What is he best known for?
The fields of study he is best known for:
- Telecommunications
- Algorithm
- Statistics
His main research concerns Cognitive radio, Algorithm, Communication channel, Covariance matrix and Detection theory.
His research investigates the link between Cognitive radio and topics such as False alarm that cross with problems in Constant false alarm rate.
Yonghong Zeng combines subjects such as Subspace topology, Noise and White noise with his study of Algorithm.
His biological study spans a wide range of topics, including Noise power, Software-defined radio and Telecommunications link.
His Software-defined radio research includes themes of Wireless, Throughput and Real-time computing.
His studies in Detection theory integrate themes in fields like Sample mean and sample covariance, Test statistic and Signal processing.
His most cited work include:
- Sensing-Throughput Tradeoff for Cognitive Radio Networks (2525 citations)
- Eigenvalue-based spectrum sensing algorithms for cognitive radio (966 citations)
- A review on spectrum sensing for cognitive radio: challenges and solutions (581 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Algorithm, Communication channel, Cognitive radio, Electronic engineering and Orthogonal frequency-division multiplexing.
His Algorithm study incorporates themes from Subspace topology, Detection theory, Noise and Upper and lower bounds.
The various areas that he examines in his Communication channel study include Noise power, Control theory and Software-defined radio.
His Software-defined radio research is multidisciplinary, relying on both Radar and Real-time computing.
His Cognitive radio research incorporates elements of False alarm, Energy, Computer network and Throughput.
Yonghong Zeng combines subjects such as Wireless sensor network and Radio spectrum with his study of Wireless.
He most often published in these fields:
- Algorithm (49.15%)
- Communication channel (38.98%)
- Cognitive radio (36.44%)
What were the highlights of his more recent work (between 2011-2021)?
- Orthogonal frequency-division multiplexing (27.97%)
- Cognitive radio (36.44%)
- Electronic engineering (27.97%)
In recent papers he was focusing on the following fields of study:
Yonghong Zeng spends much of his time researching Orthogonal frequency-division multiplexing, Cognitive radio, Electronic engineering, Algorithm and Real-time computing.
His Orthogonal frequency-division multiplexing study necessitates a more in-depth grasp of Communication channel.
His studies deal with areas such as Interference and Control theory as well as Communication channel.
He interconnects Signal-to-noise ratio, Throughput and Robustness in the investigation of issues within Cognitive radio.
His study on Electronic engineering also encompasses disciplines like
- Energy which connect with False alarm,
- Waveform together with Flexibility and Spectral efficiency.
His studies in Algorithm integrate themes in fields like Statistics and Noise.
Between 2011 and 2021, his most popular works were:
- Spectrum Sensing for OFDM Signals Using Pilot Induced Auto-Correlations (36 citations)
- On the Eigenvalue-Based Spectrum Sensing and Secondary User Throughput (31 citations)
- Spectrum Sensing for Digital Primary Signals in Cognitive Radio: A Bayesian Approach for Maximizing Spectrum Utilization (30 citations)
In his most recent research, the most cited papers focused on:
- Telecommunications
- Algorithm
- Statistics
Cognitive radio, Electronic engineering, Detector, Energy and Throughput are his primary areas of study.
His Cognitive radio research is multidisciplinary, incorporating perspectives in Subcarrier, Fast Fourier transform, Throughput and Computer engineering.
His Electronic engineering research includes themes of Detection theory and Communication channel.
His Communication channel research includes elements of Time domain, Real-time computing and Filter bank.
The study incorporates disciplines such as False alarm, Algorithm and Noise in addition to Detector.
The Noise study combines topics in areas such as Signal-to-noise ratio, Constant false alarm rate and Likelihood-ratio test.
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