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Remarkable research activities and major advances have been occurred over the past decade in multiuser multiple-input multiple-output (MU-MIMO) systems. Several transmission technologies and precoding techniques have been developed in order…

Information Theory · Computer Science 2016-11-16 Eduardo Castañeda , Adão Silva , Atílio Gameiro , Marios Kountouris

Large-scale multiple-antenna systems with large bandwidth are fundamental for future wireless communications, where the base station employs a large antenna array. In this scenario, one problem faced is the large energy consumption as the…

Information Theory · Computer Science 2020-05-19 Z. Shao , L. Landau , R. C. de Lamare

Joint optimization of nonlinear precoders and receive filters is studied for both the uplink and downlink in a cellular system. For the uplink, the base transceiver station (BTS) receiver implements successive interference cancellation, and…

Information Theory · Computer Science 2015-10-28 Mingguang Xu , Dongning Guo , Michael L. Honig

This work focuses on distributed linear precoding when users transmit correlated information over a fading Multiple-Input and Multiple-Output Multiple Access Channel. Precoders are optimized in order to minimize the sum-Mean Square Error…

Information Theory · Computer Science 2024-01-31 P. Suárez-Casal , J. P. González-Coma , O. Fresnedo , L. Castedo

Reciprocity-based time-division duplex (TDD) Massive MIMO (multiple-input multiple-output) systems utilize channel estimates obtained in the uplink to perform precoding in the downlink. However, this method has been criticized of breaking…

Information Theory · Computer Science 2022-06-13 Ema Becirovic , Emil Björnson , Erik G. Larsson

In this paper, we develop a low-complexity channel estimation for hybrid millimeter wave (mmWave) systems, where the number of radio frequency (RF) chains is much less than the number of antennas equipped at each transceiver. The proposed…

Information Theory · Computer Science 2017-03-14 Lou Zhao , Derrick Wing Kwan Ng , Jinhong Yuan

Time Divison Duplex (TDD) wireless communication systems are inherently bidirectional, which facilitates exploiting channel reciprocity for pilot based channel estimation of both uplink and downlink. However, there exists a gross asymmetry…

Signal Processing · Electrical Eng. & Systems 2020-07-23 Arun Kumar Miryala , Irina Merin Baby , Kumar Appaiah , Sibi Raj B. Pillai

This paper addresses the problem of uplink and downlink channel estimation in FDD Massive MIMO systems. By utilizing sparse recovery and compressive sensing algorithms, we are able to improve the accuracy of the uplink/downlink channel…

Information Theory · Computer Science 2018-06-01 Yacong Ding , Bhaskar D. Rao

Massive multiple-input multiple-output is a very important technology for future fifth-generation systems. However, massive massive multiple input multiple output systems are still limited because of pilot contamination, impacting the data…

Information Theory · Computer Science 2021-06-28 Qazwan Abdullah , Norsaliza Abdullah , Adeb Salh , Lukman Audah , Nabil Farah , Abbas Ugurenver , Abdu Saif

This paper deals with the problem of precoding in multibeam satellite systems. In contrast to general multiuser multiple-input-multiple-output (MIMO) cellular schemes, multibeam satellite architectures suffer from different challenges.…

Information Theory · Computer Science 2016-12-14 Vahid Joroughi , Miguel Ángel Vázquez , Ana I. Pérez-Neira

Millimeter wave (mmWave) cellular systems will enable gigabit-per-second data rates thanks to the large bandwidth available at mmWave frequencies. To realize sufficient link margin, mmWave systems will employ directional beamforming with…

Information Theory · Computer Science 2015-06-18 Ahmed Alkhateeb , Omar El Ayach , Geert Leus , Robert W. Heath

Recently, channel extrapolation has been widely investigated in frequency division duplex (FDD) massive MIMO systems. However, in time division duplex (TDD) fifth generation (5G) new radio (NR) systems, the channel extrapolation problem…

Signal Processing · Electrical Eng. & Systems 2023-10-16 Yubo Wan , An Liu

This work considers uplink asynchronous massive machine-type communications, where a large number of low-power and low-cost devices asynchronously transmit short packets to an access point equipped with multiple receive antennas. If…

Information Theory · Computer Science 2025-07-22 Z. Shao , X. Yuan , R. de Lamare

Sharing global channel information at base stations (BSs) is commonly assumed for downlink multi-cell precoding. In the context of massive multi-input multi-output (MIMO) systems where each BS is equipped with a large number of antennas,…

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

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

In this paper, we study the problem of uplink channel estimation for near-filed orthogonal frequency division multiplexing (OFDM) systems, where a base station (BS), equipped with an extremely large-scale antenna array (ELAA), serves…

Signal Processing · Electrical Eng. & Systems 2026-01-27 Jionghui Wang , Jun Fang , Hongbin Li , Boyu Ning

Although the benefits of precoding and combining of data signals are widely recognized, the potential of these techniques for pilot transmission is not fully understood. This is particularly relevant for multiuser multiple-input…

Information Theory · Computer Science 2016-11-17 Nima N. Moghadam , Hossein Shokri-Ghadikolaei , Gabor Fodor , Mats Bengtsson , Carlo Fischione

Precoding techniques are key to dealing with multiuser interference in the downlink of cell-free (CF) multiple-input multiple-output systems. However, these techniques rely on accurate estimates of the channel state information at the…

Information Theory · Computer Science 2024-07-09 A. Flores , R. de Lamare

Large-scale multiple-antenna systems have been identified as a promising technology for the next generation of wireless systems. However, by scaling up the number of receive antennas the energy consumption will also increase. One possible…

Information Theory · Computer Science 2019-10-08 Z. Shao , L. Landau , R. C. de Lamare

We introduce novel blind and semi-blind channel estimation methods for cellular time-division duplexing systems with a large number of antennas at each base station. The methods are based on the maximum a-posteriori principle given a prior…

Information Theory · Computer Science 2015-03-31 David Neumann , Michael Joham , Wolfgang Utschick