IEEE Transactions on Information Theory
On the sum capacity of a class of cyclically symmetric deterministic interference channels
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
The capacity region of a class of deterministic Z channels
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Interference alignment and the generalized degrees of freedom of the X channel
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
Generalized degrees of freedom of the symmetric Gaussian K user interference channel
IEEE Transactions on Information Theory
The approximate capacity of the many-to-one and one-to-many Gaussian interference channels
IEEE Transactions on Information Theory
Gaussian Interference Channel Capacity to Within One Bit
IEEE Transactions on Information Theory
Wireless Network Information Flow: A Deterministic Approach
IEEE Transactions on Information Theory
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One of the tools that arised in the context of capacity approximations is the linear deterministic model (LDM), which aims at approximating the physical channel by a deterministic bit vector mapping. In this paper, we give a brief review of the LDM and the corresponding models for some of the basic network building blocks. We then go on to demonstrate how the LDM can be applied to a two-user multiple access channel mutually interfering with a point to point link. This constitutes a basic model for a cellular channel and also for the situation of device-to-device communication inside a cell. We give the capacity region for weak interference, the sum capacity for arbitrary interference and apply the results to the Gaussian channel in order to obtain a lower bound on the achievable generalized degrees of freedom in the system.