  This work is focused on the system-level performance of a broadcast network.
Since all transmitters in a broadcast network transmit the identical signal,
received signals from multiple transmitters can be combined to improve system
performance. We develop a stochastic geometry based analytical framework to
derive the coverage of a typical receiver. We show that there may exist an
optimal connectivity radius that maximizes the rate coverage. Our analysis
includes the fact that users may have their individual content/advertisement
preferences. We assume that there are multiple classes of users with each user
class prefers a particular type of content/advertisements and the users will
pay the network only when then can see content aligned with their interest. The
operator may choose to transmit multiple contents simultaneously to cater more
users' interests to increase its revenue. We present revenue models to study
the impact of the number of contents on the operator revenue. We consider two
scenarios for users' distribution: one where users' interest depends on their
geographical location and the one where it doesn't. With the help of numerical
results and analysis, we show the impact of various parameters including
content granularity, connectivity radius, and rate threshold and present
important design insights.
