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Large antenna arrays can be used to generate highly focused beams that support very high data rates and reduced energy consumption. However, optimal beam focusing requires large amount of feedback from the users in order to choose the best…

信息论 · 计算机科学 2015-10-06 Abdoulaye Tall , Zwi Altman , Eitan Altman

Beamforming is the key enabler for wireless communications in the mmWave bands. 802.11ad and WiGig are wireless technologies that currently use the 60 GHz unlicensed mmWave spectrum via beamforming techniques. It is likely that 5G systems…

信号处理 · 电气工程与系统科学 2019-06-12 Saidhiraj Amuru

Holographic Metasurface Transceivers (HMTs) are emerging as cost-effective substitutes to large antenna arrays for beamforming in Millimeter and TeraHertz wave communication. However, to achieve desired channel gains through beamforming in…

信号处理 · 电气工程与系统科学 2024-01-12 Debamita Ghosh , Manjesh Kumar Hanawal , Nikola Zlatanova

Artificial intelligence advances have recently influenced wireless communications, including beam management in fifth-generation (5G) new radio systems. AI-driven models and algorithms are being applied to enhance tasks such as beam…

信号处理 · 电气工程与系统科学 2025-05-27 Dino Pjanić , Guoda Tian , Andres Reial , Xuesong Cai , Bo Bernhardsson , Fredrik Tufvesson

Accurate beam alignment is essential for beam-based millimeter wave communications. Conventional beam sweeping solutions often have large overhead, which is unacceptable for mobile applications like vehicle-to-everything. Learning-based…

信息论 · 计算机科学 2024-10-30 Vutha Va , Takayuki Shimizu , Gaurav Bansal , Robert W. Heath

Beamforming technique realized by the multiple-input-multiple-output (MIMO) antenna arrays has been widely used to compensate for the severe path loss in the millimeter wave (mmWave) bands. In 5G NR system, the beam sweeping and beam…

信号处理 · 电气工程与系统科学 2022-09-07 Yongjun Ahn , Jinhong Kim , Seungnyun Kim , Kyuhong Shim , Jiyoung Kim , Sangtae Kim , Byonghyo Shim

Beamforming is a signal processing technique where an array of antenna elements can be steered to transmit and receive radio signals in a specific direction. The usage of millimeter wave (mmWave) frequencies and multiple input multiple…

We study the initial beam acquisition problem in millimeter wave (mm-wave) networks from the perspective of best arm identification in multi-armed bandits (MABs). For the stationary environment, we propose a novel algorithm called…

信息论 · 计算机科学 2024-01-18 Gourab Ghatak

Since the spectrum below 6 GHz bands is insufficient to meet the high bandwidth requirements of 5G use cases, 5G networks expand their operation to mmWave bands. However, operation at these bands has to cope with a high penetration loss and…

网络与互联网体系结构 · 计算机科学 2024-09-02 Lotte Weedage , Clara Stegehuis , Suzan Bayhan

Advancements in 6G wireless technology have elevated the importance of beamforming, especially for attaining ultra-high data rates via millimeter-wave (mmWave) frequency deployment. Although promising, mmWave bands require substantial beam…

网络与互联网体系结构 · 计算机科学 2024-07-31 Avi Deb Raha , Kitae Kim , Apurba Adhikary , Mrityunjoy Gain , Zhu Han , Choong Seon Hong

Millimeter-wave (mmWave) hybrid analog-digital beamforming is a promising approach to satisfy the low-latency constraint in multiple unmanned aerial vehicles (UAVs) systems, which serve as network infrastructure for flexible deployment.…

Most research in the area of machine learning-based user beam selection considers a structure where the model proposes appropriate user beams. However, this design requires a specific model for each user-device beam codebook, where a model…

信号处理 · 电气工程与系统科学 2022-11-23 Sajad Rezaie , João Morais , Ahmed Alkhateeb , Carles Navarro Manchón

In this paper, we investigate the problem of beam alignment in millimeter wave (mmWave) systems, and design an optimal algorithm to reduce the overhead. Specifically, due to directional communications, the transmitter and receiver beams…

信息论 · 计算机科学 2017-12-29 Morteza Hashemi , Ashutosh Sabharwal , C. Emre Koksal , Ness B. Shroff

The ever-increasing demand for intelligent, automated, and connected mobility solutions pushes for the development of an innovative sixth Generation (6G) of cellular networks. A radical transformation on the physical layer of vehicular…

A fundamental problem for waveform-agile radar systems is that the true environment is unknown, and transmission policies which perform well for a particular tracking instance may be sub-optimal for another. Additionally, there is a limited…

信息论 · 计算机科学 2021-10-25 Charles E. Thornton , R. Michael Buehrer , Anthony F. Martone

Beam codebooks are a new feature of massive multiple-input multiple-output (M-MIMO) in 5G new radio (NR). Codebooks comprised of beamforming vectors are used to transmit reference signals and obtain limited channel state information (CSI)…

信号处理 · 电气工程与系统科学 2022-04-14 Ryan M. Dreifuerst , Robert W. Heath , Ali Yazdan

Beamforming (BF) is essential for enhancing system capacity in fifth generation (5G) and beyond wireless networks, yet exhaustive beam training in ultra-massive multiple-input multiple-output (MIMO) systems incurs substantial overhead. To…

信号处理 · 电气工程与系统科学 2026-02-11 Yanliang Jin , Yunfan Li , Jiang Jun , Yuan Gao , Shengli Liu , Jianbo Du , Zhaohui Yang , Shugong Xu

Millimeter wave (mmWave) and massive MIMO systems are intrinsic components of 5G and beyond. These systems rely on using beamforming codebooks for both initial access and data transmission. Current beam codebooks, however, generally consist…

信号处理 · 电气工程与系统科学 2020-06-26 Muhammad Alrabeiah , Yu Zhang , Ahmed Alkhateeb

We consider the problem of active and sequential beam tracking at mmWave frequencies and above. We focus on the dynamic scenario of a UAV to UAV communications where we formulate the problem to be equivalent to tracking an optimal…

信号处理 · 电气工程与系统科学 2021-06-22 Nancy Ronquillo , Tara Javidi

Beamforming with large-scale antenna arrays has been widely used in recent years, which is acknowledged as an important part in 5G and incoming 6G. Thus, various techniques are leveraged to improve its performance, e.g., deep learning,…

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