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Massive multiple-input multiple-output (mMIMO) communications are one of the enabling technologies of 5G and beyond networks. While prior work indicates that mMIMO networks employing time division duplexing have a significant capacity…

Signal Processing · Electrical Eng. & Systems 2020-12-17 Flavio Maschietti , Gábor Fodor , David Gesbert , Paul de Kerret

This paper proposes a spatially common sparsity based adaptive channel estimation and feedback scheme for frequency division duplex based massive multi-input multi-output (MIMO) systems, which adapts training overhead and pilot design to…

Information Theory · Computer Science 2023-10-20 Zhen Gao , Linglong Dai , Zhaocheng Wang , Sheng Chen

This paper investigates a two-timescale uplink transmission framework for a fluid antenna-enabled multiuser multi-input multi-output system (MIMO-FAS). Antenna positions are optimized based on statistical channel state information (CSI),…

Signal Processing · Electrical Eng. & Systems 2025-03-04 Linyue Hu , Luchu Li , Cunhua Pan , Hong Ren

Full dimension (FD) multiple-input multiple-output (MIMO) technology has attracted substantial research attention from both wireless industry and academia in the last few years as a promising technique for next-generation wireless…

Information Theory · Computer Science 2019-06-07 Qurrat-Ul-Ain Nadeem , Abla Kammoun , Mohamed-Slim Alouini

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

Massive multiple-input multiple-output (MIMO) systems deploying a large number of antennas at the base station considerably increase the spectrum efficiency by serving multiple users simultaneously without causing severe interference.…

Information Theory · Computer Science 2019-02-19 Yu Han , Qi Liu , Chao-Kai Wen , Shi Jin , Kai-Kit Wong

Massive MIMO is widely considered as a key enabler of the next generation 5G networks. With a large number of antennas at the Base Station, both spectral and energy efficiencies can be enhanced. Unfortunately, the downlink channel…

Information Theory · Computer Science 2019-08-14 Ali Maatouk , Salah Eddine Hajri , Mohamad Assaad , Hikmet Sari

This paper investigates joint device activity detection and channel estimation for grant-free random access in Low-earth orbit (LEO) satellite communications. We consider uplink communications from multiple single-antenna terrestrial users…

Information Theory · Computer Science 2025-04-09 Rui Mao , Yongpeng Wu , Boxiao Shen , Symeon Chatzinotas , Björn Ottersten , Wenjun Zhang

We propose a downlink beamforming scheme that combines spatial division and orthogonal space-time block coding (OSTBC) in multi-user massive MIMO systems. The beamformer is divided into two parts: a pre-beamforming matrix to separate the…

Information Theory · Computer Science 2018-09-12 Ke-Wen Huang , Hui-Ming Wang , Jia Hou , Shi Jin

Massive MIMO OFDM waveforms help support a large number of users in the same time-frequency resource and also provide significant array gain for uplink reception in cellular systems. However, channel estimation in such large antenna systems…

Information Theory · Computer Science 2024-06-04 P Aswathylakshmi , Radha Krishna Ganti

Doubly selective (DS) channel estimation in largescale multiple-input multiple-output (MIMO) systems is a challenging problem due to the requirement of unaffordable pilot overheads and prohibitive complexity. In this paper, we propose a…

Information Theory · Computer Science 2015-11-10 Bo Gong , Qibo Qin , Xiang Ren , Lin Gui , Hanwen Luo , Wen Chen

Dynamic metasurface antennas (DMAs) are emerging as a promising technology to enable energy-efficient, large array-based multi-antenna systems. This paper presents a simple channel estimation scheme for the downlink of a multiple-input…

Signal Processing · Electrical Eng. & Systems 2026-03-17 Amarilton L. Magalhães , Fazal E-Asim , André L. F. de Almeida , A. Lee Swindlehurst

Multiple transmitting antennas can considerably increase the downlink spectral efficiency by beamforming to multiple users at the same time. However, multiuser beamforming requires channel state information (CSI) at the transmitter, which…

Information Theory · Computer Science 2017-01-31 Xu Du , John Tadrous , Ashutosh Sabharwal

We study a full-duplex (FD) cell-free massive MIMO system where distributed access points (APs) operate in FD mode while user equipments (UEs) remain half-duplex. Although simultaneous uplink (UL) and downlink (DL) transmissions improve…

Signal Processing · Electrical Eng. & Systems 2026-05-11 Bikshapathi Gouda , Antti Tölli

In frequency-division duplexing systems, the downlink channel state information (CSI) acquisition scheme leads to high training and feedback overheads. In this paper, we propose an uplink-aided downlink channel acquisition framework using…

Information Theory · Computer Science 2024-10-28 Jiajia Guo , Chao-Kai Wen , Shi Jin

We consider a wireless network comprising multiple singleantenna repeaters that amplify and instantaneously re-transmit received signals in a full-duplex (FD) communication setting. Specifically, we study a massive multiple-input multiple…

Information Theory · Computer Science 2026-01-29 Mohammadali Mohammadi , Dhanushka Kudathanthirige , Himal A. Suraweera , Hien Quoc Ngo , Michail Matthaiou

This paper investigates the downlink (DL) transmit design for massive multiple-input multiple-output (MIMO) low-earth-orbit (LEO) satellite communication systems, where only the slow-varying statistical channel state information is…

Signal Processing · Electrical Eng. & Systems 2022-02-01 Ke-Xin Li , Li You , Jiaheng Wang , Xiqi Gao , Christos G. Tsinos , Symeon Chatzinotas , Björn Ottersten

Conventional spatial modulation (SM) is typically considered for transmission in the downlink of small-scale MIMO systems, where a single one of a set of antenna elements (AEs) is activated for implicitly conveying extra bits. By contrast,…

Information Theory · Computer Science 2016-04-26 Zhen Gao , Linglong Dai , Zhaocheng Wang , Sheng Chen , Lajos Hanzo

Massive multiple-input multiple-output (MIMO) networks, where the base stations (BSs) are equipped with large number of antennas and serve a number of users simultaneously, are very promising, but suffer from pilot contamination. Despite…

Information Theory · Computer Science 2015-04-10 Anastasios K. Papazafeiropoulos , Hien Quoc Ngo , Tharm Ratnarajah

A critical hindrance in realizing frequency division duplex (FDD) massive multi-input multi-output (MIMO) systems is the overhead associated with the downlink (DL) channel state information at the transmitter (CSIT) acquisition. To address…

Information Theory · Computer Science 2024-11-19 Namhyun Kim , Ian P. Roberts , Jeonghun Park