TY - JOUR

T1 - The gaussian interference relay channel

T2 - Improved achievable rates and sum rate upperbounds using a potent relay

AU - Tian, Ye

AU - Yener, Aylin

N1 - Funding Information:
Manuscript received May 06, 2010; revised January 20, 2011; accepted January 28, 2011. Date of current version April 20, 2011. This work was presented in part at IEEE Globecom 2009 and in part at IEEE ICC 2010. This work was supported in part by the National Science Foundation under Grants CCF 0237727, CNS 0716325, CNS 0721445, CNS 0964364, and in part by the DARPA ITMANET Program under Grant W911NF-07-1-0028.

PY - 2011/5

Y1 - 2011/5

N2 - We consider the Gaussian interference channel with an intermediate relay as a main building block for cooperative interference networks. On the achievability side, we consider compress-and-forward based strategies. Specifically, a generalized compress-and-forward strategy, where the destinations jointly decode the compression indices and the source messages, is shown to improve upon the compress-and-forward strategy which sequentially decodes the compression indices and source messages, and the recently proposed generalized hash-and-forward strategy. We also construct a nested lattice code based compute-and-forward relaying scheme, which outperforms other relaying schemes when the direct link is weak. In this case, it is shown that, with a relay, the interference link can be useful for decoding the source messages. Noting the need for upperbounding the capacity for this channel, we propose a new technique with which the sum rate can be bounded. In particular, the sum capacity is upperbounded by considering the channel when the relay node has abundant power and is named potent for that reason. For the Gaussian interference relay channel with potent relay, we study the strong and the weak interference regimes and establish the sum capacity, which, in turn, serve as upperbounds for the sum capacity of the GIFRC with finite relay power. Numerical results demonstrate that upperbounds are tighter than the cut-set bound, and coincide with known achievable sum rates for many scenarios of interest. Additionally, the degrees of freedom of the GIFRC are shown to be 2 when the relay has large power, achievable using compress-and-forward.

AB - We consider the Gaussian interference channel with an intermediate relay as a main building block for cooperative interference networks. On the achievability side, we consider compress-and-forward based strategies. Specifically, a generalized compress-and-forward strategy, where the destinations jointly decode the compression indices and the source messages, is shown to improve upon the compress-and-forward strategy which sequentially decodes the compression indices and source messages, and the recently proposed generalized hash-and-forward strategy. We also construct a nested lattice code based compute-and-forward relaying scheme, which outperforms other relaying schemes when the direct link is weak. In this case, it is shown that, with a relay, the interference link can be useful for decoding the source messages. Noting the need for upperbounding the capacity for this channel, we propose a new technique with which the sum rate can be bounded. In particular, the sum capacity is upperbounded by considering the channel when the relay node has abundant power and is named potent for that reason. For the Gaussian interference relay channel with potent relay, we study the strong and the weak interference regimes and establish the sum capacity, which, in turn, serve as upperbounds for the sum capacity of the GIFRC with finite relay power. Numerical results demonstrate that upperbounds are tighter than the cut-set bound, and coincide with known achievable sum rates for many scenarios of interest. Additionally, the degrees of freedom of the GIFRC are shown to be 2 when the relay has large power, achievable using compress-and-forward.

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U2 - 10.1109/TIT.2011.2119790

DO - 10.1109/TIT.2011.2119790

M3 - Article

AN - SCOPUS:79955511018

SN - 0018-9448

VL - 57

SP - 2865

EP - 2879

JO - IEEE Transactions on Information Theory

JF - IEEE Transactions on Information Theory

IS - 5

M1 - 5752455

ER -