Multicast interference alignment in a multi-group multi-way relaying network

Papsdorf, Daniel; Silva, Yuri C. B.; Klein, Anja

doi:10.1109/icc.2017.7996922

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…In this section, we propose a weighted-sum method to solve (34). We start with the design of the precoding matrix F k , for which we employ the Schatten-p norm as a surrogate of the rank function in (34a), which implies in (34d) being replaced by (16). Moreover, since F k does not affect the sumpower of the enhanced noise, the term N in (34a) can be removed here.…”

Section: The Proposed Methods For Relay-aided Mimo Interference Cmentioning

confidence: 99%

“…Unfortunately, previous single-hop IA algorithms are not easily applicable for relay-aided scenarios, once the power constraints of relays depend on the precoding matrices at transmitters, as well as on the processing matrices at the relays. Recently, the number of methods has been proposed to design processing matrices for relay-aided interference channels such as [6], [14]- [16]. For instance, in [14] the authors propose two IA approaches for an amplifyand-forward (AF) relay channel, extending previous proposals for the single-hop scenario [10], [17].…”

Section: Introductionmentioning

confidence: 99%

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Interference Alignment for One-Hop and Two-Hops MIMO Systems With Uncoordinated Interference

Ghari

Fazel

et al. 2020

IEEE Trans. Commun.

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Providing higher data rate is a momentous goal for wireless communications systems, while interference is an important obstacle to reach this purpose. To cope with this problem, interference alignment (IA) has been proposed. In this paper, we propose two rank minimization methods to enhance the performance of IA in the presence of uncoordinated interference, i.e., interference that cannot be properly aligned with the rest of the network and thus is a crucial issue. In this scenario, we consider perfect and imperfect channel state information (CSI) cases. Our proposed approaches employ the l2 and the Schatten-p norms to approximate the rank function, due to its non-convexity. We also use a new convex relaxation to expand the feasible set of our optimization problem, providing lower rank solutions compared to other IA methods from the literature. In addition, we propose a modified weighted-sum method to deal with interference in the relay-aided MIMO interference channel, which employs a set of weighting parameters in order to find more solutions.

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Section: The Proposed Methods For Relay-aided Mimo Interference Cmentioning

confidence: 99%