Effect of traffic conditions on scheduling algorithms in a cross-layer downlink model

A semi analytical model is presented to assess the impact of traffic conditions on the performance of scheduling algorithms within a queuing framework. Three different scheduling algorithms are considered and their performance for two different traffic conditions is compared. These two traffic conditions correspond to the cases of light traffic for few users and heavier traffic for a larger number of users, respectively. Results indicate that in the case of heavier traffic, the SNR and angular separation based scheduling algorithm has a better performance than some of the other standard scheduling algorithms while for light traffic the difference in the performance is not significant.