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Massive antenna arrays form physically large apertures with a beam-focusing capability, leading to outstanding wireless power transfer (WPT) efficiency paired with low radiation levels outside the focusing region. However, leveraging these…

信号处理 · 电气工程与系统科学 2026-04-28 Benjamin J. B. Deutschmann , Thomas Wilding , Maximilian Graber , Klaus Witrisal

Millimeter wave signals and large antenna arrays are considered enabling technologies for future 5G networks. Despite their benefits for achieving high data rate communications, their potential advantages for tracking of the location of the…

Based on the vision on the 6G wireless communication network, i.e., global coverage, all spectrums and all applications, we comprehensively survey 6G related wireless channel measurements, channel characteristics, and channel models for all…

信号处理 · 电气工程与系统科学 2020-07-29 Cheng-Xiang Wang , Jie Huang , Haiming Wang , Xiqi Gao , Xiaohu You , Yang Hao

Large-scale multiple-input multiple-output (MIMO) with high spectrum and energy efficiency is a very promising key technology for future 5G wireless communications. For large-scale MIMO systems, accurate channel state information (CSI)…

信息论 · 计算机科学 2015-11-30 Zhen Gao , Linglong Dai , Zhaocheng Wang

This thesis considers channel estimation and multiuser (MU) data transmission for massive MIMO systems with fully digital/hybrid structures in mmWave channels. It contains three main contributions. In this thesis, we first propose a…

信息论 · 计算机科学 2018-12-03 Lou Zhao

This paper studies the capacity of a general multiple-input multiple-output (MIMO) free-space optical intensity channel under a per-input-antenna peak-power constraint and a total average-power constraint over all input antennas. The focus…

信息论 · 计算机科学 2020-02-04 Longguang Li , Stefan M. Moser , Ligong Wang , Michèle Wigger

In the Fifth generation (5G) wireless communication systems, a majority of the traffic demands is contributed by various multimedia applications. To support the future 5G multimedia communication systems, the massive multiple-input…

信息论 · 计算机科学 2016-11-11 Xiaohu Ge , Haichao Wang , Ran Zi , Qiang Li , Qiang Ni

Millimeter-wave (mm-Wave) cellular systems are a promising option for a very high data rate communication because of the large bandwidth available at mm-Wave frequencies. Due to the large path-loss exponent in the mm-Wave range of the…

信息论 · 计算机科学 2015-11-06 Saeid Haghighatshoar , Giuseppe Caire

THz band is envisioned to be used in 6G systems to meet the ever-increasing demand for data rate. However, before an eventual system design and deployment can proceed, detailed channel sounding measurements are required to understand key…

A major source of difficulty when operating with large arrays at mmWave frequencies is to estimate the wideband channel, since the use of hybrid architectures acts as a compression stage for the received signal. Moreover, the channel has to…

信号处理 · 电气工程与系统科学 2019-05-13 Javier Rodriguez-Fernandez , Nuria Gonzalez-Prelcic , Takayuki Shimizu

Owning abundant bandwidth resources, the Terahertz (THz) band (0.1-10~THz) is envisioned as a key technology to realize ultra-high-speed communications in 6G and beyond wireless networks. To realize reliable THz communications in urban…

信息论 · 计算机科学 2024-08-29 Yuanbo Li , Yiqin Wang , Yejian Lyu , Ziming Yu , Chong Han

MmWave communications, one of the cornerstones of future 5G mobile networks, are characterized at the same time by a potential multi-gigabit capacity and by a very dynamic channel, sensitive to blockage, wide fluctuations in the received…

网络与互联网体系结构 · 计算机科学 2018-09-06 Michele Polese , Rittwik Jana , Michele Zorzi

Hybrid analog and digital precoding allows millimeter wave (mmWave) systems to achieve both array and multiplexing gain. The design of the hybrid precoders and combiners, though, is usually based on knowledge of the channel. Prior work on…

信息论 · 计算机科学 2016-11-15 Kiran Venugopal , Ahmed Alkhateeb , Nuria González Prelcic , Robert W. Heath

Reconfigurable intelligent surfaces (RISs) have attracted increasing interest from both academia and industry, thanks to their unique features on controlling electromagnetic (EM) waves. Although theoretical models for RIS-empowered…

信息论 · 计算机科学 2024-03-05 Jian Sang , Jifeng Lan , Mingyong Zhou , Boning Gao , Wankai Tang , Xiao Li , Michail Matthaiou , Shi Jin , Marco Di Renzo

Accurate channel modeling has become critical for evaluating multiple-input multiple-output (MIMO) performance, especially as 5G standardization matures and efforts toward 6G begin. Recent studies within the 3rd Generation Partnership…

Massive MIMO is bringing significant performance improvements in the context of outdoor macrocells, such as favourable propagation conditions, spatially confined communication, high antenna gains to overcome pathloss, and good angular…

信号处理 · 电气工程与系统科学 2020-03-26 Andrea P. Guevara , Sibren De Bast , Sofie Pollin

This paper is to design and optimize a non-orthogonal and noncoherent massive multiple-input multiple-output (MIMO) framework towards enabling scalable ultra-reliable low-latency communications (sURLLC) in wireless systems beyond 5G. In…

信号处理 · 电气工程与系统科学 2020-02-19 He Chen , Zheng Dong , Jian-Kang Zhang , Branka Vucetic

The frequency selectivity of wireless communication channels can be characterized by the delay spread Ds of the channel impulse response. If the delay spread is small compared to the bandwidth W of the input signal, that is, Ds*W…

信息论 · 计算机科学 2008-08-07 Georg Böcherer , Daniel Bielefeld

This paper addresses the problem of estimating sparse channels in massive MIMO-OFDM systems. Most wireless channels are sparse in nature with large delay spread. In addition, these channels as observed by multiple antennas in a neighborhood…

应用统计 · 统计学 2015-06-22 Mudassir Masood , Laila H. Afify , Tareq Y. Al-Naffouri

In this paper, we analyze the capacity of multiple-input multiple-output (MIMO) Rayleigh-fading channels in the presence of spatial fading correlation at both the transmitter and the receiver, assuming that the channel is unknown at the…

信息论 · 计算机科学 2016-11-18 Hyundong Shin , Moe Z. Win , Jae Hong Lee , Marco Chiani