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Due to the low per-antenna SNR and high signaling overhead, channel estimation is a major bottleneck in Massive MIMO systems. Spatial constraints can improve estimation performance by exploiting sparsity. Solutions exist for far field -…

Information Theory · Computer Science 2017-12-21 Arkady Molev-Shteiman , Laurence Mailaender , Xiao-Feng Qi

We propose a novel algorithm to estimate the channel covariance matrix of a desired user in multiuser massive MIMO systems. The algorithm uses only knowledge of the array response and rough knowledge of the angular support of the incoming…

Signal Processing · Electrical Eng. & Systems 2020-06-15 Renato Luis Garrido Cavalcante , Slawomir Stanczak

In this paper, we study the problem of extremely large (XL) multiple-input multiple-output (MIMO) channel estimation in the terahertz (THz) frequency band, considering the presence of propagation delays across the entire array apertures at…

Information Theory · Computer Science 2024-07-09 Evangelos Vlachos , Aryan Kaushik , Yonina C. Eldar , George C. Alexandropoulos

This letter proposes decision-directed semi-blind channel estimation for massive multiple-input multiple-output low-Earth-orbit satellite communications. Two semi-blind estimators are proposed. The first utilizes detected data symbols in…

Signal Processing · Electrical Eng. & Systems 2024-11-22 Abdollah Masoud Darya , Saeed Abdallah

Compared to the current wireless communication systems, millimeter wave (mm-Wave) promises a wide range of spectrum. As viable alternatives to existing mm-Wave channel models, various map-based channel models with different modeling methods…

Information Theory · Computer Science 2019-07-11 Yeon-Geun Lim , Yae Jee Cho , MinSoo Sim , Younsun Kim , Chan-Byoung Chae , Reinaldo A. Valenzuela

This paper considers the problem of pilot design for compressive multiple-input multiple-output (MIMO) channel estimation. In particular, we are interested in estimating the channels for multiple transmitters simultaneously when the pilot…

Information Theory · Computer Science 2013-11-05 Peng Zhang , Lu Gan , Sumei Sun , Cong Ling

Channel estimation for massive multiple-input multiple-output (MIMO) systems is fundamentally constrained by excessive pilot overhead and high estimation latency. To overcome these obstacles, recent studies have leveraged deep generative…

Information Theory · Computer Science 2025-10-28 Ziqi Diao , Xingyu Zhou , Le Liang , Shi Jin

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

High resolution compressive channel estimation provides information for vehicle localization when a hybrid mmWave MIMO system is considered. Complexity and memory requirements can, however, become a bottleneck when high accuracy…

Signal Processing · Electrical Eng. & Systems 2022-04-05 Yun Chen , Joan Palacios , Nuria González-Prelcic , Takayuki Shimizu , Hongsheng Lu

This paper proposes a novel joint channel estimation and beamforming approach for multicell wideband massive multiple input multiple output (MIMO) systems. With the proposed channel estimation and beamforming approach, we determine the…

Information Theory · Computer Science 2017-08-15 Tadilo Endeshaw Bogale , Long Bao Le , Xianbin Wang , Luc Vandendorpe

The millimeter-wave (mmWave) communication technology, which employs large-scale antenna arrays, enables inherent sensing capabilities. Simultaneous localization and mapping (SLAM) can utilize channel multipath angle estimates to realize…

Information Theory · Computer Science 2023-07-18 Hang Que , Jie Yang , Chao-Kai Wen , Shuqiang Xia , Xiao Li , Shi Jin

We propose a new antenna selection scheme for a massive MIMO system with a single user terminal and a base station with a large number of antennas. We consider a practical scenario where there is a realistic correlation among the antennas…

Information Theory · Computer Science 2015-07-09 De Mi , Mehrdad Dianati , Sami Muhaidat , Yan Chen

This paper proposes an adaptive multi-mode transmission strategy to improve the spectral efficiency achieved in the multiple-input multiple-output (MIMO) broadcast channel with delayed and quantized channel state information. The adaptive…

Information Theory · Computer Science 2016-11-17 Jun Zhang , Marios Kountouris , Jeffrey G. Andrews , Robert W. Heath

In the beyond fifth-generation (B5G) and upcoming sixth-generation (6G) wireless communication systems, millimeter (mmWave) wave technology is a promising solution for offering additional bandwidth resources and mitigating spectrum…

Signal Processing · Electrical Eng. & Systems 2025-10-10 Jiawei Zhang , Shihan Wang , Jienan Chen , Fan Wu , Jiyun Tao , Zheqi Gu

Millimeter-wave massive MIMO with lens antenna array can considerably reduce the number of required radio-frequency (RF) chains by beam selection. However, beam selection requires the base station to acquire the accurate information of…

Information Theory · Computer Science 2017-08-28 Xinyu Gao , Linglong Dai , Shuangfeng Han , Chih-Lin I , Xiaodong Wang

Data transmission over the mmWave in fifth-generation wireless networks aims to support very high speed wireless communications. A substantial increase in spectrum efficiency for mmWave transmission can be achieved by using advanced hybrid…

Signal Processing · Electrical Eng. & Systems 2020-03-27 Wei Zhang , Taejoon Kim , Shu-Hung Leung

Channel estimation for hybrid Multiple Input Multiple Output (MIMO) systems at Millimeter-Waves (mmW)/sub-THz is a fundamental, despite challenging, prerequisite for an efficient design of hybrid MIMO precoding/combining. Most works propose…

Information Theory · Computer Science 2021-05-24 Marouan Mizmizi , Dario Tagliaferri , Damiano Badini , Christian Mazzucco , Umberto Spagnolini

Accurate channel parameter estimation is challenging for wideband millimeter-wave (mmWave) large-scale hybrid arrays, due to beam squint and much fewer radio frequency (RF) chains than antennas. This paper presents a novel joint delay and…

Information Theory · Computer Science 2021-02-23 Zhipeng Lin , Tiejun Lv , Wei Ni , J. Andrew Zhang , Jie Zeng , Ren Ping Liu

This paper considers channel estimation and system performance for the uplink of a single-cell massive multiple-input multiple-output (MIMO) system. Each receive antenna of the base station (BS) is assumed to be equipped with a pair of…

Information Theory · Computer Science 2017-08-02 Yongzhi Li , Cheng Tao , Gonzalo Seco-Granados , Amine Mezghani , A. Lee Swindlehurst , Liu Liu

Hybrid analog and digital beamforming transceivers are instrumental in addressing the challenge of expensive hardware and high training overheads in the next generation millimeter-wave (mm-Wave) massive MIMO (multiple-input multiple-output)…

Signal Processing · Electrical Eng. & Systems 2022-01-04 Ahmet M. Elbir , Kumar Vijay Mishra , M. R. Bhavani Shankar , Björn Ottersten