Introductions and Preliminaries

This chapter introduces the importance of spectrum sharing in wireless edge networks. With the rapid development of wireless communications, global mobile data traffic has explosively grown, resulting in the congestion in spectrum resources. Therefore, spectrum sharing has emerged as a key technique to address this issue. In this chapter, we introduce cognitive radio (CR) and artificial intelligence (AI) as two representative techniques for spectrum sharing. Particularly, we cover general reinforcement learning (RL), deep Q-network (DQN) and deep deterministic policy gradient (DDPG) as essential preliminaries for AI-enabled spectrum sharing. Eventually, the structure of the Brief is outlined.