On the Impact of Low-Rank Interference on the Post-Equalizer SINR in LTE

Monsees, Fabian; Bockelmann, Carsten; Petermann, Mark; Dekorsy, Armin; Brueck, Stefan

doi:10.1109/tcomm.2013.021913.120305

Cited by 5 publications

(6 citation statements)

References 18 publications

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“…Second, we also remark that low-rank jamming signals are present and studied in [16], [17] and references therein. With this observation, the MT-FH uplink jamming signal matrix J ∈ R M ×N can be assumed to have the low-dimensionality.…”

Section: A Low-dimensionality Properties and Channel Estimationmentioning

confidence: 92%

“…We demonstrate low-dimensionality properties of the transmitted DS-CDMA signal matrix and the uplink jamming signal matrix that they can be often represented as a sparse matrix and a low-rank matrix in many emerging applications [16][17][18][19][20].…”

Section: A Low-dimensionality Properties and Channel Estimationmentioning

confidence: 99%

“…With these observations, the matrix representation of the jamming signal can be modeled as a low-rank matrix having low-dimensionality. Low-rank jamming/interference can be easily found in many emerging applications, including communication and network systems [16], [17]. Based on the scenario we discussed, descriptions of the signals and the system, including jamming signals are detailed in Subsection II.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An iALM-ICA-based Anti-Jamming DS-CDMA Receiver for LMS Systems

Jung¹,

Kang²,

Lee³

et al. 2018

Preprint

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We consider a land mobile satellite communication system using spread spectrum techniques where the uplink is exposed to MT jamming attacks, and the downlink is corrupted by multi-path fading channels. We proposes an anti-jamming receiver, which exploits inherent low-dimensionality of the received signal model, by formulating a robust principal component analysis (Robust PCA)-based recovery problem. Simulation results verify that the proposed receiver outperforms the conventional receiver for a reasonable rank of the jamming signal.

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Section: A Low-dimensionality Properties and Channel Estimationmentioning

confidence: 92%

Section: A Low-dimensionality Properties and Channel Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An iALM-ICA-based Anti-Jamming DS-CDMA Receiver for LMS Systems

Jung¹,

Kang²,

Lee³

et al. 2018

Preprint

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show abstract

“…Interference cancellation, thus, has been an important subject of study in the aforementioned areas towards designing matched detectors, adaptive beamformers, and generalized hypothesis testing [8]- [13].…”

Section: Introductionmentioning

confidence: 99%

Consensus in the presence of interference

Khan,

Aeron

2013

Preprint

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This paper studies distributed strategies for average-consensus of arbitrary vectors in the presence of network interference. We assume that the underlying communication on any link suffers from additive interference caused due to the communication by other agents following their own consensus protocol. Additionally, no agent knows how many or which agents are interfering with its communication. Clearly, the standard consensus protocol does not remain applicable in such scenarios. In this paper, we cast an algebraic structure over the interference and show that the standard protocol can be modified such that the average is reachable in a subspace whose dimension is complimentary to the maximal dimension of the interference subspaces (over all of the communication links). To develop the results, we use information alignment to align the intended transmission (over each link) to the null-space of the interference (on that link). We show that this alignment is indeed invertible, i.e. the intended transmission can be recovered over which, subsequently, consensus protocol is implemented. That local protocols exist even when the collection of the interference subspaces span the entire vector space is somewhat surprising.

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“…Low-rank interference is found in many emerging applications, e.g., brain imaging,[21], and magnetoencephalography,[22]; beamforming[22],[23]; Bayesian estimation and adaptive filtering[24],[25]; and LTE systems[26] 2. Towards interference, Ref [27].…”

mentioning

confidence: 99%

Distributed Subspace Consensus in the Presence of Dynamic In-Network Disturbance

Khan

Aeron

2016

IEEE Trans. Control Netw. Syst.

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This paper studies distributed strategies for averageconsensus of arbitrary vectors in multi-agent systems, when the inter-agent information exchange is corrupted by the agents' states within the same network. In particular, each neighboring state received by an agent has an additive component that consists of projections of the states at other agents; the agents corrupting this exchange are unknown to the receiving agent and may also change over time. We model such in-network disturbance with a dynamic disturbance graph over the agents, in addition to the static graph over which consensus is implemented. The problem in its full generality is quite challenging and in an attempt to simplify, we assume two particular disturbance cases: senderbased and receiver-based. In the former case, we assume that the (null spaces of the) projection subspaces are only known at the senders; while in the latter case, we assume this knowledge only at the receivers. We provide a concrete example of static, flat-fading MIMO channels to support this disturbance model.In the above context, we cast an algebraic structure over the disturbance subspaces and show that the average is reachable in a subspace whose dimension is complementary to the maximal dimension of the disturbance subspaces. To develop the results, we introduce the notion of information alignment to align the intended message to the null-space of the unintended disturbance. We derive the conditions under which this alignment is invertible, i.e., the intended message can be recovered. A major contribution of this work is to show that local protocols exist for (subspace) consensus even when the disturbance over the network spans the entire vector space.

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On the Impact of Low-Rank Interference on the Post-Equalizer SINR in LTE

Cited by 5 publications

References 18 publications

An iALM-ICA-based Anti-Jamming DS-CDMA Receiver for LMS Systems

An iALM-ICA-based Anti-Jamming DS-CDMA Receiver for LMS Systems

Consensus in the presence of interference

Distributed Subspace Consensus in the Presence of Dynamic In-Network Disturbance

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