Capacity analysis of a cross layer downlink model in the presence of fading and interference

A semi-analytical framework for capacity analysis of a downlink channel in the presence of fading and interference from other users is presented. The users are selected for service based on the selection criteria such as RR, greedy and scheduling algorithm proposed in D. Arora and P. Agathoklis, 2005. The fading is modelled using a Nakagami model. The results obtained show that by explicitly taking into consideration for the selection of users served simultaneously both, the angular location of mobile users around the base station and the instantaneous SNR at the MAC layer, an improved system capacity is achieved. This improvement is due to the reduced interference that simultaneously served users cause on each other. The results show that jointly addressing the PHY and MAC layer issues in an integrated cross-layer framework is important for improving system performance