Dhaval K. Patel

Orcid: 0000-0002-1350-4959

Affiliations:
  • Ahmedabad University, India


According to our database1, Dhaval K. Patel authored at least 55 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Deep RL-Based Smart Signaling Using Space-Time Vehicular Features Under C-V2X Scenario.
Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

Millimeter- Wave Vehicle-to-Infrastructure Communications for Autonomous Vehicles: Location-Aided Beam Forecasting in 6G.
Proceedings of the 16th International Conference on COMmunication Systems & NETworkS, 2024

2023
Restricting passive attacks in 6G vehicular networks: a physical layer security perspective.
Wirel. Networks, April, 2023

Optimal 3GPP Fairness Parameters in 5G NR Unlicensed (NR-U) and WiFi Coexistence.
IEEE Trans. Veh. Technol., April, 2023

EMED-UNet: An Efficient Multi-Encoder-Decoder Based UNet for Medical Image Segmentation.
IEEE Access, 2023

Facial Expression Recognition using Convolutional Neural Network through Region-based Patch Generation: Harnessing Subtle Facial Cues.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Rate Forecaster based Energy Aware Band Assignment in Multiband Networks.
Proceedings of the IEEE Global Communications Conference, 2023

Novel Crash Prevention Framework for C-V2X using Deep Learning.
Proceedings of the 15th International Conference on COMmunication Systems & NETworkS, 2023

VeCEn: A Data Acquisition Framework for Heterogeneous Vehicular Networks.
Proceedings of the 15th International Conference on COMmunication Systems & NETworkS, 2023

Deep Learning aided Energy Efficient Band Assignment in Multiband Heterogeneous Networks.
Proceedings of the 20th IEEE Consumer Communications & Networking Conference, 2023

2022
On Sensing Performance of Multi-Antenna Mobile Cognitive Radio Conditioned on Primary User Activity Statistics.
IEEE Trans. Wirel. Commun., 2022

Impact of Primary User Activity Statistics in Cognitive Vehicular Networks.
IEEE Trans. Veh. Technol., 2022

An approach to implement Reinforcement Learning for Heterogeneous Vehicular Networks.
CoRR, 2022

PU-DetNet: Deep Unfolding Aided Smart Sensing Framework for Cognitive Radio.
IEEE Access, 2022

Modelling the Impact of Multiple Pro-inflammatory Cytokines Using Molecular Communication.
Proceedings of the 27th National Conference on Communications, 2022

On the Performance of an Improved Energy Detector over Shadow Fading Channels for Vehicular Networks.
Proceedings of the 14th International Conference on COMmunication Systems & NETworkS, 2022

2021
Performance Analysis of NOMA in Vehicular Communications Over i.n.i.d Nakagami-m Fading Channels.
IEEE Trans. Wirel. Commun., 2021

Physical Layer Security in Cognitive Vehicular Networks.
IEEE Trans. Commun., 2021

Weighted Cooperative Spectrum Sensing for Cognitive Vehicular Networks.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

Impact of Mobility on the Estimation of Primary Channel Activity Statistics.
Proceedings of the 94th IEEE Vehicular Technology Conference, 2021

LSTM Autoencoder aided Estimation of Primary Activity Statistics under Imperfect Sensing.
Proceedings of the 13th International Conference on COMmunication Systems & NETworkS, 2021

Distributed Spectrum Sensing for Cognitive Vehicular Networks using Quasi-Newton Optimization.
Proceedings of the 13th International Conference on COMmunication Systems & NETworkS, 2021

2020
Artificial neural network design for improved spectrum sensing in cognitive radio.
Wirel. Networks, 2020

Estimation of Primary Channel Activity Statistics in Cognitive Radio Based on Imperfect Spectrum Sensing.
IEEE Trans. Commun., 2020

Improved likelihood ratio statistic-based cooperative spectrum sensing for cognitive radio.
IET Commun., 2020

On the energy detection performance of multi-antenna correlated receiver for vehicular communication using MGF approach.
IET Commun., 2020

Long Short-Term Memory Based Spectrum Sensing Scheme for Cognitive Radio Using Primary Activity Statistics.
IEEE Access, 2020

