, and also QoS guarantees. Service Delivery Platforms only scopes of perception, but also ones of analyzing and decision making in order to meet the requirements of self-awareness, self-organization, and autonomy. 6.3.2.2.2 Definition of Cognitive Networks There are no clear and unified definitions for Cognitive Networks. In accordance with scopes of Cognitive Networks analyzed above, further understanding and common meaning of Cognitive Networks are introduced in this section by investi- gating Cognitive Radio Networks and Cognitive Packet Networks as references. The concept of Cognitive Radio Networks was proposed by Joseph Mitola III and Gerald Q. Maguire, Jr in 1999 [49]. It aims to collect and accumulate informa- tion through self-learning to be adaptive to changes in work environment and then make corresponding decisions or take actions. Specifically, approaches of spectrum shifting and sharing are applied to use spectrum resources more efficiently and also balance the resources distributions. Compared to Cognitive Radio Networks, Cognitive Packet Networks [52] takes advantages of adaptive technologies to assign the best routing strategies according to user-defined QoS criterions and principles. The abilities of routing adjudging and decision making basically rely on the foundations of capabilities of self-awareness and self-learning. From what has been discussed above, it can be concluded that self-awareness, self-learning, and adaptive capabilities are their significant common grounds; in other words, that is to say that these characteristics are also common grounds for cognitive functions. Based on these cognitive functions and functioning scopes, the definition of Cognitive Networks can be further introduced and discussed as follows. Reference [53] defines Cognitive Networks as a kind of network including a process of cognition. Basically, Cognitive Networks can collect and be self-aware of information in certain environment, and automatically adapt to its changes by planning, decision making, and adjus