Cognitive Radio Network Performance Optimization
Summary
Cognitive radio networks (CRNs) represent a dynamic paradigm in wireless communications, enabling unlicensed users to access underutilised spectral bands without degrading primary services. Performance optimisation in CRNs encompasses spectrum sensing accuracy, interference management, adaptive resource allocation and intelligent transmission strategies. Central to this endeavour is the fine-grained control of transmit power and modulation schemes, which ensures compliance with interference thresholds while maximising secondary throughput. Techniques such as underlay dynamic spectrum access permit secondary users to coexist with primary networks by continuously estimating channel conditions and adjusting their parameters in real time. Machine learning and deep-learning methods are increasingly deployed to predict interference impacts, automate relay selection and optimise beamforming vectors. Advances in multiple-input multiple-output (MIMO) and massive MIMO architectures have further enhanced spatial multiplexing gains, facilitating higher data rates under stringent interference constraints. Multi-objective optimisation frameworks balance ergodic sum rates against interference power budgets, employing weighted sums or game-theoretic formulations to achieve fairness and spectral efficiency. Practical applications span next-generation mobile networks, unmanned aerial vehicle communications, emergency ad-hoc deployments and Internet-of-Things ecosystems, where adaptive spectrum sharing underpins resilient, high-capacity services on a global scale.
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Cognitive Radio Network Performance Optimization publication trend
The graph below shows the total number of articles in cognitive radio network performance optimization across all publications each year (not limited to Nature Index journals).
Technical terms
Cognitive Radio Network: A wireless system in which secondary users adaptively access spectrum without harming primary users.
Underlay Dynamic Spectrum Access: A mode where secondary transmissions occur concurrently with primary ones under strict interference limits.
Interference Efficiency: A performance metric expressing transmitted bits per unit interference energy on primary users.
Massive MIMO: A multi-antenna technology using dozens to hundreds of antennas to enhance spectral and energy efficiency.
Channel State Information (CSI): Knowledge of channel characteristics used to optimise transmission parameters.
Beamforming: Directional signal transmission or reception using antenna arrays to improve link quality and control interference.
References
- Neural Network Cognitive Engine for Autonomous and Distributed Underlay Dynamic Spectrum Access. IEEE Open Journal of the Communications Society (2021).
- Interference Efficiency: A New Metric to Analyze the Performance of Cognitive Radio Networks. IEEE Transactions on Wireless Communications (2017).
- CRDN: Cognitive Radio with Deep Network for Proficient Spectrum Sharing in Massive MIMO Systems. Brazilian Archives of Biology and Technology (2024).
- Game theoretic approach for joint transmit beamforming and power control in cognitive radio MIMO broadcast channels. EURASIP Journal on Wireless Communications and Networking (2016).
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