English
Related papers

Related papers: Quantized Massive MU-MIMO-OFDM Uplink

200 papers

Even if massive multiple-input multiple-output (MIMO) can theoretically bring huge benefits, it incurs substantial hardware complexity and expensive hardware costs. To address these issues while maintaining the system performance…

Information Theory · Computer Science 2021-09-21 Xi Yang , Shi Jin , Geoffrey Ye Li , Xiao Li

In this work, we consider a 1-bit quantized massive MIMO channel with superimposed pilot (SP) scheme, dubbed QSP. With linear minimum mean square error (LMMSE) channel estimator and maximum ratio combining (MRC) receiver at the BS, we…

Information Theory · Computer Science 2018-06-25 M. A. Teeti , Rui Wang , Reza Abdolee

Orthogonal time frequency space (OTFS) modulation and massive multi-input multi-output (MIMO) are promising technologies for next generation wireless communication systems for their abilities to counteract the issue of high mobility with…

Signal Processing · Electrical Eng. & Systems 2025-04-14 Mingming Duan , Pengfei Zhang , Shun Zhang , Yao Ge , Octavia A. Dobre , Chau Yuen

This study proposes the construction of a transmit signal for large-scale antenna systems with cost-effective 1-bit digital-to-analog converters in the downlink. Under quadrature-amplitude-modulation constellations, it is still an open…

Information Theory · Computer Science 2021-06-02 Sungyeal Park , Yunseong Cho , Songnam Hong

In this paper, we investigate the uplink performance of cell-free (CF) extremely large-scale multiple-input-multipleoutput (XL-MIMO) systems, which is a promising technique for future wireless communications. More specifically, we consider…

Information Theory · Computer Science 2023-02-15 Hao Lei , Zhe Wang , Huahua Xiao , Jiayi Zhang , Bo Ai

In this paper, the uplink adaptation for massive multiple-input-multiple-output (MIMO) networks without the knowledge of user density is considered. Specifically, a novel cooperative uplink transmission and detection scheme is first…

Information Theory · Computer Science 2019-04-30 Yang Li , Zezhong Zhang , Rui Wang , Kaibin Huang , Yifan Chen

We consider a cognitive radio network consisting of a primary cellular system and a secondary cognitive machine-to-machine (M2M) system, and study the throughput enhancement problem of the latter system employing universal-filtered…

Information Theory · Computer Science 2017-08-16 Mirza Golam Kibria , Gabriel Porto Villardi , Kentaro Ishizu , Fumihide Kojima

Cell-Free massive MIMO networks provide huge power gains and resolve inter-cell interference by coherent processing over a massive number of distributed instead of co-located antennas in access points (APs). Cost-efficient hardware is…

Signal Processing · Electrical Eng. & Systems 2023-05-23 Yibo Wu , Luca Sanguinetti , Ulf Gustavsson , Alexandre Graell i Amat , Henk Wymeersch

Adopting one-bit analog-to-digital convertors (ADCs) for massive multiple-input multiple-output (MIMO) implementations has great potential in reducing the hardware cost and power consumption. However, distortions caused by quantization…

Information Theory · Computer Science 2021-02-12 Mingjie Shao , Wing-Kin Ma

In this work we extend the concept of uplink-downlink rate balancing to frequency division duplex (FDD) massive MIMO systems. We consider a base station with large number antennas serving many single antenna users. We first show that any…

Information Theory · Computer Science 2016-05-04 Itsik Bergel , Yona Perets , Shlomo Shamai

In this paper, we consider a multiuser multiple-input multiple-output (MU-MIMO) communication system between a base station equipped with multiple antennas and multiple mobile users each equipped with a single antenna. The uplink scenario…

Information Theory · Computer Science 2014-09-23 Songtao Lu , Zhengdao Wang

This work studies coarse quantization-aware BD (${\scriptstyle\mathrm{CQA-BD}}$) and coarse quantization-aware RBD (${\scriptstyle\mathrm{CQA-RBD}}$) precoding algorithms for large-scale MU-MIMO systems with coarsely quantized signals and…

Information Theory · Computer Science 2021-12-15 S. F. Pinto , R. C. de Lamare

The power consumption of digital-to-analog converters (DACs) constitutes a significant proportion of the total power consumption in a massive multiuser multiple-input multiple-output (MU-MIMO) base station (BS). Using 1-bit DACs can…

Signal Processing · Electrical Eng. & Systems 2019-06-11 Lei Chu , Fei Wen , Lily Li , Robert Qiu

This letter offers a new frequency domain equalization (FDE) scheme that can work with a pseudo-random quantization (PRQ) scheme utilizing non-zero threshold quantization in one-bit uplink multi-user massive multiple-input multiple-output…

Information Theory · Computer Science 2024-02-09 Gökhan Yılmaz , Ali Özgür Yılmaz

Semantic communication (SemCom) has received considerable attention for its ability to reduce data transmission size while maintaining task performance. However, existing works mainly focus on analog SemCom with simple channel models, which…

Signal Processing · Electrical Eng. & Systems 2024-01-05 Chuanhong Liu , Caili Guo , Yang Yang , Wanli Ni , Tony Q. S. Quek

Massive MIMO, also known as very-large MIMO or large-scale antenna systems, is a new technique that potentially can offer large network capacities in multi-user scenarios. With a massive MIMO system, we consider the case where a base…

Information Theory · Computer Science 2016-11-17 Xiang Gao , Ove Edfors , Fredrik Rusek , Fredrik Tufvesson

Millimeter-wave (mmWave) technology is a crucial enabler for next-generation networks because it offers substantially greater available bandwidth. mmWave multiple-input multiple-output (MIMO) systems cannot rely solely on fully digital…

Signal Processing · Electrical Eng. & Systems 2026-04-21 Navid Reyhanian , Parisa Ramezani , Emil Björnson

In millimeter wave (mmWave) systems, we investigate uplink user scheduling when a basestation employs low-resolution analog-to-digital converters (ADCs) with a large number of antennas. To reduce power consumption in the receiver,…

Information Theory · Computer Science 2018-02-01 Jinseok Choi , Brian L. Evans

We consider transmission of system information in massive MIMO. This information needs to be reliably delivered to inactive users in the cell without any channel state information at the base station. Downlink transmission entails the use…

Information Theory · Computer Science 2017-11-21 Marcus Karlsson , Emil Björnson , Erik G. Larsson

Millimeter wave systems suffer from high power consumption and are constrained to use low resolution quantizers --digital to analog and analog to digital converters (DACs and ADCs). However, low resolution quantization leads to reduced data…

Information Theory · Computer Science 2022-02-08 Abbas Khalili , Elza Erkip , Sundeep Rangan
‹ Prev 1 8 9 10 Next ›