Performance Analysis of High Speed Railway Integrated Sensing and Communication System
Implementation plan:
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Step 1: Initially, we construct a HSR ISAC environment with 11- mobile relays, 1- base station (BS) and 1- reconfigurable intelligent surface (RIS)
Step 2: Then, we Generate statistical channel state information (CSI) data, including direct and RIS-assisted channels using a Rician LOS + NLOS fading model and introduce the Doppler effect based on train velocity.
Step 3: Next, we Maximize sum rate by optimizing beamforming using the CVX-SCA algorithm and optimizing RIS phase shift (ϕ) using a local search algorithm.
Step 4: Next, we Optimize BS transmit power allocation using CVX by transforming the non-convex problem into a convex form.
Step 5: Next, we Implement a deep reinforcement learning (DRL)-based RIS phase shift optimization method to dynamically adapt to time-varying channel conditions.
Step 6: Next, we analyze impact on the system using Carrier Frequency Offset (CFO) estimation with IQ imbalance analysis.
Step 7: Finally, we plot performance metrics for the following
7.1: Doppler Shift (Hz) vs. Sum Rate (bps/Hz)
7.2: CFO (Hz) vs. Sum Rate (bps/Hz)
7.3: IQ Imbalance (dB) vs. BER
7.4: BER vs. SNR (dB)
7.5: Number of RIS Elements vs. Sum Rate (bps/Hz)
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 plan does not meet your requirements, provide detailed steps, parameters, models, or expected results in advance. Once implemented, changes won’t be possible without prior input; otherwise, we’ll proceed as per our implementation plan.
2) If the plan satisfies your requirement, Please confirm with us.
3) Project based on Simulation only, not a real time project.
4) Please understand that any modifications made to the confirmed implementation plan will not be made after the project development.
