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This paper investigates covert data transmission within a multiple-input multiple-output (MIMO) over-the-air computation (AirComp) network, where sensors transmit data to the access point (AP) while guaranteeing covertness to the warden…

Signal Processing · Electrical Eng. & Systems 2024-03-18 Junteng Yao , Tuo Wu , Ming Jin , Cunhua Pan , Quanzhong Li , Jinhong Yuan

We consider the problem of coordinated multi- cell downlink beamforming in massive multiple input multiple output (MIMO) systems consisting of N cells, Nt antennas per base station (BS) and K user terminals (UTs) per cell. Specifically, we…

Information Theory · Computer Science 2015-04-09 Subhash Lakshminarayana , Mohamad Assaad , Merouane Debbah

This paper studies the consensus problem of general linear discrete-time multi-agent systems (MAS) with input constraints and bounded time-varying communication delays. We propose a robust distributed model predictive control (DMPC)…

Systems and Control · Electrical Eng. & Systems 2022-09-20 Henglai Wei , Changxin Liu , Yang Shi

MIMO systems are considered as most promising for wireless communications. However, with an increasing number of radio front ends the corresponding energy consumption and costs become an issue, which can be relieved by the utilization of…

Information Theory · Computer Science 2019-09-30 Erico S. P. Lopes , Lukas T. N. Landau

Constant envelope (CE) precoding is an appealing transmission technique, which enables highly efficient power amplification, and is realizable with a single radio frequency (RF) chain at the multi-antenna transmitter. In this paper, we…

Information Theory · Computer Science 2016-09-09 Shuowen Zhang , Rui Zhang , Teng Joon Lim

Quantized channel state information (CSI) plays a critical role in precoding design which helps reap the merits of multiple-input multiple-output (MIMO) technology. In order to reduce the overhead of CSI feedback, we propose a deep learning…

Information Theory · Computer Science 2019-09-25 Chao Lu , Wei Xu , Shi Jin , Kezhi Wang

We propose an efficient distributed online learning protocol for low-latency real-time services. It extends a previously presented protocol to kernelized online learners that represent their models by a support vector expansion. While such…

Machine Learning · Computer Science 2019-12-02 Michael Kamp , Sebastian Bothe , Mario Boley , Michael Mock

The emerging connected-vehicle technology provides a new dimension in developing more intelligent traffic control algorithms for signalized intersections in networked transportation systems. An important challenge for the scheduling problem…

Networking and Internet Architecture · Computer Science 2017-01-20 Ping-Chun Hsieh , Xi Liu , Jian Jiao , I-Hong Hou , Yunlong Zhang , P. R. Kumar

In this letter, we propose a sphere bounding scheme for probabilistic robust constructive interference (CI) power minimizing precoding, to address the imperfect channel state information (CSI) caused by the channel error (CE), which…

Signal Processing · Electrical Eng. & Systems 2019-03-13 Yuning You , Gangming Lv

We propose an algorithm for joint precoding and user selection in multiple-input multiple-output systems with extremely-large aperture arrays, assuming realistic channel conditions and imperfect channel estimates. The use of long-term…

Information Theory · Computer Science 2024-10-28 Jose P. Gonzalez-Coma , F. Javier Lopez-Martinez , Luis Castedo

The main challenges of distributed MIMO systems lie in achieving highly accurate synchronization and ensuring the availability of accurate channel state information (CSI) at distributed nodes. This paper analytically examines the effects of…

Signal Processing · Electrical Eng. & Systems 2025-04-01 Kumar Sai Bondada , Daniel Jakubisin , R. Michael Buehrer

The efficacy of massive multiple-input multiple-output (MIMO) techniques heavily relies on the accuracy of channel state information (CSI) in frequency division duplexing (FDD) systems. Many works focus on CSI compression and quantization…

Signal Processing · Electrical Eng. & Systems 2024-05-31 Xinran Sun , Zhengming Zhang , Luxi Yang

Multi-tier networks with large-array base stations (BSs) that are able to operate in the "massive MIMO" regime are envisioned to play a key role in meeting the exploding wireless traffic demands. Operated over small cells with…

Information Theory · Computer Science 2015-05-05 Qiaoyang Ye , Ozgun Y. Bursalioglu , Haralabos C. Papadopoulos

This paper considers coordinated multicast beamforming in a multi-cell wireless network. Each multiantenna base station (BS) serves multiple groups of single antenna users by generating a single beam with common data per group. The aim is…

Information Theory · Computer Science 2016-11-17 Harri Pennanen , Dimitrios Christopoulos , Symeon Chatzinotas , Björn Ottersten

In a multiple-input multiple-output (MIMO) system, the availability of channel state information (CSI) at the transmitter is essential for performance improvement. Recent convolutional neural network (NN) based techniques show competitive…

Information Theory · Computer Science 2018-11-20 Chao Lu , Wei Xu , Hong Shen , Jun Zhu , Kezhi Wang

Channel state information (CSI) is of pivotal importance as it enables wireless systems to adapt transmission parameters more accurately, thus improving the system's overall performance. However, it becomes challenging to acquire accurate…

Signal Processing · Electrical Eng. & Systems 2022-08-12 Muhammad Karam Shehzad , Luca Rose , Muhammad Furqan Azam , Mohamad Assaad

Coarsely quantized massive Multiple-Input Multiple-Output (MIMO) systems are gaining more interest due to their power efficiency. We present a new precoding technique to mitigate the Multi-User Interference (MUI) and the quantization…

Information Theory · Computer Science 2018-01-30 Hela Jedda , Amine Mezghani , A. Lee Swindlehurst , Josef A. Nossek

In this letter, we investigate the resource allocation for downlink multi-cell coordinated OFDMA wireless networks, in which power allocation and subcarrier scheduling are jointly optimized. Aiming at maximizing the weighted sum of the…

Information Theory · Computer Science 2012-09-18 Zesong Fei , Shuo Li , Chengwen Xing , Yiqing Zhou , Jingming Kuang

This paper presents a robust precoder design for resilient cell-free massive MIMO (CF-mMIMO) systems that minimizes the weighted sum of desired signal mean square error (MSE) and residual interference leakage power under a total transmit…

Information Theory · Computer Science 2025-12-02 Saeed Mashdour , André R. Flores , Rodrigo C. de Lamare

We investigate a general channel estimation problem in the massive multiple-input multiple-output (MIMO) system which employs the hybrid analog/digital precoding structure with limited radio-frequency (RF) chains. By properly designing RF…

Information Theory · Computer Science 2017-12-27 Leyuan Pan , Le Liang , Wei Xu , Xiaodai Dong