  In this letter, we investigate the anti-jamming defense problem in multi-user
scenarios, where the coordination among users is taken into consideration. The
Markov game framework is employed to model and analyze the anti-jamming defense
problem, and a collaborative multi-agent anti-jamming algorithm (CMAA) is
proposed to obtain the optimal anti-jamming strategy. In sweep jamming
scenarios, on the one hand, the proposed CMAA can tackle the external malicious
jamming. On the other hand, it can effectively cope with the mutual
interference among users. Simulation results show that the proposed CMAA is
superior to both sensing based method and independent Q-learning method, and
has the highest normalized rate.
