Modeling and Simulink of Random Trajectory Tracking Using an 8×8 Antenna Array with Subarray Division
Implementation plan:
Step 1: Initially, we will construct a 8*8 Uniform Rectangular Antenna Array in Matlab.
Step 2: Next, we divide that array into subarrays in which antenna elements are allocated to different trajectories.
Step 3: Next, we implement K-Means Clustering for Dynamic element allocation based on the user movements in the subarrays. Here we track the user and nullify the effect of interference.
Step 4: Finally, we plot performance for the following metrics:
4.1: Number of Antennas vs. Execution Time (ms).
4.2: Number of Antennas vs. Response Time (ms).
4.3: Number of Antennas vs. Mean Squared Error.
Software Requirements:
1. Development Tool: Matlab-R2023a and above
2. Operating System: Windows-10 (64-bit)
Note: –
1. We make a simulation based process only, not a real time process.
2. If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.
3. Please note that this implementation plan does not include any further steps after it is put into implementation.
4. If the above plan satisfies your requirement, please confirm us soon.
5. If the algorithm mentioned in the plan doesn’t satisfy your requirement, Kindly provide us an algorithm with a reference paper related to it. We will Update it accordingly.
We will develop an Existing Project Based on your Requirement:
Title: – Hybrid Beamforming for Massive MIMO Using Rectangular Antenna Array Model in 5G Wireless Networks
