Junsheng Mu
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View article: UAV-Enabled Joint Sensing, Communication, Powering and Backhaul Transmission in Maritime Monitoring Networks
UAV-Enabled Joint Sensing, Communication, Powering and Backhaul Transmission in Maritime Monitoring Networks Open
This paper addresses the challenge of energy-constrained maritime monitoring networks by proposing an unmanned aerial vehicle (UAV)-enabled integrated sensing, communication, powering and backhaul transmission scheme with a tailored time-d…
View article: Masked Modulation: High-Throughput Half-Duplex ISAC Transmission Waveform Design
Masked Modulation: High-Throughput Half-Duplex ISAC Transmission Waveform Design Open
Integrated sensing and communication (ISAC) enables numerous innovative wireless applications. Communication-centric design is a practical choice for the construction of the sixth generation (6G) ISAC networks. Continuous-wave-based ISAC s…
View article: Federated Learning in Active STARS-Aided Uplink Networks
Federated Learning in Active STARS-Aided Uplink Networks Open
Active simultaneously transmitting and reflecting surfaces (ASTARS) have attracted growing research interest due to its ability to alleviate multiplicative fading and reshape the electromagnetic environment across the entire space. In this…
View article: UAV-Enabled Integrated Sensing and Communication in Maritime Emergency Networks
UAV-Enabled Integrated Sensing and Communication in Maritime Emergency Networks Open
With line-of-sight mode deployment and fast response, unmanned aerial vehicle (UAV), equipped with the cutting-edge integrated sensing and communication (ISAC) technique, is poised to deliver high-quality communication and sensing services…
View article: Optimal Precoding Design for Monostatic ISAC Systems: MSE Lower Bound and DoF Completion
Optimal Precoding Design for Monostatic ISAC Systems: MSE Lower Bound and DoF Completion Open
In this letter, we study the parameter estimation performance for monostatic downlink integrated sensing and communications (ISAC) systems. In particular, we analyze the mean squared error (MSE) lower bound for target sensing in the downli…
View article: Radio resource management for OFDM-based dual-function radar-communication: sum-rate and fairness
Radio resource management for OFDM-based dual-function radar-communication: sum-rate and fairness Open
This paper focuses on radio resource management (RRM) in multi-user dual-function radar communication (DFRC) systems using orthogonal frequency division multiplexing (OFDM) waveforms. We propose two RRM schemes, one from the perspective of…
View article: Optimal resource allocation strategy for integrated sensing and communication cellular network with multiple user demands
Optimal resource allocation strategy for integrated sensing and communication cellular network with multiple user demands Open
Future communication networks are widely considered to be able to provide both high‐speed communication service and reliable sensing service. Integrated sensing and communication (ISAC) is considered to be the key technology to realize thi…
View article: Joint optimization of sampling point and sensing threshold for spectrum sensing
Joint optimization of sampling point and sensing threshold for spectrum sensing Open
With the continuous evolution and in‐depth integration between wireless communication and emerging technology such as internet of things (IoT), artificial intelligence (AI) etc., wireless terminals are growing exponentially, thus bringing …
View article: Hybrid traffic scheduling in time‐sensitive networking for the support of automotive applications
Hybrid traffic scheduling in time‐sensitive networking for the support of automotive applications Open
Time‐sensitive networking (TSN) is considered one of the most promising solutions to address real‐time scheduling in in‐vehicle network due to its capabilities for providing deterministic service. The TSN working group proposed various tra…
View article: Vision and Radar Multimodal Aided Beam Prediction: Facilitating Metaverse Development
Vision and Radar Multimodal Aided Beam Prediction: Facilitating Metaverse Development Open
The metaverse requires enhanced communication rates and increased capacity, which can be attained by utilizing millimeter wave (mmWave) and terahertz (THz) communication systems along with large-scale antenna arrays. However, these systems…
View article: Spectrum sensing based on adversarial transfer learning
Spectrum sensing based on adversarial transfer learning Open
Recently, deep learning (DL) based spectrum sensing (SS) has drawn much attention due to its better capacity of feature extraction and superb performance. However, the model robustness of the DL based scheme is limited by reason of the dyn…
View article: Non-Cooperative UAV Detection with Semi-Adaptive Sampling of Control Signal and SNR Estimation
Non-Cooperative UAV Detection with Semi-Adaptive Sampling of Control Signal and SNR Estimation Open
This paper proposes a non-cooperative unmanned aerial vehicle (UAV) signal detection strategy based on a multichannel control signal with an energy detector (ED), wherein the sampling point of the control signal on each subchannel is adjus…
