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We provide new analytical results on the uplink data detection in massive multiple-input multiple-output systems with 1-bit analog-to-digital converters. The statistical properties of the soft-estimated symbols (i.e., after linear combining…

Signal Processing · Electrical Eng. & Systems 2023-04-03 Amin Radbord , Italo Atzeni , Antti Tölli

In this work, we focus on the ergodic sum rate in the downlink of a single-cell large-scale multi-user MIMO system in which the base station employs N antennas to communicate with $K$ single-antenna user equipments. A regularized…

Information Theory · Computer Science 2016-01-27 Hugo Falconet , Luca Sanguinetti , Abla Kammoun , Merouane Debbah

This work aims to design a cellular network for maximal energy efficiency (EE). In particular, we consider the uplink with multi-antenna base stations and assume that zero- forcing (ZF) combining is used for data detection with imperfect…

Information Theory · Computer Science 2017-09-19 Andrea Pizzo , Daniel Verenzuela , Luca Sanguinetti , Emil Björnson

This paper analyzes how the distortion created by hardware impairments in a multiple-antenna base station affects the uplink spectral efficiency (SE), with focus on Massive MIMO. The distortion is correlated across the antennas, but has…

Information Theory · Computer Science 2018-05-22 Emil Björnson , Luca Sanguinetti , Jakob Hoydis

In this paper, we investigate hybrid analog/digital beamforming for multiple-input multiple-output (MIMO) systems with low-resolution analog-to-digital converters (ADCs) for millimeter wave (mmWave) communications. In the receiver, we…

Information Theory · Computer Science 2019-05-01 Jinseok Choi , Gilwon Lee , Brian L. Evans

This paper proposes an asymptotically optimal hybrid beamforming solution for large antenna arrays by exploiting the properties of the singular vectors of the channel matrix. It is shown that the elements of the channel matrix with Rayleigh…

Information Theory · Computer Science 2016-08-10 Sohail Payami , Mir Ghoraishi , Mehrdad Dianati

In this paper, we study the channel estimation problem in correlated massive multiple-input-multiple-output (MIMO) systems with a reduced number of radio-frequency (RF) chains. Importantly, other than the knowledge of channel correlation…

Information Theory · Computer Science 2021-11-10 Javad Mirzaei , Shahram ShahbazPanahi , Foad Sohrabi , Raviraj Adve

Cell-free Massive MIMO is considered as a promising technology for satisfying the increasing number of users and high rate expectations in beyond-5G networks. The key idea is to let many distributed access points (APs) communicate with all…

Information Theory · Computer Science 2019-09-19 Emil Björnson , Luca Sanguinetti

We study the multi-user massive multiple-input-single-output (MISO) and focus on the downlink systems where the base station (BS) employs hybrid analog-digital precoding with low-cost 1-bit digital-to-analog converters (DACs). In this…

Signal Processing · Electrical Eng. & Systems 2018-10-30 Ang Li , Christos Masouros , Fan Liu

The high hardware complexity of a massive MIMO base station, which requires hundreds of radio chains, makes it challenging to build commercially. One way to reduce the hardware complexity and power consumption of the receiver is to lower…

Information Theory · Computer Science 2017-09-15 Christopher Mollén , Junil Choi , Erik G. Larsson , Robert W. Heath

Hybrid beamforming for frequency-selective channels is a challenging problem as the phase shifters provide the same phase shift to all of the subcarriers. The existing approaches solely rely on the channel's frequency response and the…

Information Theory · Computer Science 2019-03-13 Sohail Payami , Mathini Sellathurai , Konstantinos Nikitopoulos

Massive multiple-input multiple-output (MIMO) is promising for low earth orbit (LEO) satellite communications due to the potential in enhancing the spectral efficiency. However, the conventional fully digital precoding architectures might…

Information Theory · Computer Science 2022-08-16 Li You , Xiaoyu Qiang , Ke-Xin Li , Christos G. Tsinos , Wenjin Wang , Xiqi Gao , Björn Ottersten

In this paper, the performance of uplink spectral efficiency in massive multiple input multiple output (MIMO) over spacially correlated Ricean fading channel is presented. The maximum ratio combining (MRC) receiver is employed at the base…

Information Theory · Computer Science 2017-07-20 Juan Cao , Dongming Wang , Jiamin Li , Qiang Sun

In this paper we revisit hybrid analog-digital precoding systems with emphasis on their modelling and radio-frequency (RF) losses, to realistically evaluate their benefits in 5G system implementations. For this, we decompose the analog…

Information Theory · Computer Science 2016-04-28 Adrian Garcia-Rodriguez , Vijay Venkateswaran , Pawel Rulikowski , Christos Masouros

This paper considers the uplink of user-centric cell-free massive MIMO (multiple-input multiple-output) systems. We utilize the user-centric dynamic cooperation clustering (DCC) framework and derive the achievable spectral efficiency with…

Information Theory · Computer Science 2021-09-10 Özlem Tuğfe Demir , Emil Björnson , Luca Sanguinetti

We propose a generalized feedback model and compressive sensing based opportunistic feedback schemes for feedback resource reduction in MIMO Broadcast Channels under the assumption that both uplink and downlink channels undergo block…

Information Theory · Computer Science 2015-02-17 Syed Qaseem , Tareq Al-Naffouri , Mohammed Eltayeb , Hamid Reza Bahrami

A massive MIMO system entails a large number (tens or hundreds) of base station antennas serving a much smaller number of terminals. These systems demonstrate large gains in spectral and energy efficiency compared with conventional MIMO…

Information Theory · Computer Science 2017-01-19 Ansuman Adhikary , Alexei Ashikhmin , Thomas L. Marzetta

Low-resolution analog-to-digital converters (ADCs) have emerged as an efficient solution for massive multiple-input multiple-output (MIMO) systems to reap high data rates with reasonable power consumption and hardware complexity. In this…

Signal Processing · Electrical Eng. & Systems 2024-11-12 Mengyuan Ma , Nhan Thanh Nguyen , Italo Atzeni , Markku Juntti

In this letter, we derive an approximate analytical expression for the uplink achievable rate of a massive multi-input multi-output (MIMO) antenna system when finite precision analog-digital converters (ADCs) and the common maximal ratio…

Information Theory · Computer Science 2015-12-03 Li Fan , Shi Jin , Chao-Kai Wen , Haixia Zhang

The conventional digital beamforming technique needs one radio frequency (RF) chain per antenna element. High power consumption, significantly high cost of RF chain components per antenna and complex signal processing task at base band…

Signal Processing · Electrical Eng. & Systems 2025-04-25 Om Nath Acharya , Ram Kaji Budhathoki , Santosh Shaha