Performance analysis for coexistence of LTE-LAA and Wi-Fi systems in the spatial, time, spectrum domain

Huynh, Chuyen Khoa; Yun, Doo-Hee; Choi, Joo Pyoung; Lee, Won Cheol

doi:10.1016/j.icte.2018.04.002

Cited by 5 publications

(3 citation statements)

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“…The focus in studies [8] is the LTE-LAA and Wi-Fi networks coexistence in 5GHz using traffic optimization and analysis of interference which are used selection channel schemes. By implement Monte Carlo method analysis tool, named "3DMCAT", the LBT protocol was implemented as a simulation domain in both the frequency domains and time on frame-based spatial, time, spectrum domain equipment.…”

Section: Related Workmentioning

confidence: 99%

Performance Evaluation of Changing Energy Detection Threshold on Wi-Fi and LTE-LAA Coexistence Networks

Azita Laily Yusof,

Nur Haidah Mohd Hanapiah,

Norsuzila Ya’acob

2023

ARASET

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The demand on cellular and Wi-Fi infrastructure has increased exponentially along with the number of mobile devices in use today, thus requiring that both licensed (cellular) and unlicensed (Wi-Fi) spectrum be utilized as efficiently as possible. Licensed-Assisted Access (LAA) based unlicensed spectrum LTE service is seen as an alternative to improve the capability of 4G/5G wireless networks. This approach helps eNodeB to compete with other nodes by using the shared medium and using both licensed and unlicensed bands via carrier aggregation to provide best-effort services. Nevertheless, in order to minimise or prevent performance degradation issues, the hidden node issue over shared medium access networks is a challenge that must be tackled. The performance evaluation of an energy detector is described in this study, which takes into account the energy detection technique for spectrum sensing. The main objective of this research is to develop an energy detection sensing for LTE-LAA and Wi-Fi coexistence networks. The study will proceed with identifying the parameters used such as signal to noise ratio (SNR), energy detection threshold and energy detection probability for energy detection threshold following by derivation of mathematical equation for energy detection threshold. Next, the development of analytical framework for threshold of energy detection in Wi-Fi and LTE-LAA coexistence networks will be developed using MATLAB software. According to our findings, the detection probability will be higher if the detection threshold is dynamically adjusted based on the noise level present during the detection process than it would be if a fixed threshold value were taken into account. The results that obtained from energy detection threshold can achieve fair coexistence between LTE-LAA users and Wi-Fi users and thus, successfully reduces the interference in both coexistence networks.

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Section: Related Workmentioning

confidence: 99%

Performance Evaluation of Changing Energy Detection Threshold on Wi-Fi and LTE-LAA Coexistence Networks

Azita Laily Yusof,

Nur Haidah Mohd Hanapiah,

Norsuzila Ya’acob

2023

ARASET

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“…FBE channel access has received less interest from researchers than LBE. Most existing papers evaluate FBE performance in long term evolution (LTE) license-assisted access (LAA) networks, the predecessor of NR-U, and typically in LTE LAA and Wi-Fi coexistence scenarios [19][20][21][22][23]. Both Sutton et al [24] and Abdelfattah et al [25] evaluate the limits of FBE with Markov chains and conclude that the strict duty cycle scheme of FBE causes domination by the competing (Wi-Fi) devices.…”

Section: Literature Reviewmentioning

confidence: 99%

Channel Access in Wireless Smart Grid Networks Operating under ETSI Frame-Based Equipment Rules

Karcz,

Szott

2023

Energies

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Smart grid operators seeking to extend their wireless network capacity can use unlicensed bands. However, devices in these shared bands must follow rules such as Listen Before Talk (LBT), standardized by ETSI. In this paper, we focus on the performance of the frame-based equipment (FBE) version of LBT channel access. We design, implement, and validate a fully functional FBE channel access simulator. Next, we conduct an extensive performance analysis of the FBE variants encountered in the literature, focusing on channel efficiency and fairness in upper-bound and coexistence scenarios. Our study leads to several conclusions about the operation of FBE-based devices, including the need for proper configuration of channel access parameters to ensure fairness and optimal performance. We also observe generally poor coexistence among FBE variants: the highest Jain’s fairness index was only 0.88, with an average normalized channel efficiency of 0.76. Therefore, we identify several open research areas in the field, such as the need for further development of parameter adaptation algorithms, the deployment of an external controller to update channel access parameters, and new FBE designs with better coexistence qualities.

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“…Due to availability of various signal processing tools, there is a possibility for someone to download audio files from the Internet, manipulate it, and then to sell it without permission of the legitimate owner(s). This phenomenon will further increase with the development of wireless technology [1]- [3]. Therefore, it is necessary to safeguard ownership of rightful owner(s) of the digital media.…”

Section: Introductionmentioning

confidence: 99%

A Mean Quantization Watermarking Scheme for Audio Signals Using Singular-Value Decomposition

Das

Lee

2019

IEEE Access

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Recently, research in audio watermarking technology makes it a promising tool for copyright protection of digital audio files in networked environments. In this paper, we propose a new mean quantization based watermarking mechanism for audio based on the technique due to Singular Value Decomposition (SVD). In this method, the host signal is divided into a number of two-dimensional matrix frames. The SVD is then employed to every frame, and also the Euclidean norm of the Singular Values (SVs) are calculated for every frame. The watermark is then hidden into an audio signal by quantization of the norm of the SVs. The watermark is extracted blindly using the inverse process. Both the subjective and objective tests demonstrate good imperceptibility of the watermark in the audio file. Furthermore, the experimental results show good robustness of the proposed scheme against various common audio attacks and Stirmark benchmark attacks. The false-negative error of the method is very near to zero against Stirmark and audio attacks. The proposed scheme has a high payload, and its performance is superior compared to other related watermarking methods for audio signals. Finally, the proposed method achieves better trade-offs between conflicting requirements of imperceptibility, payload, and robustness.INDEX TERMS Mean quantization, singular value decomposition, audio watermarking, security.

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Performance analysis for coexistence of LTE-LAA and Wi-Fi systems in the spatial, time, spectrum domain

Cited by 5 publications

References 1 publication

Performance Evaluation of Changing Energy Detection Threshold on Wi-Fi and LTE-LAA Coexistence Networks

Performance Evaluation of Changing Energy Detection Threshold on Wi-Fi and LTE-LAA Coexistence Networks

Channel Access in Wireless Smart Grid Networks Operating under ETSI Frame-Based Equipment Rules

A Mean Quantization Watermarking Scheme for Audio Signals Using Singular-Value Decomposition

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