Most modern wireless multi-user networks suffer from undesired interference that impairs the data transmission over the individual radio links. In order to maximize the data throughput in such systems, several interference mitigation schemes have been investigated recently. Interference alignment stands out as one of the most promising ones, able to attain the maximum data throughput over inter...

In this paper, we propose a distributed signal subspace interference alignment algorithm for single beam K − user ( 3 K ≥ ) MIMO interference channel based on sum rate maximization and game theory. A framework of game theory is provided to study relationship between interference signal subspace and altruistic-egoistic bayesian game cost function. We demonstrate that the asymptotic interference ...

This work analyzes the advantages of broad-band time-domain the electrical measurement applied to electromagnetic interference (EMI) problems. The digital signal processing of EMI measurements allows to emulate in real-time the various modes of conventional analogous equipment. Since time-domain techniques allow processing the amplitude and phasing information of the whole signal spectrum in pa...

A transcriptional activator can suppress gene expression by interfering with transcription initiated by another activator. Transcriptional interference has been increasingly recognized as a regulatory mechanism of gene expression. The signals received by the two antagonistically acting activators are combined by the polymerase trafficking along the DNA. We have designed a dual-control genetic s...

Signal detection in certain noise environments fits naturally into a statistical hypothesis testing framework. In order to have moderately tractable models, the noise is often assumed to be additive with a multivariate normal distribution. Additionally, computational complexity requirements may demand the assumption of spatial stationarity, particularly in the case when the data is 2-dimensiona...

In this paper, a wideband receiver with high dynamic range is proposed. At the front end of the proposed receiver, a sensing waveform is used to sense the input signal. And by adjusting the sensing waveform so as to project the interference to zero, the receiver can eliminate the strong interference signal adaptively before sampling. Both the theoretic analysis and simulation show that this met...

High-Quality Detection in Heavy-Traffic Avionic Communication System Using Interference Cancellation Techniques by Minh Nguyen This dissertation focuses on quantifying the effects of multi-user co-channel interference for an avionic communication system operating in a heavy-traffic aeronautical mobile environment and proposes advanced interference cancellation techniques to mitigate the interfe...

OF THE DISSERTATIONFundamentals of Treating Interference as NoiseByChunhua GengDoctor of Philosophy in Electrical EngineeringUniversity of California, Irvine, 2016Professor Syed Jafar, Chair Treating interference as noise (TIN) when it is sufficiently weak is one of the key principlesof interference management for wireless networks. This dissertation revisits the opt...

In recorded bioelectric signals, such as the electrocardiogram, sinusoidal interference from power lines or other sources causes distortion in the signal and may lead to misdiagnosis. For long or continuous recordings, adaptive filtering can be effective in minimizing the interference. For short recording, the options are limited. Subtractive methods have been used, but they do not distinguish ...

This paper considers several linear beamformer design paradigms for multiuser time-invariant multiple-input multiple-output interference channels. Notably, interference alignment and sum-rate based algorithms such as the maximum signal-to-interference-plus noise (max-SINR) algorithm are considered. Optimal linear beamforming under interference alignment consists of two layers; an inner precoder...