A Compressed Sensing Approach for Distribution Matching

In this work, we formulate the fixed-length distribution matching as a Bayesian inference problem. Our proposed solution is inspired from the compressed sensing paradigm and the sparse superposition (SS) codes. First, we introduce sparsity in the binary source via position modulation (PM). We then present a simple and exact matcher ...

Compressive Phase Retrieval of Structured Signals

Compressive phase retrieval is the problem of recovering a structured vector $bf{x} in mathds{C}^n$ from its phaseless linear measurements. A compression algorithm aims to represent structured signals with as few bits as possible. As a result of extensive research devoted to compression algorithms, in many signal classes, compression algorithms are ...

Genome-Wide Association Studies: Information Theoretic Limits of Reliable Learning

In the problems of Genome-Wide Association Study (GWAS), the objective is to associate subsequences of individual's genomes to the observable characteristics called phenotypes. The genome containing the biological information of an individual can be represented by a sequence of length <strong>G</strong>. Many observable characteristics of the individuals can be related ...

Erasure Coding for Decentralized Coded Caching

  • Maddahali M.
  • Mohajer S.
  • Reisizadeh H.

THIS PAPER IS ELIGIBLE FOR THE STUDENT PAPER AWARD. Coded caching can significantly decrease the communication load in peak hours of the network. The gain of caching is maximized in a centralized setting, where the cache content of users are opportunistically designed. In the absence of a centralized placement, users' ...

Compressive imaging via one-shot measurements

  • Jalali S.
  • Yuan X.

: One-shot measurement systems combine multiple frames in a signal such as a video into a single frame of the same dimensions. Each element (pixel) in the measured frame is a linear combination of the corresponding elements (pixels) in the combined frames. Such systems are a crucial part of various ...

Straggler Mitigation in Distributed Matrix Multiplication: Fundamental Limits and Optimal Coding

  • Avestimehr A.
  • Maddah-Ali M.
  • Yu Q.

Consider massive matrix multiplication, a problem that underlies many data analytic applications, in a large-scale distributed system comprising a group of workers. We target the stragglers' delay performance bottleneck, which is due to the unpredictable latency in waiting for slowest nodes (or stragglers) to finish their tasks. We propose a ...

Reliability-Based-Layered Belief Propagation for Iterative Decoding of LDPC Codes

  • Guan H.
  • Hou X.
  • Sun J.
  • Sun R.
  • Zhao Z.

Reliability-Based-Layered Belief Propagation (RBL-BP) decoding algorithm for LDPC codes is proposed in this paper. Being an informed dynamic schedule (IDS), it measures convergence and selects iterations by the absolute value of logarithmic likelihood ratio information obtained from channel (ABS-LLR-CH). Each variable node can select its own iterations by estimating its ...

Compressed Coded Distributed Computing

  • Avestimehr A.
  • Li S.
  • Maddah-Ali M.

Communication overhead is one of the major performance bottlenecks in large-scale distributed computing systems, especially for machine learning applications. Conventionally, compression techniques are used to reduce the load of communication by combining intermediate results of the same computation task as much as possible. Recently, via the development of coded distributed ...

Towards integration of Industrial Ethernet with 5G mobile networks

  • Jasperneite J.
  • Neumann A.
  • Rost P.
  • Sivasivaganesan R.
  • Wisniewski L.

In contrast to the predecessors, the fifth generation of mobile networks (5G) will particularly address communication in production systems by providing machine-type communication and matching requirements regarding reliability and latency. However, 3GPP 5G will not be the one and only network technology that can be used to fulfill all the ...

Auditory deviance detection and attention allocation in surgically treated brain aneurysm patients

  • Lohilahti Jonne
  • Martinez-Majander Nicolas
  • Muller K.
  • Niemelä Mika
  • Pakarinen Satu
  • Putaala Jukka
  • Virkkala Jussi

Anxiety, stress and depressive mood are frequent mental symptoms in humans before surgery. These factors and surgery itself can affect cognitive functions. In this study we used brain evoked potentials to study neurophysiological responses to auditory cues: how do brain neural networks respond to deviant sound or to emotionally loaded ...

World Wide Streams - a new World Wide Web for in-the-moment information

  • Trappeniers L.

We are evolving to a world where multi-sensory experiences and new interaction modalities become increasingly important. A world where human augmented intelligence - based on massive amounts of available data - is expected to change our lives in drastic ways. We are moving to an IoT world where information sources ...

