Evaluating QoS Performance in Multi-User High Speed Wireless Networks with Adaptive Spectrum Allocation
Ravindra Kumar, Rakesh Kumar Yadav, Rajesh Pandian, Vinithra Banu. T, Ganesh C. Shelke, S Maheswaran
Abstract
The technical information of the paper attention at the improvement and assessment of an advanced adaptive spectrum allocation (ASA) algorithm for multi-consumer high pace wireless networks. The algorithm makes use of an efficient time-domain slot allocation mechanism to exploit the traits of modern-day Wi-Fi MAC protocols. The aim of the algorithm is to improve the first-class of provider (Qu's) overall performance in multi-consumer surroundings by coordinating the scheduler and the radio get entry to community (RAN). Three predominant overall performance metrics are used to assess the overall performance of the proposed ASA set of rules. The primary is a person consumer's spectral efficiency which measures the overall throughput of the system as a characteristic of the quantity of customers. The second is an aggregated throughput that looks at the overall ability of the network and the way it is dispensed among the customers. The ultimate metric measures the delay skilled by means of the customers whilst having access to the community. The paper also addresses issues associated with channel sensing, admission manage, and premier scheduling of the Wi-Fi hyperlinks. The simulation outcomes display that the proposed algorithm plays higher than other options just like the round robin and FIFO schemes.