Modeling and Simulink of Multi band multi user CRN by maximizing transmitting power
Implementation Plan:
Step 1: Initially we construct a multi-user multiband Cognitive Radio Networks (CRN) with 40-Vehicle users and 4-Base stations.
Step 2: Next we implement hybrid K-hop cluster-based joint optimisation strategy (HK-hop-JOS), a cognitively driven grouping Strategy to group the network.
Step 3: Next we develop an Adaptive spectrum distribution using stochastic optimisation methods to distribute spectrum resources.
Step 4: Next we control the interfaces using Repeated Game theory to improve overall network performance.
Step 5: Then we use Bellman-Ford Dingo optimisation (BFDOA) for optimum route selection process to make smooth communication between user and base stations.
Step 6: The performance measures that are used include
6.1: Energy consumption
6.2: Number of alive nodes
6.3: Throughput
6.4: Packet delivery ratio
6.5: Routing overhead
6.6: Total transmission power
6.7: Average network lifetime
Software Details:
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1) Development Tool: Matlab- R2020a and above version
2. Operating System: Window 10 [64-bits]
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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.
We perform the EXISTING process based on the Reference 3: Title: Hybrid Machine-Learning-Based Spectrum Sensing and Allocation With Adaptive Congestion-Aware Modeling in CR-Assisted IoV Networks