A High Efficiency 3.6-4.0 GHz Envelope-Tracking Power Amplifier Using GaN Soft-Switching Buck-Converter

  • Asbeck P.
  • Kolmonen T.
  • Komatsuzaki Y.
  • Lanfranco S.
  • Ma R.
  • Piirainen O.
  • Sakata S.
  • Shinjo S.
  • Tanskanen J.
  • Yamanaka K.

We report a high efficiency sub-6GHz wideband Envelope-Tracking Power Amplifier (ET-PA) including a soft-switching buck-converter and a wideband RF-PA, used in conjunction with a digital front end (DFE) environment for signal generation and predistortion. Both buck-converter and RF-P A were fabricated using an 0.15um GaN HEMT process. The DFE can ...

An Analog Wide-Bandwidth Baseband Chain for 12Gbps 256QAM Direct-Conversion Receiver

  • Baeyens Y.
  • Jalali-Farahani B.
  • Moretto M.
  • Shahramian S.
  • Singh A.

This paper presents a broadband low-power baseband designed for zero-IF phased-array receiver. It can support 12 Gbps 256QAM and 17Gbps 32QAM. Baseband circuit provides filtering for RF channel bandwidths of 1.4Ghz to 6Ghz in 16 different steps. It incorporates variable-gain-amplifiers with total tuning range of 40 dB. DC offsets up ...

Compact 28-GHz phased array antenna for 5G access

  • Valkonen R.

Requirements of upcoming 5G millimeter-wave communications, such as high antenna gain and beamforming agility, are addressed by designing, manufacturing and measuring a compact and scalable phased array antenna for 28-GHz access network. The antenna is based on a multi-layer printed circuit board (PCB) with 64 radiating elements and 16 commercial ...

Poster: On-Wearable AI to Model Human Interruptibility

  • Acer U.
  • Forlivesi C.
  • Kawsar F.
  • Van Den Broeck M.

Understanding human interruptibility has a profound implication on computational user experience in a mobile setting. Many studies have explored this challenging topic and more recently in the context of mobile notification management. We aim to further augment this rich body of literature by presenting a multi-modal wearable sensing system to ...

Pushing Inkjet Printing to W-band: An all-printed 90-GHz beamforming array

  • Baeyens Y.
  • Kimionis I.
  • Shahramian S.
  • Singh A.
  • Tentzeris M.

In this work, the inkjet printing process is refined to push the capabilities of additive manufacturing up to the W-band (75-110 GHz). The idiosyncrasies of inkjet printing on polymer dielectric materials are fully taken into account, to mitigate the effect of excessive ink spreading which results in RF circuit detuning ...

Network Intrusion Detection Using Flow Statistics

  • Atli B.
  • Jung A.
  • Miche Y.

The increasing use of network data within every aspect of human life, ranging from genetic databases to credit card payments, urges for efficient methods for detecting any attempts (intrusions) to compromise sensitive information. The problem of detecting such network intrusions is challenging, since the regular or normal network patterns are ...

Mindful Interruptions: A Lightweight System for Managing Interruptibility on Wearables

  • Acer U.
  • Forlivesi C.
  • Kawsar F.
  • Van Den Broeck M.

We present the design, development, and evaluation of a personalized, privacy-aware and multi-modal wearable-only system to model interruptibility. Our system runs as a background service of a wearable OS and operates on two key techniques: i) online learning to recognize interruptible situation at a personal scale and ii) runtime inference ...

On Selected V2X Technology Components and Enablers from the 5GCAR Project

  • Abbas T.
  • Alli S.
  • Alonso-Zarate J.
  • Dillinger M.
  • Fallgran M.
  • Fodor G.
  • Li Z.
  • Mahmoodi T.
  • Svensson T.
  • Vivier G

Cooperative intelligent transport systems (ITS) and connected vehicles are foreseen to change the way mobility is conceived today. Cooperative and connected vehicles will lead to improved road traffic safety and efficiency and will also trigger innovation in the infotainment area. These will foster the design of disruptive new business models ...

Dynamic Multipath Connection for Low-Latency Vehicle- to-Everything (V2X) Communications

  • Barco R.
  • De-La-Bandera I.
  • Khatib E.
  • Kovacs I.
  • Palacios D.
  • Soret B.

The fifth generation (5G) of cellular communications aims at encompassing a wide variety of types of communications, among which are vehicle-to-everything (V2X) communications. These will be characterized by the interchange of both low-latency messages for control and notification purposes, and delay-tolerant messages, devoted to infotainment services. In this paper, a ...