◽

Xin Liu ◽

Bo Li ◽

...

Keyword(s):

Cognitive Radio ◽

Wireless Communication ◽

Cooperative Communication ◽

Communication Systems ◽

Spectrum Sharing ◽

Transmission Rate ◽

Primary System ◽

Radio Communication ◽

Sharing Scheme ◽

Simulation Results

As wireless communication technology keeps progressing, people’s requirements for wireless communication quality are getting higher and higher. Wireless communication brings convenience, but also causes some problems. On the one hand, the traditional static and fixed spectrum allocation strategy leads to high wastefulness of spectrum resources. The direction of improving the utility of spectrum resources by combining the advantages of cooperative communication and cognitive radio has attracted the attention of many scholars. On the other hand, security of communication is becoming an important issue because of the broadcasting nature and openness of wireless communication. Physical-layer security has been brought into focus due to the possibility of improving the security in wireless communication. In this paper, we propose an anti-wiretap spectrum-sharing scheme for cooperative cognitive radio communication systems which can secure the information transmission for the two transmission phases of the cooperative communication. We maximized the secondary system transmission rate by jointly optimizing power and bandwidth while ensuring the primary system achieves its secrecy transmission rate. Useful insights of the proposed anti-wiretap spectrum-sharing scheme are given in the simulation results. Moreover, several system parameters are shown to have a big impact for the simulation results.

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