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Network simplification: the Gaussian diamond network with Multiple Antennas

Related publications (34)

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Performance assessment of pressurized fluid-distribution networks

Gaudenz Moser

Pressurized fluid-distribution networks are key strategic elements of infrastructure. Drinking water is a precious resource and will become more and more important with the depletion of reserves. With the growth of the human population, challenges related ...

EPFL2015

Functional Forwarding of Channel State Information

Michael Christoph Gastpar

Based on the recent compute-and-forward technique [1], a novel communication strategy is proposed under which functions of the channel state information are forwarded along the network. Those functions are chosen such that on the one hand, they can be effi ...

Ieee-Inst Electrical Electronics Engineers Inc2014

Maximum Throughput Gain of Compute-and-Forward for Multiple Unicast

Michael Christoph Gastpar, Jasper Goseling

Compute-and-Forward (CF), also known as reliable physical layer network coding, is a technique that provides the possibility of exploiting the features of broadcast and superposition in wireless networks. It has been shown that the throughput for multiple ...

Institute of Electrical and Electronics Engineers2014

Is the Network Turing-Complete?

Dejan Kostic, Peter Peresini

Ensuring correct network behavior is hard. This is the case even for simple networks, and adding middleboxes only complicates this task. In this paper, we demonstrate a fundamental property of networks. Namely, we show a way of using a network to emulate t ...

2013

Inference of neuronal network spike dynamics and topology from calcium imaging data

Wulfram Gerstner, Joao Emanuel Felipe Gerhard, Friedemann Zenke

Two-photon calcium imaging enables functional analysis of neuronal circuits by inferring action potential (AP) occurrence ("spike trains") from cellular fluorescence signals. It remains unclear how experimental parameters such as signal-to-noise ratio (SNR ...

Frontiers Research Foundation2013

Diffusion Adaptation Over Networks Under Imperfect Information Exchange and Non-Stationary Data

Ali H. Sayed

Adaptive networks rely on in-network and collaborative processing among distributed agents to deliver enhanced performance in estimation and inference tasks. Information is exchanged among the nodes, usually over noisy links. The combination weights that a ...

IEEE2012

Computational Aspects of Distributed Optimization in Model Predictive Control

Colin Neil Jones, Tyler Summers, Melanie Nicole Zeilinger

This paper presents a systematic computational study on the performance of distributed optimization in model predictive control (MPC). We consider networks of dynamically coupled systems, which are subject to input and state con- straints. The resulting MP ...

2012

Approximation for Problems in Multi-User Information Theory

Soheil Mohajerzefreh

The main goal in network information theory is to identify fundamental limits of communication over networks, and design solutions which perform close to such limits. After several decades of effort, many important problems still do not have a characteriza ...

EPFL2010

On the Broadcast Capacity of Wireless Networks With Cooperative Relays

Michael Christoph Gastpar

A fundamental problem in wireless networks is determining the broadcast capacity, i.e., the maximum data transfer rate from a given node to every other node in a relay network. This paper studies the scaling of the broadcast capacity for a network with a s ...

2010

Power Efficient Hardware Implementation of a Fuzzy Neural Network

Rafal Tomasz Dlugosz

This paper presents a digital, transistor level implemented neo-fuzzy neural network. This type of neural network is particularly well suited for real-time applications like those encountered in signal processing and nonlinear system identification. We con ...

Technical University of Lodz2010