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Stochastic Geometry Based Resource Allocation Scheme Over Cellular Shotgun Systems
Faculty
Engineering
Year:
2024
Type of Publication:
ZU Hosted
Pages:
Authors:
Rania Ahmed Elsayed Ahmed Mansour Khalifa
Staff Zu Site
Abstract In Staff Site
Journal:
Indonesian Journal of Electrical Engineering and Computer Science Institute of Advanced Engineering and Science (IAES) in collaboration with Intelektual Pustaka Media Utama (IPMU)
Volume:
36
Keywords :
Stochastic Geometry Based Resource Allocation Scheme Over
Abstract:
This paper presents a resource allocation scheme that fulfills the maximum possible aggregate rate of the capacity region by targeting the corner points of the multiple-input multiple-output multiple access channel. This corner points of the channel’s capacity region are attainable whenever each user’s transmission has minimum possible interference among other users. This work aims to investigate the non-singularity of such situations by the exploitation of users’ geographic location seeking the opportunity of getting users’ transmission spatially multiplexed. The developed model demonstrates that similar results can be achieved with partial channel state information knowledge under certain conditions throughout the operational signal to noise ratio range. The proposed resource allocation scheme is designed for a shotgun cellular system with a random distribution of users over a circular coverage area. The proposed model uses stochastic geometry to prove that when number of users grows up within the coverage area, the probability of achieving the corner points sum rate increases rapidly. The developed model was evaluated, and the results show that for a circular coverage area with a radius of 10 km, the probability of having users whose transmissions can be spatially multiplexed with minimum interference increases as the number of users grows to 300 users.
Author Related Publications
Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Speech Compression Techniques based on Gaussian Mixture Model and Wavelet Analysis", Ain Shams University, Faculty of Engineering, 2009
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Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Hybrid Method based on Multi-Feature Descriptor for Static Sign Language Recognition", (Institute of Electrical and Electronics Engineers (IEEE, 2017
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Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Skin-based Adaptive Background Subtraction for Hand Gesture Segmentation", (Institute of Electrical and Electronics Engineers (IEEE, 2015
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Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Hand Gesture Recognition Based on Dimensionality Reduction of Histogram of Oriented Gradients", (Institute of Electrical and Electronics Engineers (IEEE, 2017
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Rania Ahmed Elsayed Ahmed Mansour Khalifa, "Performance Enhancement of Indoor Cellular Visible Light Communication through Cell Size and Wavelength Reuse Pattern", Springer Nature, 2023
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Department Related Publications
Mohammed Ayesh Muhammad Hanafi, "Compressed sensing for reliable body area propagation with efficient signal reconstruction", IEEE, 2018
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Saleh Ibrahiem Saied Saleh, "Rate Splitting Multiple Access Scheme for Cognitive Radio Network", The Egyptian International Journal of Engineering Sciences and Technology, 2021
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Saleh Ibrahiem Saied Saleh, "Performance Evaluation of 5G Modulation Techniques", Springer US, 2021
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Nabila Alsawy Elsayed Elsawy, "Mode Skipping for Screen Content Coding Based On Neural Network Classifier", Springer, 2021
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Nabila Alsawy Elsayed Elsawy, "Efficient Coding Unit Classifier for HEVC Screen Content Coding Based on Machine Learning", Springer, 2022
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