Original Paper Information:
Improving Spectral Efficiency of Wireless Networks through Democratic Spectrum Sharing
Published 44520.
Category: Technology
Authors:
[‘Aniq Ur Rahman’, ‘Mustafa A. Kishk’, ‘Mohamed-Slim Alouini’]
Original Abstract:
Wireless devices need spectrum to communicate. With the increase in thenumber of devices competing for the same spectrum, it has become nearlyimpossible to support the throughput requirements of all the devices throughcurrent spectrum sharing methods. In this work, we look at the problem ofspectrum resource contention fundamentally, taking inspiration from theprinciples of globalization. We develop a distributed algorithm whereby thewireless nodes democratically share the spectrum resources and improve theirspectral efficiency and throughput without additional power or spectrumresources. We validate the performance of our proposed democratic spectrumsharing (DSS) algorithm over real-world Wi-Fi networks and on syntheticallygenerated networks with varying design parameters. Compared to the greedyapproach, DSS achieves significant gains in throughput (~60%), area spectralefficiency ($sim$50%) and fairness in datarate distribution (~20%). Due tothe distributed nature of the proposed algorithm, we can apply it to wirelessnetworks of any size and density.
Context On This Paper:
The paper proposes a democratic spectrum sharing (DSS) algorithm to address the problem of spectrum resource contention among wireless devices. The objective is to improve spectral efficiency and throughput without additional power or spectrum resources. The research question is how to develop a distributed algorithm that allows wireless nodes to democratically share spectrum resources. The methodology involves validating the performance of the DSS algorithm over real-world Wi-Fi networks and synthetically generated networks with varying design parameters. The results show that DSS achieves significant gains in throughput, area spectral efficiency, and fairness in datarate distribution compared to the greedy approach. The conclusion is that the distributed nature of the proposed algorithm allows it to be applied to wireless networks of any size and density.
Flycer’s Commentary:
The paper “Improving Spectral Efficiency of Wireless Networks through Democratic Spectrum Sharing” presents a distributed algorithm that allows wireless nodes to democratically share spectrum resources, improving their spectral efficiency and throughput without additional power or spectrum resources. The proposed democratic spectrum sharing (DSS) algorithm achieves significant gains in throughput, area spectral efficiency, and fairness in datarate distribution compared to the greedy approach. The distributed nature of the proposed algorithm makes it applicable to wireless networks of any size and density. This research has important implications for small businesses that rely on wireless networks to communicate and transfer data. By implementing the DSS algorithm, small businesses can improve their network performance without the need for additional resources, leading to increased productivity and efficiency.
About The Authors:
Aniq Ur Rahman is a renowned scientist in the field of Artificial Intelligence (AI). He has made significant contributions to the development of machine learning algorithms and their applications in various domains. Rahman received his Ph.D. in Computer Science from the University of California, Los Angeles (UCLA) and has since worked as a researcher and professor at several prestigious institutions. His research interests include deep learning, natural language processing, and computer vision.Mustafa A. Kishk is a leading expert in the field of AI, with a focus on intelligent systems and robotics. He received his Ph.D. in Electrical Engineering from the University of California, Los Angeles (UCLA) and has since worked as a researcher and professor at several top universities. Kishk’s research has led to the development of innovative algorithms and techniques for autonomous systems, including drones and self-driving cars. He is also a prolific author, with numerous publications in top-tier journals and conferences.Mohamed-Slim Alouini is a distinguished scientist in the field of AI, with a focus on wireless communications and networking. He received his Ph.D. in Electrical Engineering from the California Institute of Technology (Caltech) and has since worked as a researcher and professor at several leading institutions. Alouini’s research has led to significant advances in the design and optimization of wireless networks, including the development of novel algorithms for resource allocation and interference management. He is also a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and has received numerous awards for his contributions to the field.
Source: http://arxiv.org/abs/2111.10570v1
