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In this paper we consider the problem of full-duplex multiple-input multiple-output (MIMO) relaying between multi-antenna source and destination nodes. The principal difficulty in implementing such a system is that, due to the limited…

Information Theory · Computer Science 2015-06-03 Brian P. Day , Adam R. Margetts , Daniel W. Bliss , Philip Schniter

A multiplicity of autonomous terminals simultaneously transmits data streams to a compact array of antennas. The array uses imperfect channel-state information derived from transmitted pilots to extract the individual data streams. The…

Information Theory · Computer Science 2012-05-23 Hien Quoc Ngo , Erik G. Larsson , Thomas L. Marzetta

This paper presents a new view of multi-user (MU) hybrid massive multiple-input and multiple-output (MIMO) systems from array signal processing perspective. We first show that the instantaneous channel vectors corresponding to different…

Information Theory · Computer Science 2022-10-18 Hai Lin , Feifei Gao , Shi Jin , Geoffrey Ye Li

With the evolution of multiple-input multiple-output (MIMO) technology toward extremely large (XL) MIMO systems comprising hundreds of, or more, antennas, this work investigates scalable and fronthaul-efficient reception design for the…

Signal Processing · Electrical Eng. & Systems 2026-04-24 Dogon Kim , Hyunmin Noh , Seok-Hwan Park

Massive multiple-input multiple-output (MIMO) is a transmission technique for cellular systems that uses many antennas to support not-as-many users. Thus far, the performance of massive MIMO has only been examined in finite cellular…

Information Theory · Computer Science 2013-05-13 Tianyang Bai , Robert W. Heath,

Motivated by the demand for energy-efficient communication solutions in the next generation cellular network, a mixed-ADC receiver architecture for massive multiple input multiple output (MIMO) systems is proposed, which differs from…

Information Theory · Computer Science 2015-07-28 Ning Liang , Wenyi Zhang

Millimeter wave signals with multiple transmit and receive antennas are considered as enabling technology for enhanced mobile broadband services in 5G systems. While this combination is mainly associated with achieving high data rates, it…

Information Theory · Computer Science 2018-08-03 Rico Mendrzik , Henk Wymeersch , Gerhard Bauch

A dynamic and flexible generalized spatial modulation (GSM) framework is proposed for massive MIMO systems. Our framework is leveraged on the utilization of machine learning methods for GSM in order to improve the error performance in…

Signal Processing · Electrical Eng. & Systems 2019-03-12 Selen Gecgel , Caner Goztepe , Gunes Karabulut Kurt

This paper investigates the performance of a massive multiple-input multiple-output (MIMO) system that uses a large transmit antenna array with antenna elements spaced densely. Under the assumption of idealized uniform linear antenna arrays…

Information Theory · Computer Science 2016-01-25 Keigo Takeuchi

Multiple-input-multiple-output (MIMO) systems of current LTE releases are capable of adaptation in the azimuth only. Recently, the trend is to enhance system performance by exploiting the channel's degrees of freedom in the elevation, which…

Information Theory · Computer Science 2016-04-21 Qurrat-Ul-Ain Nadeem , Abla Kammoun , Merouane Debbah , Mohamed-Slim Alouini

Recently, deep learning has been proposed as a potential technique for improving the physical layer performance of radio receivers. Despite the large amount of encouraging results, most works have not considered spatial multiplexing in the…

Signal Processing · Electrical Eng. & Systems 2020-11-02 Dani Korpi , Mikko Honkala , Janne M. J. Huttunen , Vesa Starck

Optimal data detection in multiple-input multiple-output (MIMO) communication systems with a large number of antennas at both ends of the wireless link entails prohibitive computational complexity. In order to reduce the computational…

Information Theory · Computer Science 2015-10-22 Charles Jeon , Ramina Ghods , Arian Maleki , Christoph Studer

Phase noise (PN) is a major disturbance in MIMO systems, where the contribution of different oscillators at the transmitter and the receiver side may degrade the overall performance and offset the gains offered by MIMO techniques. This is…

Information Theory · Computer Science 2024-05-14 Alberto Tarable , Francisco J. Escribano

Massive multiple-input multiple-output (MIMO) has been a critical enabling technology in 5th generation (5G) wireless networks. With the advent of 6G, a natural evolution is to employ even more antennas, potentially an order of magnitude…

Signal Processing · Electrical Eng. & Systems 2024-08-13 Wentao Yu , Yifan Ma , Hengtao He , Shenghui Song , Jun Zhang , Khaled B. Letaief

This paper considers a low-complexity Gaussian Message Passing Iterative Detection (GMPID) algorithm for Multiple-Input Multiple-Output systems with Non-Orthogonal Multiple Access (MIMO-NOMA), in which a base station with $N_r$ antennas…

Information Theory · Computer Science 2016-07-05 Lei Liu , Chau Yuen , Yong Liang Guan , Ying Li , Chongwen Huang

The increasing demand for wireless data transfer has been the driving force behind the widespread adoption of Massive MIMO (multiple-input multiple-output) technology in 5G. The next-generation MIMO technology is now being developed to…

Massive multiple-input multiple-output (MIMO) is an important technology in fifth generation (5G) cellular networks and beyond. To help design the beamforming at the base station, 5G has introduced new support in the form of flexible…

Signal Processing · Electrical Eng. & Systems 2023-02-01 Ryan M. Dreifuerst , Robert W. Heath

Massive MIMO is a variant of multiuser MIMO, where the number of antennas $M$ at the base-station is large, and generally much larger than the number of spatially multiplexed data streams to/from the users. It has been observed that in many…

Information Theory · Computer Science 2017-07-25 Saeid Haghighatshoar , Giuseppe Caire

Antennas of transmitters and receivers have been manipulated to increase the capacity of transmission and reception of signals. Using many elements in antennas to shape beams and direct nulls in a particular point for optimum signal…

Networking and Internet Architecture · Computer Science 2016-10-18 Mboli Sechang Julius

This work considers multiple-input multiple-output (MIMO) communication systems using hierarchical modulation. A disadvantage of the maximum-likelihood (ML) MIMO detector is that computational complexity increases exponentially with the…

Information Theory · Computer Science 2016-02-24 Yigit Ugur , Ali Ozgur Yilmaz