Low Complexity Hybrid Precoder Combiner Design for MU MIMO System

Опубликовано: 29 Январь 2025
на канале: MatlabSimulation. Com
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Title:- Low Complex Hybrid Precoder/Combiner Design for MU-MIMO System Using DRL Assisted Dynamic Hybrid Relay Reflecting Reconfigurable Intelligent Surface
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Implementation plan:
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Step 1: Initially we designed the DHRR-RIS Design model in matlab simulink.

Step 2: Next we perform the Machine Learning based CSI Estimation process, In this step the pilot signals sent by both transmitters and receiver and the channel estimation performed by using Adaptive Back Propagation Neural Network (ABPNN) algorithm. In this step we consider the channel state and channel vector based metrics such as AoA, DoA, ToA, channel gain, propagation characteristics, and environmental condition.

Step 3: Next, Data Stream Optimization & Scheduling process, In this process we clustered the data streams into public and private streams using Enhanced Fuzzy C-Means clustering (EFCM) algorithm. The clustered data streams are scheduled into two levels of time scales such as public time scale and private time scale.

Step 4: Next, we DRL based Cooperative Hybrid Precoder/Combiner Design, In this process The scheduled data streams and estimated channel vectors are provided as the input to the DRL agent. Next the vector modulated phase shifters in the DHRR-RIS side using DRL algorithm and optimization named Deep Deterministic Policy Gradient (DA-DDPG) and Fire Hawk Optimization (FHO) algorithm. Finally, hybrid beamforming is realized in which the beams are reflected by the adjusted passive elements to the receivers.

Step 5: The proposed work is evaluated in terms of performance metrics such as,
• Number of Reflecting Elements Vs Weighted Sum Rate
• Number of Transmitter Antenna Vs Weighted Sum Rate
• Number of User Antenna Vs Weighted Sum Rate
• Number of RF-DAC/ADC pairs Vs Bit Error Rate
• Number of Pilots Vs Bit Error Rate
• Data Streams Vs Spectral Efficiency
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Software requirements:
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1. Tool: Matlab R2020a/Simulink
2. Operating System: Windows 10-(64-bit)

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Note:-
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We make a simulation based process only.

We perform the EXISTING process based on the REFERENCE 1 Title: - Reconfigurable intelligent surface based hybrid precoding for THz communications