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This paper considers a multiple-input multiple-output (MIMO) receiver with very low-precision analog-to-digital convertors (ADCs) with the goal of developing massive MIMO antenna systems that require minimal cost and power. Previous studies…

Information Theory · Computer Science 2016-05-04 Chao-Kai Wen , Chang-Jen Wang , Shi Jin , Kai-Kit Wong , Pangan Ting

We consider a multiple-input multiple-output (MIMO) relaying boardcast channel in downlink cellular networks, where the base station and the relay stations are both equipped with multiple antennas, and each user terminal has only a single…

Signal Processing · Electrical Eng. & Systems 2020-03-24 Zijian Wang , Wen Chen , Jun Li

This paper addresses the problem of uplink transmit power optimization in distributed massive multiple-input multiple-output systems, where remote radio heads (RRHs) are equipped with 1-bit analog-to-digital converters (ADCs). First, in a…

Signal Processing · Electrical Eng. & Systems 2024-07-23 Bikshapathi Gouda , Italo Atzeni , Antti Tölli

As the array dimension of massive MIMO systems increases to unprecedented levels, two problems occur. First, the spatial stationarity assumption along the antenna elements is no longer valid. Second, the large array size results in an…

Information Theory · Computer Science 2024-01-25 Tianyu Yang , Johannes Maly , Sjoerd Dirksen , Giuseppe Caire

Millimeter wave (mmWave) multi-user massive multi-input multi-output (MIMO) is a promising technique for the next generation communication systems. However, the hardware cost and power consumption grow significantly as the number of radio…

Signal Processing · Electrical Eng. & Systems 2021-06-09 Liangyuan Xu , Feifei Gao , Ting Zhou , Shaodan Ma , Wei Zhang

We analyze limited feedback in systems where a multiple-antenna transmitter sends signals to single-antenna receivers with finite-bit ADCs. If channel state information (CSI) is not available with high resolution at the transmitter and the…

Information Theory · Computer Science 2016-12-13 Jianhua Mo , Robert W. Heath

This is the second part of a two-part paper that focuses on link-adaptation (LA) and physical layer (PHY) abstraction for multi-user MIMO (MU-MIMO) systems with non-linear receivers. The first part proposes a new metric, called bit-metric…

Information Theory · Computer Science 2022-09-12 K. Pavan Srinath , Jakob Hoydis

In this paper, a novel full-duplex non-coherent (FD-NC) transmission scheme is developed for massive multiple-input multiple-output (mMIMO) systems using analog beamforming (ABF). We propose to use a structured Grassmannian constellation…

Information Theory · Computer Science 2022-02-01 Asil Koc , Ahmed Masmoudi , Tho Le-Ngoc

In this paper, linear transceiver design for multi-hop amplify-and-forward (AF) multiple-input multiple-out (MIMO) relaying systems with Gaussian distributed channel estimation errors is investigated. Commonly used transceiver design…

Information Theory · Computer Science 2016-11-18 Chengwen Xing , Shaodan Ma , Zesong Fei , Yik-Chung Wu , H. Vincent Poor

This paper focuses on the minimum mean squared error (MMSE) channel estimator for multiple-input multiple-output (MIMO) systems with one-bit quantization at the receiver side. Despite its optimality and significance in estimation theory,…

Information Theory · Computer Science 2025-01-23 Minhua Ding , Italo Atzeni , Antti Tölli , A. Lee Swindlehurst

Multiple-input multiple-output (MIMO) wireless systems conventionally use high-resolution analog-to-digital converters (ADCs) at the receiver side to faithfully digitize received signals prior to digital signal processing. However, the…

Information Theory · Computer Science 2025-04-29 Marian Temprana Alonso , Dongsheng Luo , Farhad Shirani

In this work, we propose a novel adaptive reduced-rank strategy based on joint interpolation, decimation and filtering (JIDF) for large multiuser multiple-input multiple-output (MIMO) systems. In this scheme, a reduced-rank framework is…

Information Theory · Computer Science 2013-03-18 Y. Cai , R. C. de Lamare

Future communication system requires large bandwidth to achieve high data rate up to multigigabit/ sec, which makes analog-to-digital (ADC) become a key bottleneck for the implementation of digital receivers due to its high complexity and…

Information Theory · Computer Science 2013-06-05 Zhiyong Wang , Huarui Yin , Wenyi Zhang , Guo Wei

To improve signal-to-interference ratio (SIR) and make better use of file diversity provided by random caching, we consider two types of linear receivers, i.e., maximal ratio combining (MRC) receiver and partial zero forcing (PZF) receiver,…

Information Theory · Computer Science 2018-01-10 Dongdong Jiang , Ying Cui

Communication systems with low-resolution analog-to-digital-converters (ADCs) can exploit channel state information at the transmitter (CSIT) and receiver. This paper presents initial results on codebook design and performance analysis for…

Information Theory · Computer Science 2015-12-22 Jianhua Mo , Robert W. Heath

In this paper, an analytical framework for evaluating the performance of scalable cell-free massive MIMO (SCF-mMIMO) systems in which all user equipments (UEs) and access points (APs) employ finite resolution digital-to-analog converters…

Information Theory · Computer Science 2021-09-16 Xiangjun Ma , Xianfu Lei , P. Takis Mathiopoulos , Kai Yu , Xiaohu Tang

Massive multiple-input multiple-output (M-MIMO) architecture is the workhorse of modern communication systems. Currently, two fundamental bottlenecks, namely, power consumption and receiver saturation, limit the full potential achievement…

Information Theory · Computer Science 2022-10-20 Ziang Liu , Ayush Bhandari , Bruno Clerckx

The low-resolution analog-to-digital convertor (ADC) is a promising solution to significantly reduce the power consumption of radio frequency circuits in massive multiple-input multiple-output (MIMO) systems. In this letter, we investigate…

Information Theory · Computer Science 2016-11-15 Jiayi Zhang , Linglong Dai , Shengyang Sun , Zhaocheng Wang

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

A potential tremendous spectrum resource makes millimeter wave (mmWave) communications a promising technology. High power consumption due to a large number of antennas and analog-to-digital converters (ADCs) for beamforming to overcome the…

Information Theory · Computer Science 2017-10-31 Junmo Sung , Jinseok Choi , Brian L. Evans
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