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Related papers: Successive Integer-Forcing and its Sum-Rate Optima…

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Limitation of the cost of coordination and contention among a large number of nodes calls for grant-free approaches, exploiting physical layer techniques to solve collisions. Successive Interference Cancellation (SIC) is becoming a key…

Signal Processing · Electrical Eng. & Systems 2024-06-28 Andrea Baiocchi , Asmad Razzaque

In this paper, we study the sum rate performance of zero-forcing (ZF) and regularized ZF (RZF) precoding in large MISO broadcast systems under the assumptions of imperfect channel state information at the transmitter and per-user channel…

Information Theory · Computer Science 2012-09-11 Sebastian Wagner , Romain Couillet , Merouane Debbah , Dirk. T. M. Slock

In a K-user Gaussian interference channel, it has been shown that if for each user the desired signal strength is no less than the sum of the strengths of the strongest interference from this user and the strongest interference to this user…

Information Theory · Computer Science 2014-01-14 Chunhua Geng , Hua Sun , Syed A. Jafar

Downlink spatial intercell interference cancellation (ICIC) is considered for mitigating other-cell interference using multiple transmit antennas. A principle question we explore is whether it is better to do ICIC or simply standard…

Information Theory · Computer Science 2009-09-22 Jun Zhang , Jeffrey G. Andrews

A cognitive radio can operate as a secondary system in a given spectrum. This operation should use limited power in order not to disturb the communication by primary spectrum user. Under such conditions, in this paper we investigate how to…

Information Theory · Computer Science 2007-07-13 Petar Popovski , Hiroyuki Yomo , Kentaro Nishimori , Rocco Di Taranto

In this paper, we study the interference exploitation precoding for the scenario where the number of streams simultaneously transmitted by the base station (BS) is larger than that of transmit antennas at the BS, and derive the optimal…

Signal Processing · Electrical Eng. & Systems 2019-01-15 Ang Li , Christos Masouros , Yonghui Li , Branka Vucetic

The exploitation of interference in a constructive manner has recently been proposed for the downlink of multiuser, multi-antenna transmitters. This novel linear precoding technique, herein referred to as constructive interference zero…

Information Theory · Computer Science 2013-04-01 Dimitrios Christopoulos , Symeon Chatzinotas , Ioannis Krikidis , Bjorn Ottersten

This paper studies the instantaneous rate maximization and the weighted sum delay minimization problems over a K-user multicast channel, where multiple antennas are available at the transmitter as well as at all the receivers. Motivated by…

Information Theory · Computer Science 2015-05-30 Hao Zhu , Narayan Prasad , Sampath Rangarajan

Iterative processing is widely adopted nowadays in modern wireless receivers for advanced channel codes like turbo and LDPC codes. Extension of this principle with an additional iterative feedback loop to the demapping function has proven…

Information Theory · Computer Science 2015-06-04 Salim Haddad , Amer Baghdadi , Michel Jezequel

We consider a downlink multiuser multiple-input multiple output (MIMO) system employing regularized zero-forcing (RZF) precoding. We derive the asymptotic signal-to-leakage-plus-noise ratio (SLNR) as both the number of antennas and the…

Information Theory · Computer Science 2016-09-13 Sungwoo Park , Jeonghun Park , Ali Yazdan Panah , Robert W. Heath

We introduce a recursive algorithm for performing compressed sensing on streaming data. The approach consists of a) recursive encoding, where we sample the input stream via overlapping windowing and make use of the previous measurement in…

Machine Learning · Statistics 2013-12-18 Nikolaos M. Freris , Orhan Öçal , Martin Vetterli

In this paper, we design matched filters for diffusive molecular communication systems taking into account the following impairments: signal-dependent diffusion noise, inter-symbol interference (ISI), and external interfering molecules. The…

Information Theory · Computer Science 2017-05-05 Vahid Jamali , Arman Ahmadzadeh , Robert Schober

We propose InsNet, an expressive insertion-based text generator with efficient training and flexible decoding (parallel or sequential). Unlike most existing insertion-based text generation works that require re-encoding of the context after…

Computation and Language · Computer Science 2022-10-18 Sidi Lu , Tao Meng , Nanyun Peng

This paper studies the problem of transmitting multiple independent layered video streams over single-hop wireless networks using network coding (NC). We combine feedback-free random linear NC (RLNC) with unequal error protection (UEP) and…

Information Theory · Computer Science 2014-09-04 Mohammad Esmaeilzadeh , Neda Aboutorab

A good supervised embedding for a specific machine learning task is only sensitive to changes in the label of interest and is invariant to other confounding factors. We leverage the concept of repeatability from measurement theory to…

Sound · Computer Science 2023-10-27 Jianwei Zhang , Suren Jayasuriya , Visar Berisha

A new method is introduced to obtain a strong signal by the interference of weak signals in noisy channels. The method is based on the interference of 1/f noise from parallel channels. One realization of stochastic interference is the…

Chaotic Dynamics · Physics 2009-11-07 K. Svozil , D. Felix , K. Ehrenberger

In this paper we show that the Index Coding problem captures several important properties of the more general Network Coding problem. An instance of the Index Coding problem includes a server that holds a set of information messages…

Information Theory · Computer Science 2008-05-12 Salim El Rouayheb , Alex Sprintson , Costas Georghiades

We consider a linear precoder design for an underlay cognitive radio multiple-input multiple-output broadcast channel, where the secondary system consisting of a secondary base-station (BS) and a group of secondary users (SUs) is allowed to…

Information Theory · Computer Science 2016-11-17 Van-Dinh Nguyen , Le-Nam Tran , Trung Q. Duong , Oh-Soon Shin , Ronan Farrell

We propose methods to strengthen the invariance properties of representations obtained by contrastive learning. While existing approaches implicitly induce a degree of invariance as representations are learned, we look to more directly…

Machine Learning · Computer Science 2021-03-23 Adam Foster , Rattana Pukdee , Tom Rainforth

We investigate information-theoretic limits and design of communication under receiver quantization. Unlike most existing studies, this work is more focused on the impact of resolution reduction from high to low. We consider a standard…

Information Theory · Computer Science 2025-12-29 Jing Zhou , Shuqin Pang , Wenyi Zhang