D2D/WIRELESS COMMUNICATION/6G Title List - 2023
S.No
Project Code
Project Titles
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01
ITWC01
Resource Allocation in the RIS Assisted SCMA Cellular Network Coexisting With D2D Communications
02
ITWC02
D2D Cooperative Communication Network Resource Allocation Algorithm Based on Improved Monte Carlo Tree Search
03
ITWC03
On the Effect of Malicious User on D2D Cluster: CSI Forgery and Countermeasures
04
ITWC04
Energy-Efficient Utility Function-Based Channel Resource Allocation and Power Control for D2D Clusters With NOMA Enablement in Cellular Networks
05
ITWC05
A D2D-Aided Federated Learning Scheme with Incentive Mechanism in 6G Networks
06
ITWC06
Toward Optimal DoF Maximization With Interference Categorization Using TIM and SIC
08
ITWC08
Performance Analysis of Reconfigurable Intelligent Surface-Assisted Wireless Communication Systems Under Co-Channel Interference
09
ITWC09
Environment-Aware Joint Active/Passive Beamforming for RIS-Aided Communications Leveraging Channel Knowledge Map
10
ITWC10
A CNN-LSTM-Based Fusion Separation Deep Neural Network for 6G Ultra-Massive MIMO Hybrid Beamforming
11
ITWC11
Capacity Enhancement of Flying-IRS Assisted 6G THz Network Using Deep Reinforcement Learning
12
ITWC12
An Adaptive Biomimetic Ant Colony Optimization With 6G Integration for IoT Network Communication
13
ITWC13
Deep Learning-Based Blind Multiple User Detection for Grant-Free SCMA and MUSA Systems
14
ITWC14
Deep Reinforcement Learning Based Algorithm for Symbiotic Radio IoT Throughput Optimization in 6G Network
15
ITWC15
Performance Assessment of a RIS-Empowered Post-5G/6G Network Operating at the mmWave/THz Bands
16
ITWC16
A D2D-Aided Federated Learning Scheme with Incentive Mechanism in 6G Networks
17
ITWC17
Collaborative Energy-Efficient Routing Protocol for Sustainable Communication in 5G/6G Wireless Sensor Networks
18
ITWC18
Towards Deep Learning-aided Wireless Channel Estimation and Channel State Information Feedback for 6G
20
ITWC20
The Performance of Supervised Machine Learning Based Relay Selection in Cooperative NOMA
