A robust beamforming with antenna selection approach for dense antenna arrays under limited CSI

• Published in: Physical communication 2024-08, Vol.65, p.102371, Article 102371
• Main Authors: Pourkabirian, Azadeh, Koushki, Fereshteh, Torabian, Mohsen, Rezvani, Mohammad Hossein
• Format: Article
• Language: English
• Subjects: Antenna selection; Beamforming; Channel estimation; MU-MMIMO
• ISSN: 1874-4907; 1876-3219
• DOI: 10.1016/j.phycom.2024.102371

This paper introduces a novel approach for dense antenna arrays, which integrates beamforming and antenna selection. The proposed method aims to optimize the number of transmit antennas to reduce power consumption and enhance spectral efficiency at the transmitter. By employing optimal beamforming weights, our approach steers signals toward the intended receiver to maximize the transmit power of the desired signal while mitigating side-lobe interference under channel uncertainty. To adapt beamforming parameters dynamically to changing channel conditions, we develop a channel estimation approach that obtains accurate channel state information (CSI). In contrast to prior studies, our channel estimation method utilizes a generalized Gaussian distribution (GGD) model, capable of accommodating both matched and mismatched CSI features by modeling heavy-tailed and light-tailed distributions. This allows our method to capture diverse channel statistical behaviors resulting from phenomena such as fading and interference under various propagation conditions. Furthermore, we introduce an angle entropy metric, which measures angle of departure (AoD) variations, indicating the degree of uncertainty regarding the directionality of transmitted signals. Simulation results validate the accuracy of our analytical findings and demonstrate the superior performance of the proposed approach in terms of robustness and bit-error-rate (BER) performance.