The paper considers methods for reducing the computational complexity of adaptive beamforming algorithms for intelligent embedded systems. The problem is to achieve a compromise between the quality of spatial signal selection and the limited resources of the hardware platform, such as computing power, energy consumption, and memory.
The implementation of beamforming and spatial diversity in Orthogonal Frequency Division Multiplexing (OFDM) systems reveals challenges in terms of complexity, feedback, and scenario dependencies. In this paper we discuss the differences and limitations of OFDM transmission over scenarios with different angular spread, which can viewed clearly from the base station antenna (BSA), signals departing to or arriving from the UE appear to be spread over a range of angle and evaluate the issues arising from the implementation of beam-forming and spatial diversity in OFDM systems.