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相关论文: Stochastic Geometric Coverage Analysis in mmWave C…

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Millimeter-wave (mmWave) bands have been attracting growing attention as a possible candidate for next-generation cellular networks, since the available spectrum is orders of magnitude larger than in current cellular allocations. To…

网络与互联网体系结构 · 计算机科学 2018-05-14 Mattia Rebato , Jihong Park , Petar Popovski , Elisabeth De Carvalho , Michele Zorzi

This paper presents a tutorial on stochastic geometry (SG) based analysis for cellular networks. This tutorial is distinguished by its depth with respect to wireless communication details and its focus on cellular networks. The paper starts…

信息论 · 计算机科学 2016-11-15 Hesham ElSawy , Ahmed Sultan-Salem , Mohamed-Slim Alouini , Moe Z. Win

This tutorial is intended as an accessible but rigorous first reference for someone interested in learning how to model and analyze cellular network performance using stochastic geometry. In particular, we focus on computing the…

信息论 · 计算机科学 2016-10-06 Jeffrey G. Andrews , Abhishek K. Gupta , Harpreet S. Dhillon

Communications using frequency bands in the millimeter-wave range can play a key role in future generations of mobile networks. By allowing large bandwidth allocations, high carrier frequencies will provide high data rates to support the…

网络与互联网体系结构 · 计算机科学 2017-05-08 Cristian Tatino , Ilaria Malanchini , Danish Aziz , Di Yuan

It is expected that 5G/6G networks will exploit sub-6 GHz, millimetre wave (mmWave) and terahertz (THz) frequency bands simultaneously and will increase flexibility in user equipment (UE)-cell association. In this paper, we introduce a…

信息论 · 计算机科学 2024-09-13 Yunbai Wang , Chen Chen , Xiaoli Chu

With the severe spectrum shortage in conventional cellular bands, millimeter-wave (mmWave) frequencies have been attracting growing attention for next-generation micro- and picocellular wireless networks. A fundamental and open question is…

网络与互联网体系结构 · 计算机科学 2016-04-20 Mattia Rebato , Marco Mezzavilla , Sundeep Rangan , Federico Boccardi , Michele Zorzi

Millimeter wave (mmWave) holds promise as a carrier frequency for fifth generation cellular networks. Because mmWave signals are sensitive to blockage, prior models for cellular networks operated in the ultra high frequency (UHF) band do…

信息论 · 计算机科学 2014-10-21 Tianyang Bai , Robert W. Heath

Linear receivers offer a low complexity option for multi-antenna communication systems. Therefore, understanding the outage behavior of the corresponding SINR is important in a fading mobile environment. In this paper we introduce a large…

信息论 · 计算机科学 2012-09-17 Aris L. Moustakas , Pavlos Kazakopoulos

With the overcrowded sub-6 GHz bands, millimeter wave (mmWave) bands offer a promising alternative for the next generation wireless standard, i.e., 5G. However, the susceptibility of mmWave signals to severe pathloss and shadowing requires…

信号处理 · 电气工程与系统科学 2017-10-13 Solmaz Niknam , Balasubramaniam Natarajan , Reza Barazideh

This paper proposes a stochastic geometry framework to analyze the SINR and rate performance in a large-scale uplink massive MIMO network. Based on the model, expressions are derived for spatial average SINR distributions over user and base…

信息论 · 计算机科学 2016-04-05 Tianyang Bai , Robert W. Heath

This paper develops a stochastic geometry-based approach for the modeling and analysis of finite millimeter wave (mmWave) wireless networks where a random number of transmitters and receivers are randomly located inside a finite region. We…

Millimeter wave (mm-wave) communications is considered a promising technology for 5G networks. Exploiting beamforming gains with large-scale antenna arrays to combat the increased path loss at mm-wave bands is one of its defining features.…

信息论 · 计算机科学 2017-04-21 Xianghao Yu , Jun Zhang , Martin Haenggi , Khaled B. Letaief

The millimeter wave (mmWave) frequencies are likely to play a significant role in fifth-generation (5G) cellular systems. A key challenge in developing systems in these bands is the potential for rapid channel dynamics: since mmWave signals…

网络与互联网体系结构 · 计算机科学 2016-04-20 Marco Giordani , Marco Mezzavilla , Aditya Dhananjay , Sundeep Rangan , Michele Zorzi

Beam management is central in the operation of dense 5G cellular networks. Focusing the energy radiated to mobile terminals (MTs) by increasing the number of beams per cell increases signal power and decreases interference, and has hence…

In this paper, we utilize tools from stochastic geometry to estimate the interference propagation via reconfigurable intelligent surface (RIS) in the millimeter wave (mmWave, 30-300 GHz) band and specifically on the D band (110-170 GHz).…

信息论 · 计算机科学 2021-07-15 Joonas Kokkoniemi , Markku Juntti

Statistical characterization of the signal-to-interference-plus-noise ratio (SINR) via its cumulative distribution function (CDF) is ubiquitous in a vast majority of technical contributions in the area of cellular networks since it boils…

信息论 · 计算机科学 2017-06-05 Imène Trigui , Sofiène Affes , Ben Liang

We provide a comprehensive overview of mathematical models and analytical techniques for millimeter wave (mmWave) cellular systems. The two fundamental physical differences from conventional Sub-6GHz cellular systems are (i) vulnerability…

Large antenna arrays and millimeter-wave (mmWave) frequencies have been attracting growing attention as possible candidates to meet the high requirements of future 5G mobile networks. In view of the large path loss attenuation in these…

网络与互联网体系结构 · 计算机科学 2018-02-06 Mattia Rebato , Laura Resteghini , Christian Mazzucco , Michele Zorzi

In this paper, a new mathematical framework to the analysis of millimeter wave cellular networks is introduced. Its peculiarity lies in considering realistic path-loss and blockage models, which are derived from experimental data recently…

信息论 · 计算机科学 2016-11-17 Marco Di Renzo

Beam management is central in the operation of beamformed wireless cellular systems such as 5G New Radio (NR) networks. Focusing the energy radiated to mobile terminals (MTs) by increasing the number of beams per cell increases signal power…

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