Computational Modeling of Transmission Capacity With Outage Constraints in Ad-Hoc Networks

This paper proposes a transmission capacity model with an overlaid regime that models the cognitive radio technology. We study a case of two coexisting wireless networks (the primary (PR) network and the secondary (SR) network) operating in the same geographical region and sharing the same spectrum and define the transmission capacity as a product of three signal propagation parameters: the density of transmission, the transmission rate and successful transmission probability ) 1 ( y probabilit outage − . The PR network has a higher priority to access the spectrum, regardless of the SR network, while the SR network limits its interference on the PR network by carefully controlling the density of its transmitters. Using the C++ programming toolkit, we simulate the transmission capacity for both networks and study their tradeoffs in the presence of two propagation constraints: the outage probability and transmission density. Simulation results show that the proposed model minimizes mutual interference by significantly increasing the network spectrum efficiency per unit area as well as the transmission capacity.