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Compressive sensing is a promising solution for the channel estimation in multiple-input multiple-output (MIMO) systems with large antenna arrays and constrained hardware. Utilizing site-specific channel data from real-world systems, deep…

Signal Processing · Electrical Eng. & Systems 2024-05-14 Hao Luo , Ahmed Alkhateeb

Cell-Free Massive MIMO (CF mMIMO) has emerged as a potential enabler for future networks. It has been shown that these networks are much more energy-efficient than classical cellular systems when they are serving users at peak capacity.…

Signal Processing · Electrical Eng. & Systems 2024-04-30 Robbert Beerten , Vida Ranjbar , Andrea P. Guevara , Hazem Sallouha , Sofie Pollin

Cell-Free Massive MIMO is a highly promising approach to enhance network capacity by moving a large number of distributed access points (AP) closer to mobile users while utilizing simple matched filtering and conjugate beamforming. Recent…

Information Theory · Computer Science 2020-12-01 Indu L. Shakya , Falah H. Ali

This paper addresses the problem of joint downlink channel estimation and user grouping in massive multiple-input multiple-output (MIMO) systems, where the motivation comes from the fact that the channel estimation performance can be…

Signal Processing · Electrical Eng. & Systems 2019-01-30 Jisheng Dai , An Liu , Vincent K. N. Lau

Massive MIMO, also known as very-large MIMO or large-scale antenna systems, is a new technique that potentially can offer large network capacities in multi-user scenarios. With a massive MIMO system, we consider the case where a base…

Information Theory · Computer Science 2016-11-17 Xiang Gao , Ove Edfors , Fredrik Rusek , Fredrik Tufvesson

This paper proposes an adaptive channel contention mechanism to optimize the queuing performance of a distributed millimeter wave (mmWave) uplink system with the capability of environment and mobility sensing. The mobile agents determine…

Information Theory · Computer Science 2024-05-13 Bojie Lv , Qianren Li , Rui Wang

We propose adjustable phase shift pilots (APSPs) for channel acquisition in wideband massive multiple-input multiple-output (MIMO) systems employing orthogonal frequency division multiplexing (OFDM) to reduce the pilot overhead. Based on a…

Information Theory · Computer Science 2016-02-23 Li You , Xiqi Gao , A. Lee Swindlehurst , Wen Zhong

This paper considers a low-complexity Gaussian Message Passing Iterative Detection (GMPID) algorithm for massive Multiuser Multiple-Input Multiple-Output (MU-MIMO) system, in which a base station with $M$ antennas serves $K$ Gaussian…

Information Theory · Computer Science 2016-11-17 Lei Liu , Chau Yuen , Yong Liang Guan , Ying Li , Yuping Su

Technologies for mmWave communication are at the forefront of investigations in both industry and academia, as the mmWave band offers the promise of orders of magnitude additional available bandwidths to what has already been allocated to…

Information Theory · Computer Science 2016-11-15 Weng Chon Ao , Chenwei Wang , Ozgun Y. Bursalioglu , Haralabos Papadopoulos

Initial access at millimeter wave frequencies is a challenging problem due to hardware non-idealities and low SNR measurements prior to beamforming. Prior work has exploited the observation that mmWave MIMO channels are sparse in the…

Information Theory · Computer Science 2018-06-06 Nitin Jonathan Myers , Robert W. Heath

In the next generation of wireless systems, Massive MIMO offers high angular resolution for localization. By virtue of large number of antennas, the Angle of Arrival (AoA) of User Terminals (UTs) can be estimated with high accuracy.…

Information Theory · Computer Science 2021-03-11 Masoud Arash , Hamed Mirghasemi , Ivan Stupia , Luc Vandendorpe

An adaptive iterative decision multi-feedback detection algorithm with constellation constraints is proposed for multiuser multi-antenna systems. An enhanced detection and interference cancellation is performed by introducing multiple…

Information Theory · Computer Science 2013-04-24 Peng Li , Jingjing Liu , Rodrigo C. de Lamare

Massive MIMO communication systems, by virtue of utilizing very large number of antennas, have a potential to yield higher spectral and energy efficiency in comparison with the conventional MIMO systems. In this paper, we consider uplink…

Information Theory · Computer Science 2015-07-30 Alam Zaib , Mudassir Masood , Anum Ali , Weiyu Xu , Tareq Y. Al-Naffouri

Cell-Free Massive Multiple-input Multiple-output (mMIMO) consists of many access points (APs) in a coverage area that jointly serve the users. These systems can significantly reduce the interference among the users compared to conventional…

Information Theory · Computer Science 2021-11-16 Abbas Khalili , Alexei Ashikhmin , Hong Yang

Compressive sensing (CS) is an effective approach for fast Magnetic Resonance Imaging (MRI). It aims at reconstructing MR images from a small number of under-sampled data in k-space, and accelerating the data acquisition in MRI. To improve…

Computer Vision and Pattern Recognition · Computer Science 2017-05-22 Yan Yang , Jian Sun , Huibin Li , Zongben Xu

Large-scale (or massive) multiple-input multiple-output (MIMO) is expected to be one of the key technologies in next-generation multi-user cellular systems, based on the upcoming 3GPP LTE Release 12 standard, for example. In this work, we…

Information Theory · Computer Science 2015-06-19 Michael Wu , Bei Yin , Guohui Wang , Chris Dick , Joseph R. Cavallaro , Christoph Studer

Modern mobile terminals produce massive small data packets. For these short-length packets, it is inefficient to follow the current multiple access schemes to allocate transmission resources due to heavy signaling overhead. We propose a…

Information Theory · Computer Science 2016-04-12 Ronggui Xie , Huarui Yin , Xiaohui Chen , Zhengdao Wang

Massive MIMO is a variant of multiuser MIMO in which the number of antennas at the base station (BS) $M$ is very large and typically much larger than the number of served users (data streams) $K$. Recent research has illustrated the…

Information Theory · Computer Science 2018-07-31 Mahdi Nouri Boroujerdi , Saeid Haghighatshoar , Giuseppe Caire

Next-generation wireless communication systems are unifying large-scale multiple-input multiple-output (MIMO) and integrated sensing and communication (ISAC) to enhance sensing and communication performance. In this paper, the signal…

Information Theory · Computer Science 2026-04-22 Jian Wang , Qiqiang Chen , Zheng Wang , Fan Liu , Yili Xia , Yongming Huang , Chau Yuen

An important receiver operation is to detect the presence specific preamble signals with unknown delays in the presence of scattering, Doppler effects and carrier offsets. This task, referred to as "link acquisition", is typically a…

Information Theory · Computer Science 2015-06-11 Xiao Li , Andrea Rueetschi , Anna Scaglione , Yonina C. Eldar
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