Adaptive Signal Processing and Neural Networks:
Principles and Applications to Wireless Communications
Neural networks and adaptive signal processing play an important role in wireless communications as they allow the wireless communication system to adapt itself to the channel changes during transmission. Adaptation can be applied at the receiver (e.g. channel equalization), at the transmitter (e.g. adaptive modulation and coding), or, more generally, at the different levels of the wireless layers. Furthermore, for new wireless communication technologies (such as multiple-input multiple-output (MIMO) systems) the use of efficient adaptive signal processing techniques is essential in order to achieve high data rates and enable quality of service (QoS) applications. This talk will present a survey of neural network and adaptive signal processing techniques and their impact on current and future wireless communications. The different concepts will be simplified so that they can be understood by non specialists.