Throughput analysis and rate adaptation for infestation system

Infestations serve a demand for multimedia services with high quality and h igh data rate. The challenge for Infestation system design is how to downlo ad as many information bits when a mobile user drives through an Infostatio n cell. A variable rate TDMA/TDD radio architecture is: chosen for study an d experimental implementation because of its flexibility in a multiuser env ironment. A symbol rate and rate compatible punctured convolutional code co ntrolled adaptive transmission scheme is proposed for the Infestation radio design. Data throughput is analyzed for a mobile user passing through an I nfestation cell. The analysis indicates that three data rates at 0.25, 1.0 and 2.0 Mbps achieve greater than 85% of the theoretical throughput while s implifying the implementation. The punctured convolutional code: is studied to maximize the Infestation throughput. A recommendation is made to use ra te 1/2 coding scheme. An efficient rate adaptation algorithm is proposed an d it can track tile Rayleigh fading channel well and the capacity loss is n egligible in various conditions.