Compression of CQI feedback with compressive sensing in adaptive OFDM systems

In multiuser wireless communication systems, adaptive modulation and scheduling are promising techniques for increasing the system throughput. To achieve this goal, it is necessary to feed back the information of channel quality indication (CQI). The required feedback rate can be prohibitively high in multicarrier OFDM systems and so the feedback information needs to be compressed. In this paper, a novel CQI feedback scheme is proposed based on the recently proposed compressive sensing theory, and the performance of the scheme is shown to outperform the DCT compression method which is usually considered as the best.