Markov Chain Based Models Comparison and Hybrid Model Design in IEEE 802.16E Scenario

The IEEE 802.16e is a promising technology that allows to provide wireless broadband services to a great number of mobile users. Considering this interesting scenario enriched by further presence of HAPs (High Altitude Platform) with the role of Base Stations (BSs), the authors have proposed a comparison between performances of a set of Markov Chain based models collected by literature. These following models: MTA (Markov-based Trace Analysis), Gilbert - Elliot, FSM (Full-State Markov) and HMM (Hidden Markov Model) are designed using packet error traces (a sequence of "1" and "0") obtained by a simulator that takes into account channel impairment effects such as path loss and Doppler effect.