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Enhancing the energy efficiency of dense Wi-Fi networks using cloud technologies. (English. Russian original) Zbl 07294351
Autom. Remote Control 81, No. 1, 94-106 (2020); translation from Avtom. Telemekh. 2020, No. 1, 117-133 (2020).
Summary: In the modern world, the Wi-Fi technology is undoubtedly one of the leaders in the field of wireless communications. Increasing density of devices in Wi-Fi networks and increasing number of the networks themselves have led to high interference and, as a result, to a decrease in the performance of Wi-Fi networks. One effective solution to reduce interference in dense deployment scenarios is the use of cloud-based management systems. In this work, we present an algorithm for centralized Wi-Fi network management for such a cloud-based system. The algorithm aims to maximize energy efficiency by solving an optimization problem with constraints where it is necessary to maximize the difference between two monotonic functions. Validation and evaluation of the effectiveness of the developed algorithm has been carried out in the NS-3 simulation environment.
MSC:
94A05 Communication theory
94A40 Channel models (including quantum) in information and communication theory
Software:
ns-3
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