Side information aware coding strategy in the quadratic Gaussian CEO problem

Summary form only given. The side information aware coding strategy was employed to address the quadratic Gaussian chief executive officer (CEO) problem. By using this strategy, the CEO problem is decomposed into a sequence of data fusion encoding and decoding blocks. We obtain the optimal rate allocation scheme that achieves the minimum distortion under a sum-rate constraint. We also derive the optimal sum-rate distortion tradeoff based on the successive coding strategy and show that our result is indeed the sum-rate distortion function for the quadratic Gaussian CEO problem. Hence, the optimal sum-rate distortion performance for the CEO problem is achievable using the successive coding strategy which is essentially a less complex way to attain a prescribed distortion