Compressed sensing based channel state feedback for cooperating MIMO-OFDM systems

In this paper we propose a feedback, quantization and remote channel estimation scheme at the transmitter side, which does not require channel estimation at the receiver. The feedback scheme is based on the idea of compressed sensing and uses the sparsity, inherent to the overall multi-path channel, between different transmitters and a particular receiver. This includes the sparsity in the delay taps of the impulse response as well as the fast-decaying overall power distribution along different transmitters, according to their relative position. Additionally, the approach implicitly embodies adaptive compression, that is, transmitters with stronger channels are accounted with more bits in the feedback message than the ones with weaker channels. Once the transmit setup is fixed the receivers can be informed of the effective channels through dedicated pilots