Throughput analysis of Ad-Hoc networks with directional antenna at 60 GHz

Alimadadi, Mohammadreza; Mohammadi, Abbas; Soltani, Mohammad

doi:10.1080/09205071.2013.862188

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…Through the derivations for the triangulation equation, the coordinate of the user's location can be found by Eq. (7).…”

Section: Conflicts Of Interestmentioning

confidence: 99%

“…Where random device location is an important factor that can affect the received SNR (signal to noise ratio) and as a result the throughput remarkably in the Li-Fi network [6,7]. The Li-Fi is a promising technology that is expected to be a part of the future 5th generation to fulfill its high data rate requirements and Li-Fi as a fully networked subset of OWCs (optical wireless communication) must be able to support seamless connectivity for mobile users.…”

Section: Introductionmentioning

confidence: 99%

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Indoor Positioning Systems Based on Li-Fi Technology Using RSS-Triangulation With Assisted by DNN

2022

IJIES

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Due to the rapid growth in mobile data traffic, academia and industry are considering Li-Fi (Light Fidelity) as an alternative to Wi-Fi (Wireless Fidelity). Li-Fi is a high-speed, two-way wireless network system that has several advantages over traditional radio frequency systems. To fully exploit the potential of Li-Fi systems, users must be provided with a seamless connection, which must be achieved by carefully studying user mobility. Nowadays, most wireless Li-Fi network applications focus their design on solving some unspecific user-location problems that may fully achieve some preferred results in the domain they serve. For example, locating an unknown user in an indoor environment is considered a kind of solution for maintaining the QoS (Quality of Service) and delivering the signal to the user without distraction. Where the main research problem lies in the signal interference, loss, and scattering in the Li-Fi network, it is a big problem because it reduces the network performance and coverage. Therefore, to solve this problem, this research investigates the locating of the mobile user within the Li-Fi equipped room to obtain the best possible coverage of the user's service. The aim of the research was divided into two stages. In the first stage, the method used in our work was presented by showing the triangulation method in simulating user location data (sensor simulation), the first stage was not affected by noise, as it serves as proof of the correctness of our work and depends in the second stage when it is under the influence the noise. In the second stage, the method of RSS -triangulation (Receiving Signal Strength -Triangulation) was adopted to simulate the user's location data (a simulation of the sensor) and under the influence of noise and implemented on a deep learning algorithm to determine the accuracy of the user's location and how to deal with noise. In the simulation results for the data in the first stage, our work was validated using the triangulation method in data simulation. The average error for the X-Axis was 2.17344 × 10 −14 cm; Y-Axis was 6.44762 × 10 −14 cm and Z-Axis 4.65690 × 10 −11 cm the results obtained from the triangulation simulation were close to the real results. In the second stage, when adopting the RSS-Triangulation method under effect the noise, the average error was achieved on the X-axis 2.05612 × 10 −3 cm, Y-Axis was 4.56249 × 10 −3 cm, and Z-Axis 5.10474 × 10 −3 cm where The DNN (Deep Neural Network) showed how to deal with noise, the highest error was obtained on the X-axis 2.51535 cm, the Y-axis 2.25903 cm, and the Z-axis 4.22898 cm for an indoor environment of 5m x 5m x 3m

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“…Through the derivations for the triangulation equation, the coordinate of the user's location can be found by Eq. (7).…”

Section: Conflicts Of Interestmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Indoor Positioning Systems Based on Li-Fi Technology Using RSS-Triangulation With Assisted by DNN

2022

IJIES

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“…The effect of the antenna directionality to 60 GHz channel capacity is studied in [5]. The throughput of wireless mobile ad hoc networks with directional antennas at 60 GHz unlicensed band is investigated in [6]. The capacity analysis of 60 GHz wireless communications based on PSK modulation is given in [7,8].…”

Section: Introductionmentioning

confidence: 99%

Capacity of 60 GHz Wireless Communications Based on QAM

Wang¹,

Li²,

Shi³

et al. 2014

Journal of Applied Mathematics

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With apparent advantages of the several GHz license-free spectrums, 10 W maximum transmit power, and so forth, 60 GHz wireless communication technology has become the first choice for Gbps level short-range wireless communications. This paper researches 60 GHz wireless communications over the additive white Gaussian noise channel. Channel capacity with quadrature amplitude modulation (QAM) is investigated for the unlicensed 59–64 GHz radio spectrum set aside by FCC. Moreover, the capacity with QAM is compared to that with phase shift keying (PSK). It is shown that QAM is capable of providing Gbps data rate and outperforms PSK especially when the modulation order is large. The results prove that QAM is an attractive scheme for 60 GHz wireless communications.

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Throughput analysis in a millimeter-wave network for a hybrid unsaturated RCAP/CTAP MAC protocol

Parsa

Motamedi

2021

Computer Networks

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Throughput analysis of Ad-Hoc networks with directional antenna at 60 GHz

Cited by 4 publications

References 12 publications

Indoor Positioning Systems Based on Li-Fi Technology Using RSS-Triangulation With Assisted by DNN

Indoor Positioning Systems Based on Li-Fi Technology Using RSS-Triangulation With Assisted by DNN

Capacity of 60 GHz Wireless Communications Based on QAM

Throughput analysis in a millimeter-wave network for a hybrid unsaturated RCAP/CTAP MAC protocol

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