RIS-aided Dual-functional Radar and Communication Beamforming Design

This is the project submitted in fulfillment of requirements for the degree of MSc Communications and Signal Processing at Imperial College London.

Content

Techniques

• Communication and radar spectrum sharing
• Reconfigurable intelligent surface
• MIMO radar system
• MISO multi-user wireless communication system
• Weighted Minimum Mean Square Error (WMMSE) optimization framework [1]
• Fractional programming [2, 3]
• Semidefinite Relaxation (SDR) [4]

Contributions

• To our knowledge, this is the first study of WSR maximising for a RIS-aided DFRC system.
• This is also the first work that investigates the novel group or fully connected RIS model [5] in RIS-aided DFRC.
• Two alternating optimization algorithms for the proposed non-convex beamforming design.

Running the simulations

Prerequisites

• MATLAB
• CVX

Launch

Separated Deployment

>> cd simulation_separated\

For the tradoff and beampattern in Rayleigh channel plot, run

>> comparison_rician_0

For the tradoff and beampattern in LOS channel plot, run

>> comparison_rician_1000

For the effect of the number of reflecting elements plot, run

>> comparison_elements

To evaluate the convergence of algorithm, run

>> ris_aided_convergence

Shared Deployment

>> cd simulation_shared\

For the comparison of eigenvalue decomposition and Gaussian randomization plot, run

>> eigenvalue_gaussian_comparison

Others are the same as those in separated deployment.