Performance analysis of Energy Efficient UAV Enabled MEC Networks

Описание: Title :- Energy-Efficient UAV-Enabled MEC with RIS-Assisted NOMA for IoT Systems
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Implementation plan:
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Scenario 1:[with RIS]:
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Step 1: Initially, we will create an Environment with 100 = IoT Devices, 2 = UAV, 1 = RIS and 1 = Base station.

Step 2: Then, we estimate the channel State Information communication between UAV, RIS, IoT Devices.

Step 3: Next, we implement the Non-Orthogonal Multiple Access (NOMA) protocol for efficient resource allocation between multiple IoT devices.

Step 4: Next, we incorporate the Energy Efficiency Objective function to maximize the ratio of completed task bits to energy consumption.

Step 5: Next, we optimize the UAV trajectory, RIS phase shift, bit allocation and transmit power for IoT devices by using Dinkelbach’s method and Block Coordinate Descent (BCD) Algorithm.

Step 6: Next, we allocate the resource to IoT devices using the optimal bit allocation, power control and adjust the transmission power.

Step 7: Finally, we plot performance for the following metrics:

7.1: Number of Iteration vs. Energy efficiency (bits\J)

7.2: UAV Trajectories with RIS

7.3: Average Energy Efficiency with RIS

7.4: Number of RIS Element vs. Energy efficiency (bits\J)

Scenario 2:[without RIS]:
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Step 1: Initially, we will create an Environment with 100 = IoT Devices, 2 =UAV, and 1 = Base station.

Step 2: Then, we estimate the channel State Information communication between UAV, IoT Devices.

Step 3: Next, we implement the Non-Orthogonal Multiple Access (NOMA) protocol for efficient resource allocation between multiple IoT devices.

Step 4: Next, we incorporate the Energy Efficiency Objective function to maximize the ratio of completed task bits to energy consumption.

Step 5: Next, we optimize the UAV trajectory, bit allocation and transmit power for IoT devices by using Dinkelbach’s method and Block Coordinate Descent (BCD) Algorithm.

Step 6: Next, we allocate the resource to IoT devices using the optimal bit allocation, power control and adjust the transmission power.

Step 7: Finally, we plot performance for the following metrics:

7.1: Number of Iteration vs. Energy efficiency (bits\J)

7.2: UAV Trajectories without RIS

7.3: Average Energy Efficiency without RIS


Software Requirements:
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1. Development Tool: Matlab-R2023a or above

2. Operating System: Windows-10 (64-bit) 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] Please understand that any modifications made to the confirmed implementation plan will not be made before or after the project development.

[4] If the above plan satisfies your requirement please confirm with us.
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#EnergyEfficient
#UAVTechnology
#MECNetworks
#performanceanalysis
#droneinnovation
#SmartNetworks
#SustainableTech
#WirelessCommunication
#TechForGood
#FutureOfEnergy
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