View article: Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends, and Challenges
Integrating Sensing and Communications for Ubiquitous IoT: Applications, Trends, and Challenges Open
Recent advances in wireless communication and solid-state circuits together with the enormous demands of sensing ability have given rise to a new enabling technology, integrated sensing and communications (ISAC). The ISAC captures two main…
View article: Spectrum sensing based on adaptive sampling of received signal
Spectrum sensing based on adaptive sampling of received signal Open
Spectrum sensing (SS) has been heatedly discussed due to its capacity to discover the idle registered spectrum bands, which effectively alleviates the shortage of spectrum by spectrum reuse. Energy detector (ED) is widely accepted for SS a…
View article: Spectrum Sensing Based on Adaptive Sampling of Received Signal
Spectrum Sensing Based on Adaptive Sampling of Received Signal Open
Spectrum sensing (SS) has been heatedly discussed due to its capacity to discover the idle registered spectrum bands, which effectively alleviates the shortage of spectrum by spectrum reuse. Energy detector (ED) is widely accepted for SS a…
View article: CNN and DCGAN for Spectrum Sensors over Rayleigh Fading Channel
CNN and DCGAN for Spectrum Sensors over Rayleigh Fading Channel Open
Spectrum sensing (SS) has attracted much attention in the field of Internet of things (IoT) due to its capacity of discovering the available spectrum holes and improving the spectrum efficiency. However, the limited sensing time leads to i…
View article: Computation‐constrained spectrum sensing in IoT‐based scenarios
Computation‐constrained spectrum sensing in IoT‐based scenarios Open
As a key technology to discover idle spectrum in cognitive radio (CR) networks, classical spectrum sensing schemes mainly focus on the improvement of sensing accuracy and available throughput. However, both sensing performance and sensing …
View article: Performance Analysis of Agile-Beam NOMA in Millimeter Wave Networks
Performance Analysis of Agile-Beam NOMA in Millimeter Wave Networks Open
We propose an agile-beam non-orthogonal multiple access (NOMA) scheme for millimeter wave (mmWave) communication networks. The agile-beam NOMA scheme flexibly switches between the single/multi-beam NOMA depending on the user pairing result…
View article: Dynamic Rotated Angular Beamforming Using Frequency Diverse Phased-Array for Secure MmWave Wireless Communications
Dynamic Rotated Angular Beamforming Using Frequency Diverse Phased-Array for Secure MmWave Wireless Communications Open
In this paper, we propose a new secure millimeter-wave wireless communication architecture called dynamic rotated angular beamforming (DRAB), to address the physical layer security (PLS) challenge for aligned transmitter, eavesdropper and …
View article: A Novel Sensing Strategy Based on Energy Detector for Spectrum Sensing
A Novel Sensing Strategy Based on Energy Detector for Spectrum Sensing Open
Sensing strategy directly influences the sensing accuracy of a spectrum sensing scheme. As a result, the optimization of a sensing strategy appears to be of great significance for accuracy improvement in spectrum sensing. Motivated by this…
View article: Complexity based Sensing Strategy for Spectrum Sensing in Cognitive Radio Networks
Complexity based Sensing Strategy for Spectrum Sensing in Cognitive Radio Networks Open
Spectrum sensing has attracted much attention due to its significant contribution to idle spectrum detection in Cognitive Radio Networks.However, specialized discussion is on complexity-based sensing strategy for spectrum sensing seldom co…
View article: A Further Exploration of Multi-Slot Based Spectrum Sensing
A Further Exploration of Multi-Slot Based Spectrum Sensing Open
Spectrum sensing (SS) exhibits its advantages in the era of Internet of Things (IoT) due to limited spectrum resource and a lower utilization rate of authorized spectrum. In consequence, the performance improvement of SS seems a matter of …
View article: Multistage spectrum sensing scheme with SNR estimation
Multistage spectrum sensing scheme with SNR estimation Open
Multistage detection has inspired a heated debate due to its capacity to take full advantage of each detector. Motivated by this, an investigation into multistage spectrum sensing is conducted and a two‐stage spectrum detector is proposed …
View article: A Spectrum Sensing Scheme Based on Subspace Filtering
A Spectrum Sensing Scheme Based on Subspace Filtering Open
Spectrum sensing (SS) has attracted much concern of researchers due to its significant contribution on the spectral efficiency. Energy Detection (ED) has been a critical method for Spectrum Sensing in Cognitive Radio Networks (CRNS) due to…
View article: A New Fuzzy Key Generation Method Based on PHY-Layer Fingerprints in Mobile Cognitive Radio Networks
A New Fuzzy Key Generation Method Based on PHY-Layer Fingerprints in Mobile Cognitive Radio Networks Open
Classical key generation is complicated to update and key distribution generally requires fixed infrastructures.In order to eliminate these restrictions researchers have focused much attention on physical-layer (PHY-layer) based key genera…