Study of rain attenuation effects for 5G Mm‐wave cellular communication in tropical location

Nandi, Dalia; Maitra, Animesh

doi:10.1049/iet-map.2017.1029

Cited by 26 publications

(10 citation statements)

References 9 publications

(17 reference statements)

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“…The atmospheric oxygen absorption is especially severe at 60 GHz and 120 GHz, and the water vapor absorption is particularly very high at 180 GHz [31]. Also, rain attenuation at mmWave frequencies is much greater than that of sub-6 GHz frequencies [32].…”

Section: A Propagation Characteristicsmentioning

confidence: 98%

Channel Estimation Techniques for Millimeter-Wave Communication Systems: Achievements and Challenges

Hassan

Masarra

Zwingelstein

et al. 2020

IEEE Open J. Commun. Soc.

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The fifth-generation (5G) of cellular networks and beyond requires massive connectivity, high data rates, and low latency. Millimeter-wave (mmWave) communications is a key 5G enabling technology to meet these requirements thanks to its technical potentials that can be integrated with other 5G enablers such as ultra-dense networks (UDNs) and massive multiple-input-multiple-output (massive MIMO) systems. However, some technical challenges, which are mainly related to specific characteristics of mmWave propagation, must be addressed. All the aforementioned points will be discussed in this paper before presenting the different existing architectures of massive MIMO mmWave systems. This survey mainly aims at presenting a comprehensive state-of-the-art review of the channel estimation techniques associated with the different mmWave system architectures. Subsequently, we will provide a comparison among existing solutions in terms of their respective benefits and shortcomings. Finally, some open directions of research are discussed, and challenges that wait to be met are pointed out.

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Section: A Propagation Characteristicsmentioning

confidence: 98%

Channel Estimation Techniques for Millimeter-Wave Communication Systems: Achievements and Challenges

Hassan

Masarra

Zwingelstein

et al. 2020

IEEE Open J. Commun. Soc.

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“…Tropical location received more rain due to heavy rainfall and caused rain attenuation. Therefore, paper in [71] conducted simulation on to test the channel model for rain attenuation in tropical location specifically in Kalkota and Spina d'Adda for 28 GHz and 28 GHz frequencies by using time series of rain rate prediction as shown in [72]. Method in [72] separated all rain rate data into three segments; constant (C), down (D) and up (U).…”

Section: Rainmentioning

confidence: 99%

Propagation challenges in 5G millimeter wave implementation

Nordin

Mansor

Ramli

et al. 2019

IJEECS

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With current technology advances, implementing millimeter wave in real life have become more promising. However, before millimeter wave can be deployed, there are several challenges in terms of technical, path loss and shadowing. This paper provides a review on the challenges that might occurs when implementing millimeter wave. An overview of LTE-Advanced and millimeter wave is made to provide further understanding. A critical analysis is made to identify the problem in rain and haze attenuation, if addressed, will help mobile service provider to overcome the problem.

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“…Besides, mmWave provides highcapacity and line-of-sight (LoS) dominated connectivity for UAVs, it also suffers from many challenges, such as rapid channel variation, blockage effects, atmospheric attenuations, range limits etc. [8], [9], leading to substantial interference problems especially in multi-cell scenarios. The recent studies have even reported nearly 150 UAV crashes occurred due to loss of communication with ground base stations [10].…”

Section: Introductionmentioning

confidence: 99%

Learning-Based Trajectory Optimization for 5G mmWave Uplink UAVs

Susarla

Deng

Destino

et al. 2020

2020 IEEE International Conference on Communications Workshops (ICC Workshops)

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A Connectivity-constrained based path planning for unmanned aerial vehicles (UAVs) is proposed within the coverage area of a 5G NR Base Station (BS) that uses mmWave technology. We consider an uplink communication between UAV and BS under multipath channel conditions for this problem. The objective is to guide a UAV, starting from a random location and reaching its destination within the BS coverage area, by learning a trajectory alongside achieving better connectivity. We propose simultaneous learning-based path planning of UAV and beam tracking at the BS side under urban macro-cellular (UMa) pathloss conditions, to reduce its sweeping time with apriori computational overhead using the deep reinforcement learning method such as Deep Q-Network (DQN). Our results show that our proposed learning-based joint path planning and beam tracking method is on par with the learning-based shortest path planning, besides beam tracking comparable to heuristic exhaustive beam searching method.

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Study of rain attenuation effects for 5G Mm‐wave cellular communication in tropical location

Cited by 26 publications

References 9 publications

Channel Estimation Techniques for Millimeter-Wave Communication Systems: Achievements and Challenges

Channel Estimation Techniques for Millimeter-Wave Communication Systems: Achievements and Challenges

Propagation challenges in 5G millimeter wave implementation

Learning-Based Trajectory Optimization for 5G mmWave Uplink UAVs

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