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Millimeter (mm) wave massive MIMO has the potential for delivering orders of magnitude increases in mobile data rates, with compact antenna arrays providing narrow steerable beams for unprecedented levels of spatial reuse. A fundamental…

Signal Processing · Electrical Eng. & Systems 2018-12-05 Maryam Eslami Rasekh , Upamanyu Madhow

Extremely large-scale multiple-input multiple-output (XL-MIMO) is a key enabling technology for sixth-generation (6G) communication systems. Nevertheless, the increase in array aperture and signal bandwidth brings new challenges to wideband…

Signal Processing · Electrical Eng. & Systems 2026-04-23 Qingxia Feng , Yin Fang , Meng Hua , Cheng Zhang , Chunguo Li , Yongming Huang , Luxi Yang

In practical mobile communication engineering applications, surfaces of antenna array deployment regions are usually uneven. Therefore, massive multi-input-multi-output (MIMO) communication systems usually transmit wireless signals by…

Information Theory · Computer Science 2016-04-19 Xiaohu Ge , Ran Zi , Haichao Wang , Jing Zhang , Minho Jo

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

Channel uncertainty and co-channel interference are two major challenges in the design of wireless systems such as future generation cellular networks. This paper studies receiver design for a wireless channel model with both time-varying…

Information Theory · Computer Science 2009-10-15 Yan Zhu , Dongning Guo , Michael L. Honig

Following recent advances in terahertz (THz) technology, there is a consensus on the crucial role of THz communications in the next generation of wireless systems. Aiming at catalyzing THz communications research, we propose TeraMIMO, an…

Channel estimation is useful in millimeter wave (mmWave) MIMO communication systems. Channel state information allows optimized designs of precoders and combiners under different metrics such as mutual information or…

Information Theory · Computer Science 2017-04-28 Javier Rodríguez-Fernández , Nuria González-Prelcic , Kiran Venugopal , Robert W. Heath

This paper is concerned with the channel estimation problem in millimetre wave (MMW) wireless systems with large antenna arrays. By exploiting the sparse nature of the MMW channel, we present an efficient estimation algorithm based on a…

Information Theory · Computer Science 2018-04-19 Matthew Kokshoorn , Peng Wang , Yonghui Li , Branka Vucetic

Multiple-input multiple-output (MIMO) millimeter wave (mmWave) communication is a key technology for next generation wireless networks. One of the consequences of utilizing a large number of antennas with an increased bandwidth is that…

Signal Processing · Electrical Eng. & Systems 2020-02-19 Mingjin Wang , Feifei Gao , Mark F. Flanagan , Nir Shlezinger , Yonina C. Eldar

Massive MIMO is a compelling wireless access concept that relies on the use of an excess number of base-station antennas, relative to the number of active terminals. This technology is a main component of 5G New Radio (NR) and addresses all…

Information Theory · Computer Science 2018-08-29 Liesbet Van der Perre , Liang Liu , Erik G. Larsson

The point-to-point multiple-antenna channel is investigated in uncorrelated block fading environment with Rayleigh distribution. The maximum throughput and maximum expected-rate of this channel are derived under the assumption that the…

Information Theory · Computer Science 2012-01-17 Mahdi Zamani , Amir K. Khandani

To meet the growing data traffic demand in future wireless systems, novel transmission architectures capable of adapting to complex propagation environments are required. Movable antenna (MA) systems have recently emerged as a promising…

Signal Processing · Electrical Eng. & Systems 2026-04-21 Xiaoyi Zhang , Amna Irshad , Emil Björnson

This book chapter reviews signal detection and parameter estimation techniques for multiuser multiple-antenna wireless systems with a very large number of antennas, known as massive multi-input multi-output (MIMO) systems. We consider both…

Information Theory · Computer Science 2014-08-22 R. C. de Lamare , R. Sampaio Neto

In past 802.11 systems there is a single Radio Frequency (RF) chain on the Wi-Fi device. Multiple antennas use the same hardware to process the radio signal. So only one antenna can transmit or receive at a time as all radio signals need to…

Networking and Internet Architecture · Computer Science 2012-08-21 M. D. Sirajul Huque , C. Surekha , S. Pavan Kumar Reddy , Vidhisha Yadav

This paper surveys recent advances in the area of very large MIMO systems. With very large MIMO, we think of systems that use antenna arrays with an order of magnitude more elements than in systems being built today, say a hundred antennas…

Information Theory · Computer Science 2015-06-03 Fredrik Rusek , Daniel Persson , Buon Kiong Lau , Erik G. Larsson , Thomas L. Marzetta , Ove Edfors , Fredrik Tufvesson

Millimeter-wave (mmWave) channels, which occupy frequency ranges much higher than those being used in previous wireless communications systems, are utilized to meet the increased throughput requirements that come with 5G communications. The…

Signal Processing · Electrical Eng. & Systems 2023-02-16 Esen Özbay

Synchronization of transceiver chains is a major challenge in the practical realization of massive MIMO and especially distributed massive MIMO. While frequency synchronization is comparatively easy to achieve, estimating the carrier phase…

Signal Processing · Electrical Eng. & Systems 2022-12-23 Florian Euchner , Phillip Stephan , Marc Gauger , Stephan ten Brink

Distributed massive multiple-input multiple-output (MIMO) combines the array gain of coherent MIMO processing with the proximity gains of distributed antenna setups. In this paper, we analyze how transceiver hardware impairments affect the…

Information Theory · Computer Science 2015-06-04 Emil Björnson , Michail Matthaiou , Antonios Pitarokoilis , Erik G. Larsson

This paper presents a statistical block fading channel model for multiuser massive MIMO system. The proposed channel model is evolved from correlation based stochastic channel model (CBSCM) but in addition to the properties of CBSCM, it has…

Information Theory · Computer Science 2016-04-05 Suresh Dahiya

In this paper, we analyze the performance of the uplink communication of massive multi-cell multiple-input multiple-output (MIMO) systems under the effects of pilot contamination and delayed channels because of terminal mobility. The base…

Information Theory · Computer Science 2016-11-17 Anastasios K. Papazafeiropoulos , Hien Quoc Ngo , Tharm Ratnarajah