Impact of Artificial Noise on Security Capability of Energy Harvesting Overlay Networks

Artificial noise, energy harvesting, and overlay communications can assure design metrics of modern wireless networks such as data security, energy efficiency, and spectrum utilization efficiency. This paper studies impact of artificial noise on security capability of energy harvesting overlay networks in which the cognitive transmitter capable of self-powering its operation by harvesting radio frequency energy and self-securing its communications against eavesdroppers by generating artificial noise amplifies and forwards the signal of the primary transmitter as well as transmits its individual signal concurrently. To quantify this impact, the current paper firstly suggests accurate expressions of crucial security performance indicators. Then, computer simulations are supplied to corroborate these expressions. Finally, numerous results are demonstrated to expose insights into this impact from which optimum specifications are determined. Notably, primary/cognitive communications can be secured at distinct degrees by flexibly controlling multiple specifications of the suggested system model.

China as a Neural-Information Megamatrix: Digital Technologies for Structuring Cognitive Ensembles of Order

In China, the strategy for the national information infrastructure development is implementing a large-scale and unparalleled project for developing artificial intelligence and its application to solving critical problems. Threats and risks of the current stage left no choice to China. The best Soviet and Russian developments of centralized planning and modeling are actively used, advanced American experience in applying neuroinformation technologies to influence society is being adopted. In fact, a neuroinformational mega-matrix is being formed, which will allow the Chinese authorities to keep the seething mass of people and organizations within a controlled circuit. Configuring cognitive communications in the socio-technical system “person — infocommunication environment — the state” allows to develop a social credit model for forming behavior vectors in large groups of the population with culling disloyal in behaviour (implemented now) and disloyal in thinking (soon to be implemented) human units of the China-community.

Towards Cognitive Communication and Other Applications of Cognitive Computing

The term cognitive communications has been used to describe “human-centric” communication systems that adapt to different behaviors, expectations and preferences. This paper explores a more general use of the term by attempting to enumerate all communication functions that might benefit through being executed by systems of individual or collective cognition. Systems of individual cognition might be represented by intelligent agents (based on some subset of the functionality suggested to be required for Artificial General Intelligence) with the capacity to change any property of communication. Communication functions executed by such systems optimize individual outcomes. Systems of collective cognition might be represented by collective intelligence solutions (based on some subset of functionality suggested to be required for General Collective Intelligence) with the capacity to enable such intelligent agents to self-assemble into communication networks using any combination of network topology, protocols, spectrum or other properties. Communication functions executed by such systems optimize collective outcomes. From this perspective, cognitive communication is explored as a specific case that might be generalized to apply to any number of other sectors, such as cognitive power generation and distribution, cognitive agriculture, cognitive healthcare, etc.