Reconstruction Algorithm for Primary Channel Statistics Estimation Under Imperfect Spectrum Sensing.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

Sample Size Analysis of Energy Detection under Fading Channels.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference Workshops, 2020

Mathematical Models for the Accuracy of the Estimated Distribution of Primary Activity Times in Dynamic Spectrum Access Systems.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference Workshops, 2020

Methods for Fast Estimation of Primary Activity Statistics in Cognitive Radio Systems.
Proceedings of the 2020 IEEE Wireless Communications and Networking Conference, 2020

On Physical Layer Security over α - η -κ -μ Fading for Relay based Vehicular Networks.
Proceedings of the International Conference on Signal Processing and Communications, 2020

Analysis of the Sample Size Required for an Accurate Estimation of Primary Channel Activity Statistics under Imperfect Spectrum Sensing.
Proceedings of the 31st IEEE Annual International Symposium on Personal, 2020

Performance Analysis of NOMA aided Cooperative Relaying over α-η-κ-µ Fading Channels.
Proceedings of the 2020 National Conference on Communications, 2020

Cognitive Intelligence with Adaptive MAC Vehicular Ad-Hoc Network Optimization.
Proceedings of the 2020 International Conference on Artificial Intelligence in Information and Communication, 2020

Performance Analysis of Arbitrary Correlated Multiantenna Receiver for Mobile Cognitive User.
Proceedings of the IEEE Global Communications Conference, 2020

Prediction for the Second Wave of COVID-19 in India.
Proceedings of the Big Data Analytics - 8th International Conference, 2020

2019
On the estimation of primary user activity statistics for long and short time scale models in cognitive radio.
Wirel. Networks, 2019

Estimation of Primary Channel Activity Statistics in Cognitive Radio Based on Periodic Spectrum Sensing Observations.
IEEE Trans. Wirel. Commun., 2019

On the Sample Size for the Estimation of Primary Activity Statistics Based on Spectrum Sensing.
IEEE Trans. Cogn. Commun. Netw., 2019

On the Energy Detection Performance of Arbitrarily Correlated Dual Antenna Receiver for Vehicular Communication.
IEEE Commun. Lett., 2019

Sigmoid Approximation to the Gaussian $Q$-function and its Applications to Spectrum Sensing Analysis.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Accurate Noise Floor Calibration based on Modified Expectation Maximisation of Gaussian Mixture.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019

Experimental Performance Evaluation of Improved Energy Detection under Noise Uncertainty in Low SNR Regime.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop, 2019

On the Joint Impact of SU Mobility and PU Activity in Cognitive Vehicular Networks with Improved Energy Detection.
Proceedings of the 89th IEEE Vehicular Technology Conference, 2019

Long Short-Term Memory based Spectrum Sensing Scheme for Cognitive Radio.
Proceedings of the 30th IEEE Annual International Symposium on Personal, 2019

Primary Channel Duty Cycle Estimation under Imperfect Spectrum Sensing Based on Mean Channel Periods.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

2018
Cooperative Estimation of Primary Traffic Under Imperfect Spectrum Sensing and Byzantine Attacks.
IEEE Access, 2018

Distribution-Free Spectrum Sensing for Full Duplex Cognitive Radio.
Proceedings of the 88th IEEE Vehicular Technology Conference, 2018

Performance Analysis of Improved Energy Detection in Full Duplex Non-Time-Slotted Cognitive Radio.
Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2018

2017
Artificial neural network based hybrid spectrum sensing scheme for cognitive radio.
Proceedings of the 28th IEEE Annual International Symposium on Personal, 2017

Spectrum Occupancy Classification Using SVM-Radial Basis Function.
Proceedings of the Cognitive Radio Oriented Wireless Networks, 2017

2016
LRS- G^2 G 2 Based Non-parametric Spectrum Sensing for Cognitive Radio.
Proceedings of the Cognitive Radio Oriented Wireless Networks, 2016

2015
Non-parametric Blind Spectrum Sensing Based on Censored Observations for Cognitive radio.
J. Signal Process. Syst., 2015

2010
Performance Analysis of Reactive Routing Protocols with OSPF for IEEE 802.11s Wireless Mesh Network.
Proceedings of the Information Processing and Management, 2010


  Loading...