This paper investigates the capacity of Compress-and-Forward (C&F) cooperative relaying scheme when the C&F relay operates in Time Division Duplex (TDD). In the evaluation it considers MIMO-OFDM transmission. An achievable rate was previously derived in assuming scalar channel. This paper extends this Wyner-Ziv bound to MIMO-OFDM, by applying results from Bayesian vector estimation and rate-distortion coding theory. Then the authors derive the mutual information of a sub-optimum relaying scheme in which the relay applies Karhunen-Loeve transform to the signal received from the source before quantizing it and forwarding it to the destination as a new codeword. Finally, the paper illustrates by simulations (in an environment similar to IEEE802.16) the fact that for some scenarios, the C&F approach outperforms other known relaying techniques.
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