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Related papers: Ergodic Mutual Information for Generalized Fadings

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This paper investigates the achievable sum rate of multiple-input multiple-output (MIMO) wireless systems employing linear minimum mean-squared error (MMSE) receivers. We present a new analytic framework which unveils an interesting…

Information Theory · Computer Science 2009-03-05 Matthew R. McKay , Iain B. Collings , Antonia M. Tulino

We explore exceptional points (EP) in a dual-mode symmetric planar optical waveguide with transverse variation of inhomogeneous loss profile; where modal evolution alongside an EP is reported in the context of selective optical mode…

Optics · Physics 2018-03-15 Arnab Laha , Abhijit Biswas , Somnath Ghosh

This paper extends some approximation methods that are used to identify closed form Bit Error Rate (BER) expressions which are frequently utilized in investigation and comparison of performance for wireless communication systems in the…

Information Theory · Computer Science 2016-11-18 Tugcan Aktas , Ali Ozgur Yilmaz , Emre Aktas

Approximate Symbol error rate (SER), outage probability and rate expressions are derived for receive diversity system employing optimum combining when both the desired and the interfering signals are subjected to Rician fading, for the…

Signal Processing · Electrical Eng. & Systems 2019-05-10 Muralikrishnan Srinivasan , Sheetal Kalyani

In this paper, we present the $\alpha$-$\eta$-$\mathcal{F}$ and $\alpha$-$\kappa$-$\mathcal{F}$ composite fading distributions. The two distributions generalize the two well-known composite fading distributions, namely the…

Signal Processing · Electrical Eng. & Systems 2020-05-15 Osamah. S. Badarneh

In this paper, we investigate and reveal the ergodic sum-rate gain (ESG) of non-orthogonal multiple access (NOMA) over orthogonal multiple access (OMA) in uplink cellular communication systems. A base station equipped with a single-antenna,…

Information Theory · Computer Science 2019-03-06 Zhiqiang Wei , Lei Yang , Derrick Wing Kwan Ng , Jinhong Yuan , Lajos Hanzo

Performance of quadrature amplitude modulation (QAM) schemes is analyzed with dual-hop decode-and-forward (DF) relaying systems over mixed $\eta$-$\mu$ and $\kappa$-$\mu$ fading channels. Closed-form expressions are obtained for the average…

Information Theory · Computer Science 2015-09-10 Dharmendra Dixit , P. R. Sahu

We analyze a multi-level MIMO relaying system where a multiple-antenna transmitter sends data to a multipleantenna receiver through several relay levels, also equipped with multiple antennas. Assuming correlated fading in each hop, each…

Information Theory · Computer Science 2016-11-17 Nadia Fawaz , Keyvan Zarifi , Merouane Debbah , David Gesbert

In this paper, we consider the transmission of confidential information over a $\kappa$-$\mu$ fading channel in the presence of an eavesdropper, who also observes $\kappa$-$\mu$ fading. In particular, we obtain novel analytical solutions…

Information Theory · Computer Science 2015-07-27 Nidhi Bhargav , Simon L. Cotton , David E. Simmons

Flat-fading channel models are usually invoked for analyzing the performance of massive spatial modulation multiple-input multiple-output (SM-MIMO) systems. However, in the context of broadband SM transmission, the severe…

Information Theory · Computer Science 2017-12-04 Yue Sun , Jintao Wang , Longzhuang He , Jian Song

There are currently a plurality of capacity theories of fading channels, including the ergodic capacity for fast fading channels and outage capacity for slow fading channels. However, analyses show that the outage capacity is a…

Information Theory · Computer Science 2019-04-01 Xuezhi Yang

In this paper, we propose a novel information theoretic model to interpret the entire "transmission chain" comprising stimulus generation, brain processing by the human subject, and the electroencephalograph (EEG) response measurements as a…

Information Theory · Computer Science 2015-09-15 Ketan Mehta , Jörg Kliewer

Surface electromyography (EMG) is a promising modality for silent speech interfaces, but its effectiveness depends heavily on sensor placement and channel availability. In this work, we investigate the contribution of individual and…

Sound · Computer Science 2026-02-09 Injune Hwang , Jaejun Lee , Kyogu Lee

A Han-Kobayashi based achievable scheme is presented for ergodic fading two-user Gaussian interference channels (IFCs) with perfect channel state information at all nodes and Gaussian codebooks with no time-sharing. Using max-min…

Information Theory · Computer Science 2010-01-19 Lalitha Sankar , Elza Erkip , H. Vincent Poor

The probability density function (PDF) and cumulative distribution function of the sum of L independent but not necessarily identically distributed Gamma variates, applicable to the output statistics of maximal ratio combining (MRC)…

Information Theory · Computer Science 2012-07-19 Imran Shafique Ansari , Ferkan Yilmaz , Mohamed-Slim Alouini , Oğuz Kucur

We consider transmission over the ergodic fading multi-antenna broadcast (MIMO-BC) channel with partial channel state information at the transmitter and full information at the receiver. Over the equivalent {\it non}-fading channel,…

Information Theory · Computer Science 2007-10-14 Amir Bennatan , David Burshtein

This paper investigates a natural generalization of the kappa-mu fading channel in which the line-of-sight (LOS) component is subject to shadowing. This fading distribution has a clear physical interpretation, good analytical properties and…

Information Theory · Computer Science 2024-10-30 J. F. Paris

This letter derives the asymptotic symbol error rate (SER) and outage probability of multiple-input multiple-output (MIMO) maximum ratio combining (MRC) systems. We consider Rayleigh fading channels with both transmit and receive spatial…

Information Theory · Computer Science 2009-11-11 Shi Jin , Matthew R. McKay , Xiqi Gao , Iain B. Collings

The $\alpha$-$\eta$-$\kappa$-$\mu$ is one of the most generalized and flexible channel models having an excellent fit to experimental data from diverse propagation environments. The existing statistical results on the envelope of…

Information Theory · Computer Science 2023-06-13 Pranay Bhardwaj , Eesha Santosh Karnawat , S. M. Zafaruddin

Weight averaging of Stochastic Gradient Descent (SGD) iterates is a popular method for training deep learning models. While it is often used as part of complex training pipelines to improve generalization or serve as a `teacher' model,…

Machine Learning · Computer Science 2024-12-02 Daniel Morales-Brotons , Thijs Vogels , Hadrien Hendrikx
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