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The use of smart antennas is a cutting-edge technology in the field of wireless communication systems, aimed at maximizing capacity, improving quality, and extending coverage.Smart antennas employ advanced signal processing techniques to dynamically adjust the radiation pattern and directionality of the antenna elements, allowing them to focus on specific signals or areas.This enables a more efficient use of available spectrum and a reduction in interference, resulting in enhanced network performance.The core technology that empowers smart antennas is beamforming.Beamforming algorithms plays a pivotal role in controlling the antenna elements to achieve the aforementioned objectives.Several algorithms have been developed and are widely used in smart antenna systems.In this project, there is a systematical comparison of performance of some of the conventional beamforming algorithms, such as Delay and Sum (DAS), Maximum Ratio Combining beamforming (MRC), and the Phase Shifting beamforming Algorithm (PSB).By systematically comparing the factors, this project provides valuable insights into the performance trade-offs among different conventional algorithms.This information is crucial for selecting the most suitable algorithm for specific wireless communication scenarios, whether it's for cellular networks, Wi-Fi, or other wireless technologies.
Farooq et al. (Fri,) studied this question.