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Utilizing low-resolution analog-to-digital converters (ADCs) in uplink massive multiple-input multiple-output (MIMO) systems is a practical solution to decrease power consumption. The performance gap between the low and high-resolution…

Information Theory · Computer Science 2023-10-05 Gökhan Yılmaz , Ali Özgür Yılmaz

Cell-free Massive multiple-input multiple-output (MIMO) is considered, where distributed access points (APs) multiply the received signal by the conjugate of the estimated channel, and send back a quantized version of this weighted signal…

Information Theory · Computer Science 2019-07-09 Manijeh Bashar , Kanapathippillai Cumanan , Alister G. Burr , Hien Quoc Ngo , Merouane Debbah , Pei Xiao

We present a novel non-linear precoding technique for the transmission of 16 quadrature amplitude modulation (QAM) symbols in a 1-bit massive multi-user (MU) multipleinput- single-output (MISO) downlink system. We deploy low resolution…

Information Theory · Computer Science 2016-12-19 Donia Ben Amor , Hela Jedda , Josef A. Nossek

This paper presents an efficient quadratic programming (QP) decoder via the alternating direction method of multipliers (ADMM) technique, called QP-ADMM, for binary low-density parity-check (LDPC) codes. Its main contents are as follows:…

Information Theory · Computer Science 2020-02-19 Jing Bai , Yongchao Wang , Qingjiang Shi

This paper considers a multiple-input-multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs). In this system, we propose a novel communication framework that is inspired by supervised learning. The key idea of…

Information Theory · Computer Science 2020-08-07 Yo-Seb Jeon , Song-Nam Hong , Namyoon Lee

This paper analyzes the performance of multicell massive multiple-input and multiple-output (MIMO) systems with variable-resolution analog-to-digital converters (ADCs). In such an architecture, each ADC uses arbitrary quantization…

Information Theory · Computer Science 2021-09-21 Youzhi Xiong , Sanshan Sun , Ning Wei , Li Liu , Zhongpei Zhang

Analog-to-digital converters (ADCs) stand for a significant part of the total power consumption in a massive MIMO base station. One-bit ADCs are one way to reduce power consumption. This paper presents an analysis of the spectral efficiency…

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

Multi-group multicast beamforming in wireless systems with large antenna arrays and massive audience is investigated in this paper. Multicast beamforming design is a well-known non-convex quadratically constrained quadratic programming…

Information Theory · Computer Science 2017-03-07 Erkai Chen , Meixia Tao

In this letter, we investigate the downlink performance of massive multiple-input multiple-output (MIMO) systems where the base station is equipped with one-bit analogto-digital/digital-to-analog converters (ADC/DACs). Considering…

Information Theory · Computer Science 2017-02-13 Yongzhi Li , Cheng Tao , A. Lee Swindlehurst , Amine Mezghani , Liu Liu

Massive multiuser multiple-input multiple-output (MU-MIMO) systems are expected to be the core technology in fifth-generation wireless systems because they significantly improve spectral efficiency. However, the requirement for a large…

Information Theory · Computer Science 2018-04-24 Chang-Jen Wang , Chao-Kai Wen , Shi Jin , Shang-Ho Tsai

One of the 5G promises is to provide Ultra Reliable Low Latency Communications (URLLC) which targets an end to end communication latency that is less than 1ms . The very low latency requirement of URLLC entails a lot of work in all…

Information Theory · Computer Science 2019-03-05 Anis Elgabli , Ali Elghariani , Vaneet Aggarwal , *Mehdi Bennis , Mark R. Bell

A family of low-complexity detection schemes based on channel matrix puncturing targeted for large multiple-input multiple-output (MIMO) systems is proposed. It is well-known that the computational cost of MIMO detection based on QR…

Information Theory · Computer Science 2017-12-07 H. Sarieddeen , M. M. Mansour , A. Chehab

Large-scale multiple-antenna systems have been identified as a promising technology for the next generation of wireless systems. However, by scaling up the number of receive antennas the energy consumption will also increase. One possible…

Information Theory · Computer Science 2019-10-08 Z. Shao , L. Landau , R. C. de Lamare

Non-convex quadratically constrained quadratic programming (QCQP) problems have numerous applications in signal processing, machine learning, and wireless communications, albeit the general QCQP is NP-hard, and several interesting special…

Optimization and Control · Mathematics 2016-09-21 Kejun Huang , Nicholas D. Sidiropoulos

In massive multiple-input multiple-output (MIMO) systems, it may not be power efficient to have a high-resolution analog-to-digital converter (ADC) for each antenna element. In this paper, a near maximum likelihood (nML) detector for uplink…

Information Theory · Computer Science 2016-02-12 Junil Choi , Jianhua Mo , Robert W. Heath

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

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

A promising approach to deal with the high hardware cost and energy consumption of massive MIMO transmitters is to use low-resolution digital-to-analog converters (DACs) at each antenna element. This leads to a transmission scheme where the…

Information Theory · Computer Science 2023-10-10 Zheyu Wu , Junjie Ma , Ya-Feng Liu , A. Lee Swindlehurst

The spatial Sigma-Delta ($\Sigma\Delta$) architecture can be leveraged to reduce the quantization noise and enhance the effective resolution of few-bit analog-to-digital converters (ADCs) at certain spatial frequencies of interest.…

Signal Processing · Electrical Eng. & Systems 2025-09-22 Toan-Van Nguyen , Sajjad Nassirpour , Italo Atzeni , Antti Tolli , A. Lee Swindlehurst , Duy H. N. Nguyen

Media-based modulation (MBM) is a novel modulation technique that can improve the spectral efficiency of the existing wireless systems. In MBM, multiple radio frequency (RF) mirrors are placed near the transmit antenna(s) and are switched…

Information Theory · Computer Science 2021-01-07 Manish Mandloi , Devendra Singh Gurjar
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