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In the first part in [12], we present and analyse a Sigmoid-based "Signal-to-Interference Ratio, (SIR)" balancing dynamic network, called Sgm"SIR"NN, which exhibits similar properties as traditional Hopfield NN does, in continuous time. In…

Data Analysis, Statistics and Probability · Physics 2009-03-17 Zekeriya Uykan

In full-duplex systems, oscillator phase noise (PN) problem is considered the bottleneck challenge that may face the self-interference cancellation (SIC) stage especially when orthogonal frequency division multiplexing (OFDM) transmission…

Information Theory · Computer Science 2016-03-18 Heba Shehata , Tamer Khattab

Non-linear self-interference (SI) cancellation constitutes a fundamental problem in full-duplex communications, which is typically tackled using either polynomial models or neural networks. In this work, we explore the applicability of a…

Signal Processing · Electrical Eng. & Systems 2020-10-06 Freek Jochems , Alexios Balatsoukas-Stimming

In a cooperative multiple-antenna downlink cellular network, maximization of a concave function of user rates is considered. A new linear precoding technique called soft interference nulling (SIN) is proposed, which performs at least as…

Information Theory · Computer Science 2013-05-10 Chris T. K. Ng , Howard Huang

This paper investigates the achievable rate region of the multiple-input single-output (MISO) interference channel aided by intelligent reflecting surfaces (IRSs). We exploit the the additional design degree of freedom provided by the…

Signal Processing · Electrical Eng. & Systems 2020-05-20 Wei Huang , Yong Zeng , Yongming Huang

The $K\times 2$ and $2\times K$, Multiple-Input Multiple-Output (MIMO) X channel with constant channel coefficients available at all transmitters and receivers is considered. A new alignment scheme, named \emph{layered interference…

Information Theory · Computer Science 2014-12-24 Seyyed Hassan Mahboubi , Mumtaz Hussain , Abolfazl Seyed Motahari , Amir Keyvan Khandani

Understanding how network structure constrains and enables information processing is a central problem in the statistical mechanics of interacting systems. Here we study random networks across the structural percolation transition and…

Physics and Society · Physics 2026-01-14 Galen J. Wilkerson

Self-interference cancellation plays a crucial role in achieving reliable full-duplex communications. In general, it is essential to cancel the self-interference signal below the thermal noise level, which necessitates accurate…

Signal Processing · Electrical Eng. & Systems 2023-09-12 Dongsheng Zheng , Lifeng Lin , Wenyao Li , Bingli Jiao

Coordinated Multi-Point (CoMP) transmission is an infrastructural enhancement under consideration for next generation wireless networks. In this work, the capacity gain achieved through CoMP transmission is studied in various models of…

Information Theory · Computer Science 2013-10-10 Aly El Gamal , V. Sreekanth Annapureddy , Venugopal V. Veeravalli

The constructive interference concept in the downlink of multiple-antenna systems is addressed in this paper. The concept of the joint exploitation of the channel state information (CSI) and data information (DI) is discussed. Using…

Information Theory · Computer Science 2015-04-28 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten

Circular Synthetic aperture sonars (CSAS) capture multiple observations of a scene to reconstruct high-resolution images. We can characterize resolution by modeling CSAS imaging as the convolution between a scene's underlying point…

Image and Video Processing · Electrical Eng. & Systems 2023-06-28 Albert Reed , Thomas Blanford , Daniel C. Brown , Suren Jayasuriya

We demonstrate dual-frequency stabilization of a hybrid-integrated multi-channel laser to an integrated high Q-factor silicon nitride (SiN) coil resonator with more than 40 dB frequency noise suppression. The frequency locked channels are…

This work is the first in a series of papers devoted to the construction and study of scaling limits of dynamical and near-critical planar percolation and related objects like invasion percolation and the Minimal Spanning Tree. We show here…

Probability · Mathematics 2014-02-17 Christophe Garban , Gábor Pete , Oded Schramm

This paper studies an uplink multicell joint processing model in which the base-stations are connected to a centralized processing server via rate-limited digital backhaul links. Unlike previous studies where the centralized processor…

Information Theory · Computer Science 2013-05-28 Lei Zhou , Wei Yu

Silicon nitride (SiN) has emerged as a promising platform for integrated nonlinear photonics because of its low propagation loss, wide transparency window, and CMOS compatibility. Nonlinear processes arising from photon-electron…

Linear precoding and post-processing schemes are ubiquitous in wireless multi-input-multi-output (MIMO) settings, due to their reduced complexity with respect to optimal strategies. Despite their popularity, the performance analysis of…

Information Theory · Computer Science 2019-10-31 M. Kieburg , G. Akemann , G. Alfano , G. Caire

One of the main obstacles in full-duplex radios is analog-to-digital converter (ADC) saturation on a receiver due to the strong self-interference (SI). To solve this issue, researchers have proposed two different types of analog…

Signal Processing · Electrical Eng. & Systems 2022-06-22 Jong Woo Kwak , Min Soo Sim , In-Woong Kang , Jaedon Park , Kai-Kit Wong , Chan-Byoung Chae

This paper examines small-signal stability of electrical networks composed dominantly of three-phase grid-following inverters. We show that the mere existence of a high-voltage power flow solution does not necessarily imply small-signal…

Optimization and Control · Mathematics 2020-05-22 Saber Jafarpour , Victor Purba , Sairaj V. Dhople , Brian Johnson , Francesco Bullo

A model of noise reduction (NR) for signal processing is introduced. Each noise source puts a symmetric constraint on the space of the signal vector within a tolerable overlap. When the number of noise sources increases, sequences of…

Disordered Systems and Neural Networks · Physics 2007-05-23 J. van Mourik , K. Y. Michael Wong , D. Bolle'

Measuring the phase of light is fundamental to optical imaging, sensing, and signal processing applications. Conventional optical phase measurements rely on multipath configurations, bulky interferometric setups, and computationally…

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