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Employing low resolution analog-to-digital converters in massive multiple-input multiple-output (MIMO) has many advantages in terms of total power consumption, cost and feasibility of such systems. However, such advantages come together…

Information Theory · Computer Science 2024-10-30 Ali Bulut Üçüncü , Gökhan Muzaffer Güvensen , Ali Özgür Yılmaz

Recently, intelligent reflecting surface (IRS)-assisted communication has gained considerable attention due to its advantage in extending the coverage and compensating the path loss with low-cost passive metasurface. This paper considers…

Signal Processing · Electrical Eng. & Systems 2023-10-03 Silei Wang , Qiang Li , Jingran Lin

Cell-free massive MIMO is a key 6G technology, offering superior spectral and energy efficiency. However, its dense deployment of low-cost access points (APs) makes hardware impairments unavoidable. While narrowband impairments are…

Signal Processing · Electrical Eng. & Systems 2025-07-30 Özlem Tuğfe Demir , Muhammed Selman Somuncu , Ahmet M. Elbir , Emil Björnson

This paper addresses the design of multi-antenna precoding strategies, considering hardware limitations such as low-resolution digital-to-analog converters (DACs), which necessitate the quantization of transmitted signals. The typical…

Signal Processing · Electrical Eng. & Systems 2025-09-09 Xiuxiu Ma , Abla Kammoun , Mohamed-Slim Alouini , Tareq Y. Al-Naffouri

Massive multi-user (MU) multiple-input multiple- output (MIMO) is widely believed to be a core technology for the upcoming fifth-generation (5G) wireless communication standards. The use of low-precision digital-to-analog converters (DACs)…

Information Theory · Computer Science 2016-12-09 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Tom Goldstein , Christoph Studer

This paper considers an uplink multiuser massive multiple-input-multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs), in which K users with a single-antenna communicate with one base station (BS) with Nr…

Information Theory · Computer Science 2017-04-12 Song-Nam Hong , Seonho Kim , Namyoon Lee

Analog-to-digital conversion (ADC) is a key bottleneck in scaling DSP-centric receiver architectures to multiGigabit/s speeds. Recent information-theoretic results, obtained under ideal channel conditions (perfect synchronization, no…

Information Theory · Computer Science 2011-12-21 Jaspreet Singh , Upamanyu Madhow

Fronthaul quantization causes a significant distortion in cell-free massive MIMO networks. Due to the limited capacity of fronthaul links, information exchange among access points (APs) must be quantized significantly. Furthermore, the…

Signal Processing · Electrical Eng. & Systems 2024-05-03 Vida Ranjbar , Robbert Beerten , Marc Moonen , Sofie Pollin

Massive multiple-input multiple-output (MIMO) can improve the overall system performance significantly. Massive MIMO systems, however, may require a large number of radio frequency (RF) chains that could cause high cost and power…

Information Theory · Computer Science 2022-06-28 Hwanjin Kim , Junil Choi

In this paper, we analytically study the performance of multiple-input multiple-output underwater wireless optical communication (MIMO UWOC) systems with on-off keying (OOK) modulation. To mitigate turbulence-induced fading, which is…

Information Theory · Computer Science 2016-12-20 Mohammad Vahid Jamali , Jawad A. Salehi , Farhad Akhoundi

Low-resolution digital-to-analog and analog-to-digital converters (DACs and ADCs) have attracted considerable attention in efforts to reduce power consumption in millimeter wave (mmWave) and massive MIMO systems. This paper presents an…

Information Theory · Computer Science 2020-08-04 Sourjya Dutta , Abbas Khalili , Elza Erkip , Sundeep Rangan

Line-of-sight (LoS) multi-input multi-output (MIMO) systems exhibit attractive scaling properties with increase in carrier frequency: for a fixed form factor and range, the spatial degrees of freedom increase quadratically for 2D arrays, in…

Signal Processing · Electrical Eng. & Systems 2021-08-04 Ahmet Dundar Sezer , Upamanyu Madhow

Recently, multi-user multiple input multiple output (MU-MIMO) systems with low-resolution digital-to-analog converters (DACs) has received considerable attention, owing to the capability of dramatically reducing the hardware cost. Besides,…

Signal Processing · Electrical Eng. & Systems 2019-05-16 Lei Chu , Fei Wen , Robert Caiming Qiu

In this work, the behaviour of bit error rates for both conventional and massive MIMO systems with high order constellations, which are essential to achieve spectral efficiency for 5G standard communications, has been evaluated. We have…

Signal Processing · Electrical Eng. & Systems 2018-08-08 Vishnupraneeth Reddy , Pravir Singh Gupta , Gwan Seong Choi

In massive multiple-input multiple-output (MIMO) systems, the user equipment (UE) needs to feed the channel state information (CSI) back to the base station (BS) for the following beamforming. But the large scale of antennas in massive MIMO…

Information Theory · Computer Science 2022-11-10 Xudong Zhang , Zhilin Lu , Rui Zeng , Jintao Wang

The use of 1-bit analog-to-digital converters (ADCs) is seen as a promising approach to significantly reduce the power consumption and hardware cost of multiple-input multiple-output (MIMO) receivers. However, the nonlinear distortion due…

Information Theory · Computer Science 2022-10-12 Neil Irwin Bernardo , Jingge Zhu , Yonina C. Eldar , Jamie Evans

In this paper, the efficiency of various MIMO detectors was analyzed from the perspective of highly correlated channels, where MIMO systems have a lack of performance, besides in some cases an increasing complexity. Considering this hard,…

Signal Processing · Electrical Eng. & Systems 2018-10-09 João Lucas Negrão , Taufik Abrão

This paper investigated the uplink of multi-user massive multi-input multi-output (MIMO) systems with a mixed analog-to-digital converter (ADC) receiver architecture, in which some antennas are equipped with costly full-resolution ADCs and…

Information Theory · Computer Science 2016-08-02 Weiqiang Tan , Shi Jin , Chaokai Wen , Yindi Jing

The majority of quantization methods have been proposed to reduce the model size of Vision Transformers, yet most of them have overlooked the quantization of non-linear operations. Only a few works have addressed quantization for non-linear…

Computer Vision and Pattern Recognition · Computer Science 2025-06-05 Gihwan Kim , Jemin Lee , Sihyeong Park , Yongin Kwon , Hyungshin Kim

Due to heavy reliance of millimeter-wave (mmWave) wireless systems on directional links, Beamforming (BF) with high-dimensional arrays is essential for cellular systems in these frequencies. How to perform the array processing in a power…

Information Theory · Computer Science 2018-01-03 Sourjya Dutta , C. Nicolas Barati , Aditya Dhananjay , Sundeep Rangan