Asmaa Abdallah

Reconfigurable Intelligent Surface,Massive Multiple-input Multiple-output,Phase Shift,Channel Estimation,Deep Reinforcement Learning,Discrete Fourier Transform,Massive Multiple-input Multiple-output Systems,Steering Vector,User Equipment,Additive Noise,Antenna Array,Beamforming Gain,Deep Learning,Digital Beamforming,Radio Frequency Chains,Analog Beamforming,Computational Complexity,Convolutional Neural Network,Deep Neural Network,Hybrid Beamforming,Normalized Mean Square Error,Orthogonal Frequency Division Multiplexing,Orthogonal Matching Pursuit,Singular Value Decomposition,Spatial Orientation,Wireless Systems,Accurate Channel State Information,Angle Of Arrival,Beam Reflectance,Beamforming Design,Beampattern,Channel Gain,Codebook Design,Communication Users,Convolutional Layers,Critic Network,Exhaustive Search,Information Bits,Large Antenna Arrays,Neural Network,Non-orthogonal Multiple Access,Reconfigurable Intelligent Surface Elements,Resource Block,Sparse Matrix,Sparsity,Spectral Efficiency,Successive Interference Cancellation,User Clustering,Wireless,Wireless Networks,