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Abstract: We present a general rate duality between the multiple access channel MACand the broadcast channel BC which is applicable to systems with and withoutnonlinear interference cancellation. Different to the state-of-the-art rateduality with interference subtraction from Vishwanath et al., the proposedduality is filter-based instead of covariance-based and exploits the arisingunitary degree of freedom to decorrelate every point-to-point link. Therefore,it allows for noncooperative stream-wise decoding which reduces complexity andlatency. Moreover, the conversion from one domain to the other does not exhibitany dependencies during its computation making it accessible to a parallelimplementation instead of a serial one. We additionally derive a rate dualityfor systems with multi-antenna terminals when linear filtering withoutinterference pre-subtraction is applied and the different streams of a singleuser are not treated as self-interference. Both dualities are based on aframework already applied to a mean-square-error duality between the MAC andthe BC. Thanks to this novel rate duality, any rate-based optimization withlinear filtering in the BC can now be handled in the dual MAC where the arisingexpressions lead to more efficient algorithmic solutions than in the BC due tothe alignment of the channel and precoder indices.



Author: Raphael Hunger, Michael Joham

Source: https://arxiv.org/







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