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In this paper, we propose a learning-based detection framework for uplink massive multiple-input and multiple-output (MIMO) systems with one-bit analog-to-digital converters. The learning-based detection only requires counting the…

Signal Processing · Electrical Eng. & Systems 2024-03-25 Yunseong Cho , Jinseok Choi , Brian L. Evans

Current outdoor mobile network infrastructure cannot support uplink intensive mobile applications such as connected vehicles that collect and upload large amount of real time data. Our investigation reveals that with maximum-ratio (MR)…

Information Theory · Computer Science 2019-02-13 Hong Yang , Erik G. Larsson

Massive multiple-input multiple-output (MIMO) systems have been drawing considerable interest due to the growing throughput demands on wireless networks. In the uplink, massive MIMO systems are commonly studied assuming that each base…

Information Theory · Computer Science 2018-11-28 Nir Shlezinger , Yonina C. Eldar

The development of learning-based detectors for massive multi-input multi-output (MIMO) systems has been hindered by the inherent complexities arising from the problem's high dimensionality. To enhance scalability, most previous studies…

Information Theory · Computer Science 2025-07-30 Hao Ye , Le Liang

We investigate massive multiple-input-multiple output (MIMO) uplink systems with 1-bit analog-to-digital converters (ADCs) on each receiver antenna. Receivers that rely on 1-bit ADC do not need energy-consuming interfaces such as automatic…

Information Theory · Computer Science 2014-05-01 Chiara Risi , Daniel Persson , Erik G. Larsson

Multiple-input multiple-output (MIMO) system is the key technology for long term evolution (LTE) and 5G. The information detection problem at the receiver side is in general difficult due to the imbalance of decoding complexity and decoding…

Signal Processing · Electrical Eng. & Systems 2019-03-20 Qian Chen , Shunqing Zhang , Shugong Xu , Shan Cao

In what ways could cellular massive MIMO be improved? This technology has already been shown to bring huge performance gains. However, coverage holes and difficulties to transmit multiple streams to multi-antenna users because of…

Signal Processing · Electrical Eng. & Systems 2025-01-08 Sara Willhammar , Hiroki Iimori , Joao Vieira , Lars Sundström , Fredrik Tufvesson , Erik G. Larsson

We consider joint channel estimation and faulty antenna detection for massive multiple-input multiple-output (MIMO) systems operating in time-division duplexing (TDD) mode. For systems with faulty antennas, we show that the impact of faulty…

Information Theory · Computer Science 2017-09-21 Peng Zhang , Lu Gan , Cong Ling , Sumei Sun

This paper considers a mobile edge computing-enabled cell-free massive MIMO wireless network. An optimization problem for the joint allocation of uplink powers and remote computational resources is formulated, aimed at minimizing the total…

Information Theory · Computer Science 2022-02-17 Giovanni Interdonato , Stefano Buzzi

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

To leverage high-frequency bands in 6G wireless systems and beyond, employing massive multiple-input multipleoutput (MIMO) arrays at the transmitter and/or receiver side is crucial. To mitigate the power consumption and hardware complexity…

Signal Processing · Electrical Eng. & Systems 2025-10-01 Amin Radbord , Italo Atzeni , Antti Tölli

In this paper, we investigate cell-free massive MIMO (CF-mMIMO) systems in which access points (APs) are equipped with fluid antennas (FAs) and develop a comprehensive framework for channel estimation, antenna port selection, and uplink…

Information Theory · Computer Science 2025-12-30 Maryam Olyaee , Giovanni Interdonato , Stefano Buzzi

Massive multiple-input multiple-output (MIMO) networks, where the base stations (BSs) are equipped with large number of antennas and serve a number of users simultaneously, are very promising, but suffer from pilot contamination. Despite…

Information Theory · Computer Science 2015-04-10 Anastasios K. Papazafeiropoulos , Hien Quoc Ngo , Tharm Ratnarajah

We consider the uplink of a multicell multiuser multiple-input multiple-output system where the channel experiences both small and large-scale fading. The data detection is done by using the linear zero-forcing technique, assuming the base…

Information Theory · Computer Science 2012-07-02 Hien Quoc Ngo , Michail Matthaiou , Trung Q. Duong , Erik G. Larsson

Linear detectors such as zero forcing (ZF) or minimum mean square error (MMSE) are imperative for large/massive MIMO systems for both the downlink and uplink scenarios. However these linear detectors require matrix inversion which is…

Information Theory · Computer Science 2016-11-15 Vipul Gupta , Abhay Kumar Sah , A. K. Chaturvedi

Massive multiple-input multiple-output (MIMO) is expected to play a central role in future wireless systems. The deployment of large antenna arrays at the base station and the mobile users offers multiplexing and beamforming gains that…

Information Theory · Computer Science 2016-11-17 Ahmed Alkhateeb , Young-Han Nam , Jianzhong Zhang , Robert W. Heath

Cell-free massive multiple-input-multiple-output is considered a promising technology for the next generation of wireless communication networks. The main idea is to distribute a large number of access points (APs) in a geographical region…

Signal Processing · Electrical Eng. & Systems 2026-01-28 Andreas Angelou , Pourya Behmandpoor , Marc Moonen

This paper deals with SC/FDE within a MU-MIMO system where a large number of BS antennas is adopted. In this context, either linear or reduced-complexity iterative DF detection techniques are considered. Regarding performance evaluation by…

Information Theory · Computer Science 2015-02-20 Paulo Torres , Luis Charrua , Antonio Gusmao

We consider the downlink of a cooperative cellular communications system, where several base-stations around each mobile cooperate and perform zero-forcing to reduce the received interference at the mobile. We derive closed-form expressions…

Information Theory · Computer Science 2023-09-26 Itsik Bergel , Siddhartan Govindasamy

We present a general framework for the characterization of the packet error probability achievable in cell-free Massive multiple-input multiple output (MIMO) architectures deployed to support ultra-reliable low-latency (URLLC) traffic. The…

Information Theory · Computer Science 2023-04-17 Alejandro Lancho , Giuseppe Durisi , Luca Sanguinetti