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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

Hybrid analog/digital precoding in millimeter-wave (mmWave) multi-input multi-ouput (MIMO) systems is capable of achieving the near-optimal full-digital performance at reduced hardware cost and power consumption compared to its full-RF…

Information Theory · Computer Science 2020-11-26 Chenghao Feng , Wenqian Shen , Xinyu Gao , Jianping An , Lajos Hanzo

In this paper, we investigate the design of linear precoders for the multiple-input multiple-output (MIMO) multiple access channel (MAC). We assume that statistical channel state information (CSI) is available at the transmitters and…

Information Theory · Computer Science 2016-11-15 Yongpeng Wu , Chao-Kai Wen , Chengshan Xiao , Xiqi Gao , Robert Schober

Massive multiuser (MU) multiple-input multiple-output (MIMO) is foreseen to be one of the key technologies in fifth-generation wireless communication systems. In this paper, we investigate the problem of downlink precoding for a narrowband…

Information Theory · Computer Science 2017-06-30 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Tom Goldstein , Christoph Studer

Achieving high channel estimation accuracy and reducing hardware cost as well as power dissipation constitute substantial challenges in the design of massive multiple-input multiple-output (MIMO) systems. To resolve these difficulties,…

Information Theory · Computer Science 2022-01-03 Yalin Wang , Xihan Chen , Yunlong Cai , Benoit Champagne , Lajos Hanzo

Efficient implementation of massive multiple-input-multiple-output (MIMO) transceivers is essential for the next-generation wireless networks. To reduce the high computational complexity of the massive MIMO transceiver, in this paper, we…

Information Theory · Computer Science 2024-11-15 Yiming Fang , Li Chen , Yunfei Chen , Huarui Yin

We consider the downlink of a cell-free massive multiple-input multiple-output (MIMO) network where numerous distributed access points (APs) serve a smaller number of users under time division duplex operation. An important issue in…

Information Theory · Computer Science 2017-04-12 L. D. Nguyen , T. Q. Duong , H. Q. Ngo , K. Tourki

In this paper, we investigate the design of linear precoders for multiple-input multiple-output (MIMO) multiple access channels (MAC). We assume that statistical channel state information (CSI) is available at the transmitters and consider…

Information Theory · Computer Science 2014-01-22 Yongpeng Wu , Chao-Kai Wen , Chengshan Xiao , Xiqi Gao , Robert Schober

Massive MIMO systems are typically designed assuming linear power amplifiers (PAs). However, PAs are most energy efficient close to saturation, where non-linear distortion arises. For conventional precoders, this distortion can coherently…

Information Theory · Computer Science 2023-12-11 Thomas Feys , Liesbet Van der Perre , François Rottenberg

Analog computing has been recently revived due to its potential for energy-efficient and highly parallel computations. In this two-part paper, we explore analog computers that linearly process microwave signals, named microwave linear…

Information Theory · Computer Science 2025-12-04 Matteo Nerini , Bruno Clerckx

In order to reduce hardware complexity and power consumption, massive multiple-input multiple-output (MIMO) systems employ low-resolution analog-to-digital converters (ADCs) to acquire quantized measurements $\boldsymbol y$. This poses new…

Information Theory · Computer Science 2021-02-12 Shuai Huang , Deqiang Qiu , Trac D. Tran

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

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

Conventional hybrid analog-digital architectures for millimeter-wave massive multiple-input multiple-output (MIMO) systems suffer from poor scalability and high implementational costs. The former is caused by the high power loss in the…

Information Theory · Computer Science 2019-12-03 Ali Bereyhi , Vahid Jamali , Ralf R. Müller , Georg Fischer , Robert Schober , Antonia M. Tulino

Large-scale multi-user multiple-input multiple-output (MU-MIMO) systems and cloud radio access networks (C-RANs) are considered promising technologies for the fifth generation (5G) of wireless networks. In these technologies, the use of…

Information Theory · Computer Science 2020-12-08 T. Cunha , R. C. de Lamare , T. N. Ferreira , L. T. N. Landau

The next generation of wireless communications systems will employ new frequency bands such as those in the upper midband, millimeter-wave and sub-terahertz frequency bands. The high energy consumption of analog-to-digital converters…

Information Theory · Computer Science 2025-05-27 D. Melo , L. Landau , R. de Lamare

Future wireless systems, known as gigantic multiple-input multiple-output (MIMO), are expected to enhance performance by significantly increasing the number of antennas, e.g., a few thousands. To enable gigantic MIMO overcoming the…

Information Theory · Computer Science 2025-06-09 Matteo Nerini , Bruno Clerckx

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

Hybrid analog-digital precoding significantly reduces the hardware costs in massive MIMO transceivers when compared to fully-digital precoding at the expense of increased transmit power. In order to mitigate the above shortfall, we use the…

Signal Processing · Electrical Eng. & Systems 2019-07-24 Ganapati Hegde , Christos Masouros , Marius Pesavento

Hybrid beamforming is key to achieving energy-efficient 5G wireless networks equipped with massive amount of antennas. Low-resolution data converters bring yet another degree of freedom to energy efficiency for the state-of-the-art 5G…

Signal Processing · Electrical Eng. & Systems 2019-09-19 Sung Joon Maeng , Yavuz Yapıcı , Ismail Guvenc , Huaiyu Dai , Arupjyoti Bhuyan