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Synchronization is a fundamental procedure in cellular systems whereby an UE acquires the time and frequency information required to decode the data transmitted by a BS. Due to the necessity of using large antenna arrays to obtain the…

Signal Processing · Electrical Eng. & Systems 2020-05-05 Javier Rodriguez-Fernandez

Large antenna arrays will be needed in future millimeter wave (mmWave) cellular networks, enabling a large number of different possible antenna architectures and multiple-input multiple-output (MIMO) techniques. It is still unclear which…

Information Theory · Computer Science 2016-11-15 Mandar N. Kulkarni , Amitava Ghosh , Jeffrey G. Andrews

In broadband millimeter-wave (mm-Wave) systems, it is desirable to design hybrid beamformers with common analog beamformer for the entire band while employing different baseband beamformers in different frequency sub-bands. Furthermore, the…

Signal Processing · Electrical Eng. & Systems 2019-11-01 Ahmet M. Elbir , Kumar Vijay Mishra

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

Employing low-resolution analog-to-digital converters (ADCs) for millimeter wave receivers with large antenna arrays provides opportunity to efficiently reduce power consumption of the receiver. Reducing ADC resolution, however, results in…

Information Theory · Computer Science 2020-05-12 Jinseok Choi , Gilwon Lee , Ahmed Alkhateeb , Alan Gatherer , Naofal Al-Dhahir , Brian L. Evans

Resistive random-access memory (RRAM) provides an excellent platform for analog matrix computing (AMC), enabling both matrix-vector multiplication (MVM) and the solution of matrix equations through open-loop and closed-loop circuit…

Signal Processing · Electrical Eng. & Systems 2025-12-05 Pushen Zuo , Zhong Sun

This paper considers the channel estimation problem for massive multiple-input multiple-output (MIMO) systems that use one-bit analog-to-digital converters (ADCs). Previous channel estimation techniques for massive MIMO using one-bit ADCs…

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

In this paper, we propose and evaluate two novel double-sequence low-resolution frequency synchronization methods in millimeter-wave (mmWave) systems. In our system model, the base station uses analog beams to send the synchronization…

Signal Processing · Electrical Eng. & Systems 2018-12-11 Dalin Zhu , Ralf Bendlin , Salam Akoum , Arunabha Ghosh , Robert W. Heath

The use of low-precision analog-to-digital converters (ADCs) is a low-cost and power-efficient solution for a millimeter wave (mmWave) multiple-input multiple-output (MIMO) system operating at sampling rates higher than a few Gsample/sec.…

Information Theory · Computer Science 2018-11-30 Yo-Seb Jeon , Heedong Do , Song-Nam Hong , Namyoon Lee

In this paper, we propose a two-stage analog combining architecture for millimeter wave (mmWave) communications with hybrid analog/digital beamforming and low-resolution analog-to-digital converters (ADCs). We first derive a two-stage…

Information Theory · Computer Science 2018-12-04 Jinseok Choi , Gilwon Lee , Brian L. Evans

High power consumption and expensive hardware are two bottlenecks for practical massive multiple-input multiple-output (mMIMO) systems. One promising solution is to employ low-resolution analog-to-digital converters (ADCs) and…

Information Theory · Computer Science 2018-09-11 Jiayi Zhang , Linglong Dai , Ziyan He , Bo Ai , Octavia A. Dobre

High hardware cost and high power consumption of massive multiple-input and multiple output (MIMO) are two challenges for the future wireless communications including beyond fifth generation (B5G) and sixth generation (6G). Adopting the…

Information Theory · Computer Science 2022-01-19 Baihua Shi , Lingling Zhu , Wenlong Cai , Nuo Chen , Tong Shen , Pengcheng Zhu , Feng Shu , Jiangzhou Wang

One key feature of massive multiple-input multiple-output systems is the large number of antennas and users. As a result, reducing the computational complexity of beamforming design becomes imperative. To this end, the goal of this paper is…

Information Theory · Computer Science 2019-02-08 Shuai Wang , Lei Cheng , Minghua Xia , Yik-Chung Wu

Orthogonal signal-division multiplexing (OSDM) is an attractive alternative to conventional orthogonal frequency-division multiplexing (OFDM) due to its enhanced ability in peak-to-average power ratio (PAPR) reduction. Combining OSDM with…

Signal Processing · Electrical Eng. & Systems 2019-06-27 Jing Han , Shengqian Ma , Yujie Wang , Geert Leus

In this paper, we propose a coordinated pilot design method to minimize the channel estimation mean squared error (MSE) in 1-bit analog-to-digital converters (ADCs) massive multiple-input multiple-output (MIMO). Under the assumption that…

Signal Processing · Electrical Eng. & Systems 2025-11-14 Hyeongtak Yun , Juntaek Han , Kaiming Shen , Jeonghun Park

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

Massive MIMO is a variant of multiuser MIMO, where the number of antennas $M$ at the base-station is large, and generally much larger than the number of spatially multiplexed data streams to/from the users. It has been observed that in many…

Information Theory · Computer Science 2017-07-25 Saeid Haghighatshoar , Giuseppe Caire

Multiple-input multiple-output (MIMO) systems are well suited for millimeter-wave (mmWave) wireless communications where large antenna arrays can be integrated in small form factors due to tiny wavelengths, thereby providing high array…

Information Theory · Computer Science 2017-04-03 Shu Sun , Theodore S. Rappaport

The premise of massive multiple-input multiple-output (MIMO) is based around coherent transmission and detection. Majority of the vast literature on massive MIMO presents performance evaluations over simplified statistical propagation…

Information Theory · Computer Science 2020-03-04 Harsh Tataria , Fredrik Tufvesson

Future multi-input multi-output (MIMO) wireless communications systems will use beamforming as a first-step towards realizing the capacity requirements necessitated by the exponential increase in data demands. The focus of this work is on…

Information Theory · Computer Science 2017-07-27 Dennis Ogbe , David J. Love , Vasanthan Raghavan