Title :
Topological Interference Management With Transmitter Cooperation
Author :
Xinping Yi ; Gesbert, David
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Tech. Univ. Berlin, Berlin, Germany
Abstract :
Interference networks with no channel state information at the transmitter except for the knowledge of the connectivity graph have been recently studied under the topological interference management framework. In this paper, we consider a similar problem with topological knowledge but in a distributed broadcast channel setting, i.e., a network where transmitter cooperation is enabled. We show that the topological information can also be exploited in this case to strictly improve the degrees of freedom (DoF) as long as the network is not fully connected, which is a reasonable assumption in practice. Achievability schemes from graph theoretic and interference alignment perspectives are proposed. Together with outer bounds built upon generator sequence, the concept of compound channel settings, and the relation to index coding, we characterize the symmetric DoF for the so-called regular networks with constant number of interfering links, and identify the sufficient and/or necessary conditions for the arbitrary network topologies to achieve a certain amount of symmetric DoF.
Keywords :
broadcast channels; channel coding; cooperative communication; graph theory; network coding; radio links; radio transmitters; radiofrequency interference; telecommunication network topology; compound channel setting; connectivity graph; degrees of freedom improvement; distributed broadcast channel setting; generator sequence; graph theoretic; index coding; interference alignment; interference link; interference network; regular network; symmetric DoF improvement; topological interference management framework; transmitter cooperation; Color; Generators; Interference; Network topology; Receivers; Topology; Transmitters; Degrees of freedom (DoF); index coding; interference alignment; interference channel; transmitter cooperation;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2015.2479857