Modeling dynamic channel allocation algorithms in multi-BS TDD wireless networks with Internet based traffic

Extensive measurements of wireless Internet traffic from a campus wide IEEE 802.11 b network are used to create binomial and dynamic traffic models. We then develop a two-base-station, two-zone wireless time-division-duplex interference model which describes the spatial features of interference between co-channel MS in adjacent BS. We present a set of candidate TDD channel allocation algorithms which vary in their level of timeslot coordination and intelligent allocation between BS. Lastly, we combine the Internet traffic models, TDD interference models and channel allocation algorithms to demonstrate the capacity for evaluating dynamic channel allocation algorithms in realistic interference and wireless Internet traffic scenarios. The theoretical analysis and simulation results show that the fixed allocation algorithms perform poorly, particularly with dynamic traffic and that the intelligent BS coordination algorithm performs best overall.