Retrospective Interference Alignment: Degrees of Freedom Scaling With Distributed Transmitters

Castanheira, Daniel; Silva, Adão; Gameiro, Atílio

doi:10.1109/tit.2017.2655343

Cited by 32 publications

(23 citation statements)

References 22 publications

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“…Asymptotic IA is an opportunistic technique that exploits the presence of complementary channel states in equal magnitudes to achieve linear IA [28]. [33][34][35][36] Distributed IA Local Single [37][38][39][40] Subspace IA Perfect Multi [29,[41][42][43] Blind IA Absent Single [25,44,45] Ergodic IA Perfect/delayed Single [36,46,47] Retrospective IA Delayed Single [26,39,43] Lattice Alignment Perfect Single [40,[48][49][50][51] IA and Cancelation Perfect Single/Multi [27,52,53] Opportunistic IA Perfect Single/Multi [28,54,55] Asymptotic IA Perfect Single…”

Section: General Ia Techniquesmentioning

confidence: 99%

Interference Alignment for Cognitive Radio Communications and Networks: A Survey

Abdulkadir

Simpson

Sun

2019

JSAN

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Interference alignment (IA) is an innovative wireless transmission strategy that has shown to be a promising technique for achieving optimal capacity scaling of a multiuser interference channel at asymptotically high-signal-to-noise ratio (SNR). Transmitters exploit the availability of multiple signaling dimensions in order to align their mutual interference at the receivers. Most of the research has focused on developing algorithms for determining alignment solutions as well as proving interference alignment’s theoretical ability to achieve the maximum degrees of freedom in a wireless network. Cognitive radio, on the other hand, is a technique used to improve the utilization of the radio spectrum by opportunistically sensing and accessing unused licensed frequency spectrum, without causing harmful interference to the licensed users. With the increased deployment of wireless services, the possibility of detecting unused frequency spectrum becomes diminished. Thus, the concept of introducing interference alignment in cognitive radio has become a very attractive proposition. This paper provides a survey of the implementation of IA in cognitive radio under the main research paradigms, along with a summary and analysis of results under each system model.

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Section: General Ia Techniquesmentioning

confidence: 99%

Interference Alignment for Cognitive Radio Communications and Networks: A Survey

Abdulkadir

Simpson

Sun

2019

JSAN

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“…To ensure the desired signal can be received without interference, we need to design the receive beamforming matrix at each user. According to (7), although the desired signals to the same CCU in different sub-time slots are aligned by relay, the aligned signal to UE [1,1] still overlaps with the interference caused by Relay 1. Furthermore, the interference in sub-time slot 1 should also be considered when designing the receive beamforming matrix.…”

Section: Nullifying Inter-cell and Intra-cell Interferencementioning

confidence: 99%

“…In References [4][5][6], closed-form IA schemes were investigated to reduce the computational complexity and offload the backhaul overhead. A retrospective interference alignment method was proposed in Reference [7], where it is shown that even under delay channel state information (CSI) the capacity also scales with the number of users. A cognitive IA (CIA) scheme was proposed in Reference [8] to deal with the interference and improve the spectral efficiency for the case of several self-organizing small cells serving one user in a heterogeneous network (HetNet).…”

Section: Introductionmentioning

confidence: 99%

A Cross Time Slot Partial Interference Alignment Scheme in Two-Cell Relay Heterogeneous Networks

et al. 2019

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The interference of a two-cell two-hop multi-input–multi-output (MIMO) heterogeneous network where the cell-center user (CCU) coexists with the cell-edge user (CEU) is complex to characterize and costly to suppress. In downlink, the CEU is assumed to be served by a half-duplex relay with amplify-and-forward mode. To suppress the intra-cell and inter-cell interference, a cross time slot partial interference alignment (TPIA) scheme, which aligns the interference terms generated in different sub-time slots to the same subspace, is proposed in this paper. Furthermore, the feasibility condition of antenna configuration is analyzed. Simulation results indicate that the TPIA scheme outperforms other existing conventional techniques in achievable sum degrees of freedom and sum-rate performance.

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“…The main drawback of these schemes is that the achievable DoF does not scale with the number of users. In a recent work [ 8 ], a novel transmission scheme for the K -user SISO interference channel is presented which achieves

DoF almost surely under delayed CSIT model. The result in [ 8 ] is particularly interesting, as it shows that the sum DoF for the K -user interference channel does scale with

, even with delayed CSIT.…”

Section: Introductionmentioning

confidence: 99%

Secure Retrospective Interference Alignment

Seif

Tandon

2019

Entropy

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In this paper, the K-user interference channel with secrecy constraints is considered with delayed channel state information at transmitters (CSIT). We propose a novel secure retrospective interference alignment scheme in which the transmitters carefully mix information symbols with artificial noises to ensure confidentiality. Achieving positive secure degrees of freedom (SDoF) is challenging due to the delayed nature of CSIT, and the distributed nature of the transmitters. Our scheme works over two phases: phase one in which each transmitter sends information symbols mixed with artificial noises, and repeats such transmission over multiple rounds. In the next phase, each transmitter uses delayed CSIT of the previous phase and sends a function of the net interference and artificial noises (generated in previous phase), which is simultaneously useful for all receivers. These phases are designed to ensure the decodability of the desired messages while satisfying the secrecy constraints. We present our achievable scheme for three models, namely: 1) K-user interference channel with confidential messages (IC-CM), and we show that 1 2 (

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Retrospective Interference Alignment: Degrees of Freedom Scaling With Distributed Transmitters

Cited by 32 publications

References 22 publications

Interference Alignment for Cognitive Radio Communications and Networks: A Survey

Interference Alignment for Cognitive Radio Communications and Networks: A Survey

A Cross Time Slot Partial Interference Alignment Scheme in Two-Cell Relay Heterogeneous Networks

Secure Retrospective Interference Alignment

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