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In this paper, we investigate the beam training problem in the multi-user millimeter wave (mmWave) communication system, where multiple reconfigurable intelligent surfaces (RISs) are deployed to improve the coverage and the achievable rate.…

Information Theory · Computer Science 2024-04-10 Yuan Xu , Chongwen Huang , Li Wei , Zhaohui Yang , Xiaoming Chen , Zhaoyang Zhang , Chau Yuen , Mérouane Debbah

In integrated ground-air-space (IGAS) wireless networks, numerous services require sensing knowledge including location, angle, distance information, etc., which usually can be acquired during the beam training stage. On the other hand,…

Information Theory · Computer Science 2024-07-11 Yuan Xu , Chongwen Huang , Wei Li , Zhaohui Yang , Ahmed Al Hammadi , Jun Yang , Zhaoyang Zhang , Chau Yuen , Mérouane Debbah

In this paper, we study efficient multi-beam training design for near-field communications to reduce the beam training overhead of conventional single-beam training methods. In particular, the array-division based multi-beam training…

Signal Processing · Electrical Eng. & Systems 2024-06-24 Cong Zhou , Changsheng You , Zixuan Huang , Shuo Shi , Yi Gong , Chan-Byoung Chae , Kaibin Huang

Huge overhead of beam training imposes a significant challenge in millimeter-wave (mmWave) wireless communications. To address this issue, in this paper, we propose a wide beam based training approach to calibrate the narrow beam direction…

Signal Processing · Electrical Eng. & Systems 2021-07-21 Ke Ma , Dongxuan He , Hancun Sun , Zhaocheng Wang , Sheng Chen

In this paper, we propose an efficient beam training technique for millimeter-wave (mmWave) communications. When some mobile users are under high mobility, the beam training should be performed frequently to ensure the accurate acquisition…

Information Theory · Computer Science 2018-10-09 Sun Hong Lim , Jisu Bae , Sunwoo Kim , Byonghyo Shim , Jun Won Choi

In millimeter wave communications, beam training is an effective way to achieve beam alignment. Traditional beam training method allocates training resources equally to each beam in the pre-designed beam training codebook. The performance…

Information Theory · Computer Science 2018-10-25 Zihan Tang , Jun Wang , Jintao Wang , Jian Song

This paper investigates beam training for extremely large-scale multiple-input multiple-output systems. By considering both the near field and far field, a triple-refined hybrid-field beam training scheme is proposed, where high-accuracy…

Information Theory · Computer Science 2024-01-23 Kangjian Chen , Chenhao Qi , Octavia A. Dobre , Geoffrey Ye Li

For extremely large-scale arrays (XL-arrays), the discrete Fourier transform (DFT) codebook, conventionally used in the far-field, has recently been employed for near-field beam training. However, most existing methods rely on the…

Signal Processing · Electrical Eng. & Systems 2026-03-27 Jiapeng Li , Changsheng You , Guoliang Cheng , Haobin Sun , Chao Zhou , Linglong Dai

Fast and precise beam alignment is crucial for high-quality data transmission in millimeter-wave (mmWave) communication systems, where large-scale antenna arrays are utilized to overcome the severe propagation loss. To tackle the…

Signal Processing · Electrical Eng. & Systems 2023-08-24 Junyi Yang , Weifeng Zhu , Meixia Tao , Shu Sun

Beam alignment (BA) is to ensure the transmitter and receiver beams are accurately aligned to establish a reliable communication link in millimeter-wave (mmwave) systems. Existing BA methods search the entire beam space to identify the…

Signal Processing · Electrical Eng. & Systems 2019-09-10 Wen Wu , Nan Cheng , Ning Zhang , Peng Yang , Weihua Zhuang , Xuemin , Shen

This paper investigates beam training techniques for near-field (NF) extremely large-scale antenna arrays (ELAAs). Existing NF beam training methods predominantly rely on beam focusing, where the base station (BS) transmits highly spatially…

Information Theory · Computer Science 2025-09-22 Ran Li , Ziyi Xu , Ying-Jun Angela Zhang

Reconfigurable holographic surfaces (RHSs) have been suggested as an energy-efficient solution for extremely large-scale arrays. By controlling the amplitude of RHS elements, high-gain directional holographic patterns can be achieved.…

Signal Processing · Electrical Eng. & Systems 2026-02-04 Shupei Zhang , Boya Di , Aryan Kaushik , Yonina C. Eldar

Extremely large-scale MIMO (XL-MIMO) is a promising technique for future 6G communications. The sharp increase in the number of antennas causes electromagnetic propagation to change from far-field to near-field. Due to the near-field…

Information Theory · Computer Science 2023-05-25 Yu Lu , Zijian Zhang , Linglong Dai

In extremely large-scale multiple input multiple output (XL-MIMO) systems for future sixth-generation (6G) communications, codebook-based beam training stands out as a promising technology to acquire channel state information (CSI). Despite…

Information Theory · Computer Science 2024-03-07 Tianyue Zheng , Jieao Zhu , Qiumo Yu , Yongli Yan , Linglong Dai

High-speed trains (HSTs) are being widely deployed around the world. To meet the high-rate data transmission requirements on HSTs, millimeter wave (mmWave) HST communications have drawn increasingly attentions. To realize sufficient link…

Information Theory · Computer Science 2018-10-16 Jun-Bo Wang , Ming Cheng , Jin-Yuan Wang , Min Lin , Yongpeng Wu , Huiling Zhu , Jiangzhou Wang

In this letter, we study efficient near-field beam training design for the extremely large-scale array (XL-array) communication systems. Compared with the conventional far-field beam training method that searches for the best beam direction…

Information Theory · Computer Science 2022-09-30 Yunpu Zhang , Xun Wu , Changsheng You

In this paper, beam training and beam tracking are investigated for extremely large-scale multiple-input-multiple-output communication systems with partially-connected hybrid combining structures. Firstly, we propose a two-stage…

Information Theory · Computer Science 2023-11-28 Kangjian Chen , Chenhao Qi , Cheng-Xiang Wang , Geoffrey Ye Li

Extremely large-scale massive multiple-input-multiple-output (XL-MIMO) is regarded as a promising technology for next-generation communication systems. In order to enhance the beamforming gains, codebook-based beam training is widely…

Information Theory · Computer Science 2022-09-29 Wang Liu , Hong Ren , Cunhua Pan , Jiangzhou Wang

Enabling highly-mobile millimeter wave (mmWave) and terahertz (THz) wireless communication applications requires overcoming the critical challenges associated with the large antenna arrays deployed at these systems. In particular, adjusting…

Signal Processing · Electrical Eng. & Systems 2021-11-16 Gouranga Charan , Tawfik Osman , Andrew Hredzak , Ngwe Thawdar , Ahmed Alkhateeb

In future 6G communication systems, large-scale antenna arrays promise enhanced signal strength and spatial resolution, but they also increase the complexity of beam training. Moreover, as antenna counts grow and carrier wavelengths shrink,…

Information Theory · Computer Science 2025-09-22 Ran Li , Ziyi Xu , Ying-Jun Angela Zhang
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