Agility Improvement in Cognitive Radio under Bluetooth Paradigm Using Ant Colony Metaphor

Agility Improvement in Cognitive Radio under Bluetooth Paradigm Using Ant Colony Metaphor

Ashraf Darwish (Helwan University, Egypt)
DOI: 10.4018/978-1-4666-0321-9.ch020
OnDemand PDF Download:
List Price: $37.50


Cognitive radio is a paradigm for wireless communication in which either network or wireless node itself changes particular transmission or reception parameters to execute its tasks efficiently. This parameter alteration is based on observations of several factors from external and internal cognitive radio environment, such as radio frequency spectrum, user behavior, and network state. The chapter presents the relationship between cognitive radio and ant colony. The bio-inspired cognitive radio algorithm is presented.
Chapter Preview

2. Background

Tautologically, a cognitive radio could be defined as “A radio that is cognitive,” or paraphrasing Descartes, “Cogitat, ergo estcognitive radio.” In the absence of a Turing test for radios, applying this definition is nontrivial and implies a level of functionality that many researchers consider excessive. Indeed, while many researchers and public officials agree that upgrading a software radio’s control processes will add significant value to software radio, there is currently some disagreement over how much “cognition”is needed which results in disagreement over the precise definition of a cognitive radio. The following section provides some of the more prominently offered definitions of cognitive radio.

In the 1999 research paper that first coined the term “cognitive radio”, Joseph Mitola III defines a cognitive radio as (J. Mitola, 1999):A radio that employs model based reasoning to achieve a specified level of competence in radio-related domains.”

However, in his recent popularly cited chapter that surveyed the state of cognitive radio, Simon Haykin defines a cognitive radio as (S. Haykin, 2005):An intelligent wireless communication system that is aware of its surrounding environment (i.e., outside world), and uses the methodology of understanding-by-building to learn from the environment and adapt its internal states to statistical variations in the incoming RF stimuli by making corresponding changes in certain operating parameters (e.g., transmit-power, carrier frequency, and modulation strategy) in real-time, with two primary objectives in mind:

  • Highly reliable communications whenever and wherever needed;

  • Efficient utilization of the radio spectrum.

Coming from a background where regulations focus on the operation of transmitters, the

FCC has defined a cognitive radio as a radio that can change its transmitter parameters based on interaction with the environment in which it operates.

Complete Chapter List

Search this Book: