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This paper proposes and analyzes novel deep learning methods for downlink (DL) single-user multiple-input multiple-output (SU-MIMO) and multi-user MIMO (MU-MIMO) systems operating in time division duplex (TDD) mode. A motivating application…

Information Theory · Computer Science 2024-02-05 Juseong Park , Foad Sohrabi , Amitava Ghosh , Jeffrey G. Andrews

Massive multi-input multi-output (Massive MIMO) has been recognized as a key technology to meet the demand for higher data capacity and massive connectivity. Nevertheless, the number of active users is restricted due to training overhead…

Information Theory · Computer Science 2018-03-19 Salah Eddine Hajri , Maialen Larrañaga , Mohamad Assaad

This paper proposes a deep learning approach to channel sensing and downlink hybrid beamforming for massive multiple-input multiple-output systems operating in the time division duplex mode and employing either single-carrier or…

Information Theory · Computer Science 2022-06-30 Kareem M. Attiah , Foad Sohrabi , Wei Yu

A wireless massive MIMO system entails a large number (tens or hundreds) of base station antennas serving a much smaller number of users, with large gains in spectral-efficiency and energy-efficiency compared with conventional MIMO…

Information Theory · Computer Science 2014-11-18 Alexei Ashikhmin , Thomas L. Marzetta , Liangbin Li

This paper considers a single-cell massive MIMO (multiple-input multiple-output) system with dual-polarized antennas at both the base station and users. We study a channel model that includes the key practical aspects that arise when…

Information Theory · Computer Science 2022-09-21 Özgecan Özdogan , Emil Björnson

The integration of low earth orbit (LEO) satellites with terrestrial communication networks holds the promise of seamless global connectivity. The efficiency of this connection, however, depends on the availability of reliable channel state…

Signal Processing · Electrical Eng. & Systems 2025-05-13 Yasaman Omid , Marios Aristodemou , Sangarapillai Lambotharan , Mahsa Derakhshani , Lajos Hanzo

In this paper, a practical precoding method for the downlink of filter bank multicarrier-based (FBMC-based) massive multiple-input multiple-output (MIMO) is developed. The proposed method includes a two-stage precoder consisting of a…

Signal Processing · Electrical Eng. & Systems 2022-01-27 Hamed Hosseiny , Arman Farhang , Behrouz Farhang-Boroujeny

Next generation wireless networks aim at providing substantial improvements in spectral efficiency (SE) and energy efficiency (EE). Massive MIMO has been proved to be a viable technology to achieve these goals by spatially multiplexing…

Signal Processing · Electrical Eng. & Systems 2017-09-25 Daniel Verenzuela , Emil Björnson , Luca Sanguinetti

In this study, we explore the integration of satellites with ground-based communication networks. Specifically, we analyze downlink data transmission from a constellation of satellites to terrestrial users and address the issue of delayed…

Signal Processing · Electrical Eng. & Systems 2024-06-11 Yasaman Omid , Sangarapillai Lambotharan , Mahsa Derakhshani

Massive multiple-input multiple-output (MIMO) with frequency division duplex (FDD) mode is a promising approach to increasing system capacity and link robustness for the fifth generation (5G) wireless cellular systems. The premise of these…

Networking and Internet Architecture · Computer Science 2019-07-30 Chaojin Qing , Bin Cai , Qingyao Yang , Jiafan Wang , Chuan Huang

Massive multiple input multiple output (M-MIMO) technology plays a pivotal role in fifth-generation (5G) and beyond communication systems, offering a wide range of benefits, from increased spectral efficiency (SE) to enhanced energy…

Information Theory · Computer Science 2024-09-12 Muhammad Kamran Saeed , Ashfaq Khokhar , Shakil Ahmed

In conventional multi-user multiple-input multiple-output (MU-MIMO) systems with frequency division duplexing (FDD), channel acquisition and precoder optimization processes have been designed separately although they are highly coupled.…

Information Theory · Computer Science 2022-09-22 Jeonghyeon Jang , Hoon Lee , Il-Min Kim , Inkyu Lee

When base stations (BSs) are deployed with multiple antennas, they need to have downlink (DL) channel state information (CSI) to optimize downlink transmissions by beamforming. The DL CSI is usually measured at mobile stations (MSs) through…

Information Theory · Computer Science 2022-06-28 Hyuckjin Choi , Junil Choi

Recent advances in massive multiple-input multiple-output (MIMO) communication show that equipping base stations (BSs) with large arrays of antenna can significantly improve the performance of cellular networks. Massive MIMO has the…

Signal Processing · Electrical Eng. & Systems 2018-04-18 Yan Huang , Brian Jalaian , Stephen Russell , Hooman Samani

This paper considers a cellular system with a full-duplex base station and half-duplex users. The base station can activate one user in uplink or downlink (half-duplex mode), or two different users one in each direction simultaneously…

Information Theory · Computer Science 2018-05-01 Shahram Shahsavari , David Ramirez , Elza Erkip

In the cell-free massive multiple-input multiple-output (CF mMIMO) system, the centralized transmission scheme is widely adopted to manage the inter-user interference. Unfortunately, its implementation is limited by the extensive signaling…

Signal Processing · Electrical Eng. & Systems 2022-08-02 Hongkang Yu , Xinquan Ye , Yijian Chen

This paper investigates the design of distributed precoding for multi-satellite massive MIMO transmissions. We first conduct a detailed analysis of the transceiver model, in which delay and Doppler precompensation is introduced to ensure…

Signal Processing · Electrical Eng. & Systems 2026-01-13 Yafei Wang , Vu Nguyen Ha , Konstantinos Ntontin , Hong Yan , Wenjin Wang , Symeon Chatzinotas , Björn Ottersten

This letter focuses on the pilot contamination problem in the uplink and downlink of cell-free massive multiple-input multiple-output networks with different degrees of cooperation between access points. The optimum minimum mean square…

Information Theory · Computer Science 2021-10-06 Alberto Alvarez Polegre , Luca Sanguinetti , Ana Garcia Armada

In this paper, a new state-of-the-art multi-cell MMSE scheme is proposed for massive MIMO networks, which includes an uplink MMSE detector and a downlink MMSE precoder. The main novelty is that it exploits all available pilots for…

Information Theory · Computer Science 2015-05-27 Xueru Li , Emil Björnson , Erik G. Larsson , Shidong Zhou , Jing Wang

Cell-free Massive MIMO (multiple-input multiple-output) refers to a distributed Massive MIMO system where all the access points (APs) cooperate to coherently serve all the user equipments (UEs), suppress inter-cell interference and mitigate…

Information Theory · Computer Science 2019-09-09 Giovanni Interdonato , Hien Quoc Ngo , Pål Frenger , Erik G. Larsson