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Related papers: Pilot Decontamination in CMT-based Massive MIMO Ne…

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In this paper, we propose a coordinated pilot design method to minimize the channel estimation mean squared error (MSE) in 1-bit analog-to-digital converters (ADCs) massive multiple-input multiple-output (MIMO). Under the assumption that…

Signal Processing · Electrical Eng. & Systems 2025-11-14 Hyeongtak Yun , Juntaek Han , Kaiming Shen , Jeonghun Park

This paper focuses on the use of a deep learning approach to perform sum-rate-max and max-min power allocation in the uplink of a cell-free massive MIMO network. In particular, we train a deep neural network in order to learn the mapping…

Information Theory · Computer Science 2019-08-30 Carmen D'Andrea , Alessio Zappone , Stefano Buzzi , Merouane Debbah

Cognitive radios have been proposed as agile technologies to boost the spectrum utilization. This paper tackles the problem of channel estimation and its impact on downlink transmissions in an underlay cognitive radio scenario. We consider…

Information Theory · Computer Science 2015-05-11 Maha Alodeh , Symeon Chatzinotas , Bjorn Ottersten

Coarsely quantized MIMO signalling methods have gained popularity in the recent developments of massive MIMO as they open up opportunities for massive MIMO implementation using cheap and power-efficient radio-frequency front-ends. This…

Information Theory · Computer Science 2020-01-08 Mingjie Shao , Wing-Kin Ma , Qiang Li , Lee Swindlehurst

A method for channel estimation in wideband massive Multiple-Input Multiple-Output (MIMO) systems using covariance identification is developed. The method is useful for Frequency-Division Duplex (FDD) at either sub-6GHz or millimeter wave…

Signal Processing · Electrical Eng. & Systems 2024-10-30 José González-Coma , Pedro Suárez-Casal , Paula M. Castro , Luis Castedo , Michael Joham

Multiple-input multiple-output (MIMO) system is the key technology for long term evolution (LTE) and 5G. The information detection problem at the receiver side is in general difficult due to the imbalance of decoding complexity and decoding…

Signal Processing · Electrical Eng. & Systems 2019-03-20 Qian Chen , Shunqing Zhang , Shugong Xu , Shan Cao

We consider a multi-cell massive multiple-input-multiple-output (MIMO) system with correlated Rayleigh fading channels, where pilot reuse is permitted within each cell (to reduce pilot overhead), and each base station (BS) utilizes…

Information Theory · Computer Science 2025-07-08 Masoud Elyasi , Azadeh Vosoughi

A multicarrier-division duplex (MDD)-based cell-free (CF) scheme, namely MDD-CF, is proposed, which enables downlink (DL) data and uplink (UL) data or pilots to be concurrently transmitted on mutually orthogonal subcarriers in distributed…

Information Theory · Computer Science 2022-11-01 Bohan Li , Lie-Liang Yang , Robert G. Maunder , Songlin Sun , Pei Xiao

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

This paper introduces a novel iterative algorithm for optimizing pilot and data power control (PC) in cell-free massive multiple-input multiple-output (CF-mMIMO) systems, aiming to enhance system performance under real-time channel…

Signal Processing · Electrical Eng. & Systems 2026-01-05 Saeed Mohammadzadeh , Mostafa Rahmani , Kanapathippillai Cumanan , Alister Burr , Pei Xiao

We consider a multi-cell multiple-input multiple-output (MIMO) coordinated downlink transmission, also known as network MIMO, under per-antenna power constraints. We investigate a simple multiuser zero-forcing (ZF) linear precoding…

Information Theory · Computer Science 2013-04-18 Saeed Kaviani , Witold A. Krzymien

We study downlink channel estimation in a multi-cell Massive multiple-input multiple-output (MIMO) system operating in time-division duplex. The users must know their effective channel gains to decode their received downlink data. Previous…

Information Theory · Computer Science 2021-11-30 Amin Ghazanfari , Trinh Van Chien , Emil Björnson , Erik G. Larsson

Massive MIMO has been regarded as a key enabling technique for 5G and beyond networks. Nevertheless, its performance is limited by the large overhead needed to obtain the high-dimensional channel information. To reduce the huge training…

Signal Processing · Electrical Eng. & Systems 2021-04-20 Ye Xue , Yifei Shen , Vincent Lau , Jun Zhang , Khaled B. Letaief

This paper proposes a new transmission strategy for the multiuser massive multiple-input multiple-output (MIMO) systems, including uplink/downlink channel estimation and user scheduling for data transmission. A discrete Fourier transform…

Information Theory · Computer Science 2016-01-12 Hongxiang Xie , Feifei Gao , Shun Zhang , Shi Jin

This article reviews existing related work and identifies the main challenges in the key 5G area at the intersection of waveform design and large-scale multiple antenna systems, also known as Massive MIMO. The property of self-equalization…

Information Theory · Computer Science 2016-09-26 Arman Farhang , Nicola Marchetti , Fabricio Figueiredo , Joao Paulo Miranda

Multiple-input multiple-output (MIMO) or multi-antenna communication is a key technique to achieve high spectral efficiency in wireless systems. For the point-to-point MIMO channel, it is a well-known result that the channel singular value…

Information Theory · Computer Science 2016-11-17 Liang Liu , Rui Zhang

This paper presents a generalized closed-form beamforming technique that can achieve the maximum degrees of freedom in compounded multiple-input multiple-output (MIMO) broadcast channels with mixed classes of multiple-antenna users. The…

Information Theory · Computer Science 2020-04-27 Galymzhan Nauryzbayev , Emad Alsusa , Mohamed Abdallah

The recent proposed affine frequency division multiplexing (AFDM) employing a multi-chirp waveform has shown its reliability and robustness in doubly selective fading channels. In the existing embedded pilot-aided channel estimation…

Signal Processing · Electrical Eng. & Systems 2024-04-17 Kai Zheng , Miaowen Wen , Tianqi Mao , Lixia Xiao , Zhaocheng Wang

This paper considers the problem of pilot design for compressive multiple-input multiple-output (MIMO) channel estimation. In particular, we are interested in estimating the channels for multiple transmitters simultaneously when the pilot…

Information Theory · Computer Science 2013-11-05 Peng Zhang , Lu Gan , Sumei Sun , Cong Ling

Base stations with a large number of transmit antennas have the potential to serve a large number of users at high rates. However, the receiver processing in the uplink relies on channel estimates which are known to suffer from pilot…

Information Theory · Computer Science 2016-11-18 Narayanan Krishnan , Roy D. Yates , Narayan B. Mandayam