What is a cognitive network?
A cognitive network is a network that uses cognitive processes to perceive current internal conditions, make decisions based on its results, and then learn from these decisions. A cognitive network differs from other intelligent communication technologies in that it has its own end-to-end goal in terms of data flow and is intended to go beyond self-modification.
A cognitive network implements parameters of different layers in the protocol stack. In this type of network, its protocol is further divided into common layer design and adaptive cross-layer design, which is why it can achieve more than an ordinary cross-layer design.
A cognitive network uses a network architecture called Embedded Wireless Interconnection (EWI). A cognitive network uses abstract wireless connections in which each link is created as desired and can be redefined as required.
Conventional networks operate with wireless connections using predetermined connections that act as virtual wired connections. There are certain requirements that must be met for a network to be cognitive. First, it should do extensive end-to-end work over a long period of time. Second, a cognitive network provides improved quality of service (QoS), secure communication, control over access, and other general network goals.