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In this work, we propose variations of a Gaussian mixture model (GMM) based channel estimator that was recently proven to be asymptotically optimal in the minimum mean square error (MMSE) sense. We account for the need of low computational…

Information Theory · Computer Science 2023-06-06 Benedikt Fesl , Michael Joham , Sha Hu , Michael Koller , Nurettin Turan , Wolfgang Utschick

Fluid antenna systems (FASs) offer substantial spatial diversity by exploiting the electromagnetic port correlation within compact array spaces, thereby generating favorable small-scale fading conditions with beneficial channel gain…

Information Theory · Computer Science 2025-11-19 Haoyu Liang , Zhentian Zhang , Jian Dang , Hao Jiang , Zaichen Zhang

This paper presents a two-phase cooperative communication strategy and an optimal power allocation strategy to transmit sensor observations to a fusion center in a large-scale sensor network. Outage probability is used to evaluate the…

Networking and Internet Architecture · Computer Science 2012-08-23 Li Li , Kamesh Namuduri , Shengli Fu

Approximate outage probability expressions are derived for systems employing maximum ratio combining, when both the desired signal and the interfering signals are subjected to $\eta-\mu$ fading, with the interferers having unequal power.…

Information Theory · Computer Science 2018-05-22 Muralikrishnan Srinivasan , Sheetal Kalyani

The demand for high-speed mobile wireless communications is rapidly growing. Orthogonal Frequency Division Multiplexing (OFDM) technology promises to be a key technique for achieving the high data capacity and spectral efficiency…

Information Theory · Computer Science 2013-03-19 I. Pramanik , M. A. F. M. Rashidul Hasan , Rubaiyat Yasmin , M. Sakir Hossain , Ahmed Kamal S. K

This paper investigates the performance of a multi-reconfigurable intelligent surface (RIS)-assisted fluid antenna system (FAS). In this system, a single-antenna transmitter communicates with a receiver equipped with a planar FAS through…

Signal Processing · Electrical Eng. & Systems 2025-04-29 Mahmoud Aldababsa , Taissir Y. Elganimi , Mahmoud A. Albreem , Saeed Abdallah

Multi-output Gaussian process regression has become an important tool in uncertainty quantification, for building emulators of computationally expensive simulators, and other areas such as multi-task machine learning. We present a holistic…

Methodology · Statistics 2025-02-17 Daria Semochkina , Samuel E. Jackson , David C. Woods

In this letter, the performance of multiuser-radio frequency/free space optics (RF/FSO) two-way relay network in the presence of interference is investigated. The FSO link accounts for pointing errors and both types of detection techniques,…

Signal Processing · Electrical Eng. & Systems 2019-05-09 Abhijeet Upadhya , Vivek K. Dwivedi , Mohamed-Slim Alouini

This paper proposes a unified framework for the effective rate analysis over arbitrary correlated and not necessarily identical multiple inputs single output (MISO) fading channels, which uses moment generating function (MGF) based approach…

Information Theory · Computer Science 2016-12-13 Minglei You , Hongjian Sun , Jing Jiang , Jiayi Zhang

We present the analysis of a single-carrier massive MIMO system for the frequency selective Gaussian multi-user channel, in both uplink and downlink directions. We develop expressions for the achievable sum rate when there is spatial…

Information Theory · Computer Science 2019-10-10 Nader Beigiparast , Gokhan M. Guvensen , Ender Ayanoglu

Gaussian MIMO channel under total transmit and interference power constraints (TPC and IPC) is considered. A closed-form solution for the optimal transmit covariance matrix in the general case is obtained using the KKT-based approach (up to…

Information Theory · Computer Science 2020-02-20 Sergey Loyka

A distributed detection scheme where the sensors transmit with constant modulus signals over a Gaussian multiple access channel is considered. The deflection coefficient of the proposed scheme is shown to depend on the characteristic…

Information Theory · Computer Science 2017-04-05 Cihan Tepedelenlioglu , Sivaraman Dasarathan

We formulate antenna impedance estimation in a classical estimation framework under correlated Raleigh fading channels. Based on training sequences of multiple packets, we derive the ML estimators for antenna impedance and channel variance,…

Information Theory · Computer Science 2023-07-10 Shaohan Wu , Brian Hughes

This work presents a detailed covariance and correlation matrix analysis for experimentally measured cross sections obtained using the activation technique. Both statistical and systematic contributions to the covariance matrix were…

Nuclear Theory · Physics 2026-04-01 Tanmoy Bar

This letter proposes the use of saddle point approximation (SPA) to evaluate the outage probability of wireless cellular networks. Unlike traditional numerical integration-based approaches, the SPA approach relies on cumulant generating…

Information Theory · Computer Science 2016-11-17 Sudarshan Guruacharya , Hina Tabassum , Ekram Hossain

In emergency wireless communications (EWC) scenarios, ensuring reliable, flexible, and high-rate transmission while simultaneously maintaining seamless coverage and rapid response capabilities presents a critical technical challenge. To…

Signal Processing · Electrical Eng. & Systems 2025-10-09 Yinong Chen , Wenchi Cheng , Jingqing Wang , Xiao Zheng , Jiangzhou Wang

In massive multiple-input multiple-output (MIMO) systems, the knowledge of the users' channel covariance matrix is crucial for minimum mean square error (MMSE) channel estimation in the uplink as well as it plays an important role in…

Information Theory · Computer Science 2022-06-07 Tianyu Yang , Mahdi Barzegar Khalilsarai , Saeid Haghighatshoar , Giuseppe Caire

This paper studies the performance of backscatter communications (BC) over emerging fluid antenna (FA) technology. In particular, a single-antenna source sends information to a FA reader through the wireless forward (i.e., source-to-tag)…

Information Theory · Computer Science 2024-01-23 Farshad Rostami Ghadi , Masoud Kaveh , Kai-Kit Wong

The disconnected part of the power spectrum covariance matrix (also known as the "Gaussian" covariance) is the dominant contribution on large scales for galaxy clustering and weak lensing datasets. The presence of a complicated sky mask…

Cosmology and Nongalactic Astrophysics · Physics 2019-12-02 Carlos García-García , David Alonso , Emilio Bellini

The fluid antenna (FA) index modulation (IM)-enabled multiple-input multiple-output (MIMO) system, referred to as FA-IM, significantly enhances spectral efficiency (SE) compared to the conventional FA-assisted MIMO system. To improve…

Information Theory · Computer Science 2024-12-31 Xinghao Guo , Yin Xu , Dazhi He , Cixiao Zhang , Hanjiang Hong , Kai-Kit Wong , Wenjun Zhang , Yiyan Wu
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