Channel Prediction for B4G Radio Systems

Future cellular mobile radio systems - sometimes called beyond 4G (B4G) - will have to provide by factors higher network performance. Promising concepts like interference mitigation based on joint cooperative multipoint transmission (JT CoMP), multiple input multiple output (MIMO) or - more recently - massive MIMO depend on accurate and reliable channel state information. With so called model based channel prediction (MBCP) we proposed a powerful but challenging means, in theory promising to outperform state of the art Wiener or Kalman filtering. Here we analyze some important aspects of MBCP and suggest suitable enhancements for channel and parameter estimation of multi path components. Based on ray tracing tools and measurements the high potential of enlarged measurement bandwidth or virtual beamforming are being assessed. More work will be needed to understand the full potential and limitations of MBCP, being currently conducted in the EU funded project METIS.