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This paper derives the distribution of the maximum end-to-end (e2e) signal to noise ratio (SNR) in an opportunistic relay selection based cooperative relaying (CR) network having large number of non-identical relay links between the source…

Information Theory · Computer Science 2020-10-21 Athira Subhash , Sheetal Kalyani

In this paper, we tackle for the first time the problem of maximum likelihood (ML) estimation of the signal-to-noise ratio (SNR) parameter over time-varying single-input multiple-output (SIMO) channels. Both the data-aided (DA) and the…

Applications · Statistics 2014-11-19 Faouzi Bellili , Rabii Meftehi , Sofiene Affes , Alex Stephenne

We consider systems in which the transmitter conveys messages to the receiver through a capacity-limited relay station. The channel between the transmitter and the relay-station is assumed to be a frequency selective additive Gaussian noise…

Information Theory · Computer Science 2018-01-08 Adi Homri , Michael Peleg , Shlomo Shamai

The capacity of a discrete-time memoryless channel, in which successive symbols fade independently, and where the channel state information (CSI) is neither available at the transmitter nor at the receiver, is considered at low SNR. We…

Information Theory · Computer Science 2008-01-04 Z. Rezki , David Haccoun , François Gagnon

We present the \epsilon-outage capacity of incremental relaying at low signal-to-noise ratios (SNR) in a wireless cooperative network with slow Rayleigh fading channels. The relay performs decode-and-forward and repetition coding is…

Information Theory · Computer Science 2009-08-07 Tobias Renk , Holger Jaekel , Friedrich K. Jondral , Deniz Gunduz , Andrea Goldsmith

We present the derivation of post-processing SNR for Minimum-Mean-Squared-Error (MMSE) receivers with imperfect channel estimates, and show that it is an accurate indicator of the error rate performance of MIMO systems in the presence of…

Performance · Computer Science 2016-11-15 Eren Eraslan , Babak Daneshrad , Chung-Yu Lou

Energy efficiency and its optimization constitute critical tasks in the design of low-power wireless networks. The present work is devoted to the error rate analysis and energy-efficiency optimization of regenerative cooperative networks in…

Information Theory · Computer Science 2015-06-03 Mulugeta K. Fikadu , Paschalis C. Sofotasios , Qimei Cui , Mikko Valkama , George K. Karagiannidis

In this paper, a new two-way relaying scheme based on compute-and-forward (CMF) framework and relay selection strategies is proposed, which provides a higher throughput than the conventional two-way relaying schemes. Two cases of relays…

Information Theory · Computer Science 2014-10-13 Seyed Mohammad Azimi-Abarghouyi , Mohsen Hejazi , Masoumeh Nasiri-Kenari

We analyze scheduling algorithms for multiuser communication systems with users having multiple antennas and linear receivers. When there is no feedback of channel information, we consider a common round robin scheduling algorithm, and…

Information Theory · Computer Science 2016-11-18 Raymond H. Y. Louie , Matthew R. McKay , Iain B. Collings

Spiking Neural Networks (SNNs) are one of the most promising bio-inspired neural networks models and have drawn increasing attention in recent years. The event-driven communication mechanism of SNNs allows for sparse and theoretically…

Neural and Evolutionary Computing · Computer Science 2025-10-29 Andrea Castagnetti , Alain Pegatoquet , Benoît Miramond

Consider the \emph{simultaneous relay channel} (SRC) which consists of a set of relay channels where the source wishes to transmit common and private information to each of the destinations. This problem is recognized as being equivalent to…

Information Theory · Computer Science 2015-03-19 Arash Behboodi , Pablo Piantanida

This work presents a machine learning approach to optimize the energy efficiency (EE) in a multi-cell wireless network. This optimization problem is non-convex and its global optimum is difficult to find. In the literature, either simple…

Signal Processing · Electrical Eng. & Systems 2023-12-18 Bile Peng , Karl-Ludwig Besser , Ramprasad Raghunath , Eduard A. Jorswieck

This paper presents an energy-efficient transmission framework for federated learning (FL) in industrial Internet of Things (IIoT) environments with strict latency and energy constraints. Machinery subnetworks (SNs) collaboratively train a…

Signal Processing · Electrical Eng. & Systems 2026-05-25 Hamid Reza Hashempour , Mostafa Nozari , Gilberto Berardinelli , Yanjiao Li , Jie Zhang , Hien Quoc Ngo , Shashi Raj Pandey

We obtain a new upper bound on the capacity of a class of discrete memoryless relay channels. For this class of relay channels, the relay observes an i.i.d. sequence $T$, which is independent of the channel input $X$. The channel is…

Information Theory · Computer Science 2008-10-07 Ravi Tandon , Sennur Ulukus

One of the main problems in mobile communication systems is the degradation of Radio Frequency (RF) connection when mobile user is far from base station. One way to solve this problem is to increase the transmitter power, but the mobile…

Signal Processing · Electrical Eng. & Systems 2018-11-21 Mohammad Ali Amirabadi

Photo-realistic image restoration algorithms are typically evaluated by distortion measures (e.g., PSNR, SSIM) and by perceptual quality measures (e.g., FID, NIQE), where the desire is to attain the lowest possible distortion without…

Image and Video Processing · Electrical Eng. & Systems 2025-02-05 Guy Ohayon , Tomer Michaeli , Michael Elad

In this paper, we study the interference relay-without-delay channel which is an interference channel with a relay helping the communication. We assume the relay's transmit symbol depends not only on its past received symbols but also on…

Information Theory · Computer Science 2011-08-16 Hyunseok Chang , Sae-Young Chung

In-band full-duplex relay (FDR) has attracted much attention as an effective solution to improve the coverage and spectral efficiency in wireless communication networks. The basic problem for FDR transmission is how to eliminate the…

Information Theory · Computer Science 2023-07-10 Pu Yang , Xiang-Gen Xia , Qingyue Qu , Han Wang , Yi Liu

Consider the minimum mean-square error (MMSE) of estimating an arbitrary random variable from its observation contaminated by Gaussian noise. The MMSE can be regarded as a function of the signal-to-noise ratio (SNR) as well as a functional…

Information Theory · Computer Science 2010-04-21 Dongning Guo , Yihong Wu , Shlomo Shamai , Sergio Verdu

It is well known that matched filtering and sampling (MFS) demodulation together with minimum Euclidean distance (MD) detection constitute the optimal receiver for the additive white Gaussian noise channel. However, for a general nonlinear…

Information Theory · Computer Science 2024-01-25 Kamran Keykhosravi , Morteza Tavana , Erik Agrell , Giuseppe Durisi