Optimal Pricing Strategy for Wireless Social Community Networks
Wireless social community operators rely on subscribers who constitute a community of users. The pricing strategy of the provided wireless access is an open problem for this new generation of wireless access providers. In this paper, using both analytical and simulation approaches, the author studies the problem comprised of modeling user subscription and mobility behavior and of coverage evolution with the objective of finding optimal subscription fees. The paper computes optimal prices with both static and semi-dynamic pricing. Coping with an incomplete knowledge about users, the paper calculates the best static price and prove that optimal fair pricing is the optimal semidynamic pricing. Moreover, the paper has developed a simulator to verify optimal prices of social community operators with complete and incomplete knowledge.