Скачать или смотреть Performance Analysis of node selection in D2D Communication

Title:- Federated learning and distributed ML in cell-free environments for transmission mode selection in D2D communication.
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Implementation plan:
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Step 1: Initially, we construct a cell-free network with 100- users, 5-Access Points and 10- UE nodes.

Step 2: Next we perform D2D cluster communication between UEs.

Step 3: Next we Integrate LTE Proximity Services (LTE ProSE) to allow direct communication between UEs.

Step 4: Next we Implement a federated learning to train a model without sharing data.

Step 5: Next we Implement Transmission Mode Selection based on the trained model

Step 6: Implement communication protocols for UE nodes to exchange model updates

step 7: Finally we plot graph for the following

7.1 Accuracy

7.2 Energy consumption

7.3 Resource utilization


Software Requirement:
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1. Development Tool: Ns3.26 with Python or above

2. Development OS: Ubuntu 16.04 LTS or above

Note:
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1) If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.

2) Please note that this implementation plan does not include any further steps after it is put into implementation.

3) If the above plan satisfies your requirement please confirm with us.
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#D2DPerformanceAnalysis
#NodeSelectionStudy
#WirelessCommunicationResearch
#NetworkPerformanceEvaluation
#D2DTechnologyInsights
#DataAnalysisFindings
#CommunicationNetworks
#NodeSelectionOptimization
#WirelessDataTransfer
#D2DResearchInsights
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