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This paper considers the fundamental power allocation problem in cell-free massive mutiple-input and multiple-output (MIMO) systems which aims at maximizing the total energy efficiency (EE) under a sum power constraint at each access point…

Information Theory · Computer Science 2022-01-21 Trang C. Mai , Hien Quoc Ngo , Le-Nam Tran

We propose a Stochastic Gradient Descent (SGD)-type algorithm for Personalized Federated Learning which can be particularly attractive for mobile energy-limited regimes due to its low per-client computational cost. The model to be trained…

Machine Learning · Computer Science 2025-12-15 Sotirios Nikoloutsopoulos , Iordanis Koutsopoulos , Michalis K. Titsias

Imagine an array with a massive (possibly uncountably infinite) number of antennas in a compact space. We refer to a system of this sort as Holographic MIMO. Given the impressive properties of Massive MIMO, one might expect a holographic…

Information Theory · Computer Science 2021-11-03 Andrea Pizzo , Thomas L. Marzetta , Luca Sanguinetti

Learning-based MIMO detection has shown strong empirical performance, yet existing methods typically rely on fixed-depth architectures without explicitly modeling the progressive refinement of symbol estimates. In this paper, we revisit…

Information Theory · Computer Science 2026-05-04 Nan Jiang , Jiadong Hong , Lei Liu , Xinyu Bian , Wenjie Wang , Zhaoyang Zhang

In dual-functional communication-radar systems, common radio frequency (RF) signals are used for both communication and detection. For better compatibility with existing communication systems, we adopt multiple-input multiple-output (MIMO)…

Information Theory · Computer Science 2022-10-14 Chen Zhong , Chunrong Gu , Lan Tang , Yechao Bai , Mengting Lou

State-of-the-art schemes for performance analysis and optimization of multiple-input multiple-output systems generally experience degradation or even become invalid in dynamic complex scenarios with unknown interference and channel state…

Information Theory · Computer Science 2022-07-01 Fan Meng , Shengheng Liu , Yongming Huang , Zhaohua Lu

Blind modulation classification is an important step to implement cognitive radio networks. The multiple-input multiple-output (MIMO) technique is widely used in military and civil communication systems. Due to the lack of prior information…

Machine Learning · Computer Science 2020-04-02 Weiheng Jiang , Xiaogang Wu , Bolin Chen , Wenjiang Feng , Yi Jin

Intraoperative hypotension (IOH) prediction using past physiological signals is crucial, as IOH may lead to inadequate organ perfusion and significantly elevate the risk of severe complications and mortality. However, current methods often…

Machine Learning · Computer Science 2025-09-26 Mingyue Cheng , Jintao Zhang , Zhiding Liu , Chunli Liu

Communication efficiency is of importance for wireless federated learning systems. In this paper, we propose a communication-efficient strategy for federated learning over multiple-input multiple-output (MIMO) multiple access channels…

Information Theory · Computer Science 2022-06-14 Yo-Seb Jeon , Mohammad Mohammadi Amiri , Namyoon Lee

A new approach toward the noncoherent communications over the time varying fading channels is presented. In this approach, the relationship between the input signal space and the output signal space of a correlatively changing fading…

Information Theory · Computer Science 2014-01-13 Mina Karzand , Lizhong Zheng

Cell-free massive multiple-input multiple-output (MIMO) provides more uniform spectral efficiency (SE) for users (UEs) than cellular technology. The main challenge to achieve the benefits of cell-free massive MIMO is to realize signal…

Information Theory · Computer Science 2022-03-22 Jiayi Zhang , Jing Zhang , Emil Björnson , Bo Ai

This paper investigates the maximal achievable rate for a given blocklength and error probability over quasi-static multiple-input multiple-output (MIMO) fading channels, with and without channel state information (CSI) at the transmitter…

Information Theory · Computer Science 2014-04-17 Wei Yang , Giuseppe Durisi , Tobias Koch , Yury Polyanskiy

This paper studies the ergodic mutual information of hybrid selection/maximal-ratio combining (H-S/MRC) diversity system under BPSK/QPSK modulations. We consider a simple single-input multiple-output (SIMO) channel, where a subset of…

Signal Processing · Electrical Eng. & Systems 2019-06-20 Zeliang Ou , Chongjun Ouyang , Pei Yang , Lu Zhang , Hongwen Yang , Xin Zhang

With antenna spacing much less than half a wavelength in confined space, holographic multiple-input multiple-output (HMIMO) technology presents a promising frontier in next-generation mobile communication. We delve into the research of the…

Information Theory · Computer Science 2024-10-14 Mengyu Qian , Li You , Xiang-Gen Xia , Xiqi Gao

In general, reliable communication via multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) requires accurate channel estimation at the receiver. The existing literature largely focuses on denoising…

Signal Processing · Electrical Eng. & Systems 2025-08-12 Myeung Suk Oh , Seyyedali Hosseinalipour , Taejoon Kim , Christopher G. Brinton , David J. Love

In this work, a new static relaying protocol is introduced for half duplex single-relay networks, and its performance is studied in the context of communications over slow fading wireless channels. The proposed protocol is based on a Decode…

Information Theory · Computer Science 2009-08-31 Nassar Ksairi , Philippe Ciblat , Pascal Bianchi , Walid Hachem

The K-user symmetric multiple input multiple output (MIMO) Gaussian interference channel (IC) where each transmitter has M antennas and each receiver has N antennas is studied from a generalized degrees of freedom (GDOF) perspective. An…

Information Theory · Computer Science 2012-08-10 Parthajit Mohapatra , Chandra R. Murthy

In this paper, we obtain asymptotic expressions for the ergodic capacity of the keyhole multiple-input multiple-output (MIMO) channel at low signal-to-noise ratio (SNR) in independent and identically distributed Nakagami-$m$ fading…

Information Theory · Computer Science 2022-06-07 Kamal Singh , Chandradeep Singh , Kuang-Hao Liu

In the context of cell-free massive multi-input multi-output (CFmMIMO), zero-forcing precoding (ZFP) is superior in terms of spectral efficiency. However, it suffers from channel aging owing to fronthaul and processing delays. In this…

Information Theory · Computer Science 2022-10-12 Wei Jiang , Hans D. Schotten

We study the information rates of non-coherent, stationary, Gaussian, multiple-input multiple-output (MIMO) flat-fading channels that are achievable with nearest neighbor decoding and pilot-aided channel estimation. In particular, we…

Information Theory · Computer Science 2014-04-09 A. Taufiq Asyhari , Tobias Koch , Albert Guillén i Fàbregas