Differential Evolution in Wireless Communications: A Review

Self-Adaptive Differential Evolution Algorithms for Wireless Communications and the Antenna and Microwave Design Problems

Several evolutionary algorithms (EAs) have emerged in the past decade that mimic biological entities behavior and evolution. Darwin’s theory of evolution is the major inspiration source for EAs. The foundation of Darwin’s theory of evolution is natural selection. The study of evolutionary algorithms began in the 1960s. Several researchers independently developed three mainstream evolutionary al...

Review of terahertz and subterahertz wireless communications

Differential Evolution (DE): A Short Review

Differential Evolution (DE), proposed by Storn and Price [1,2] is a stochastic population-based search method. It exhibits excellent capability in solving a wide range of optimization problems with different characteristics from several fields and many real-world application problems [3]. Similar to all other Evolutionary algorithms (EAs), the evolutionary process of DE uses mutations, crossove...

Wireless Optical Communications Through the Turbulent Atmosphere: A Review

In the past decades a renewed interest has been seen around optical wireless communications, commonly known as free-space optics (FSO), because of the ever growing demand for high-data-rate data transmission as to a large extent current applications, such as the high-definition (HD) contents and cloud computing, require great amount of data to be transmitted, hence, demanding more transmission ...

Finite-state differential coding for wireless communications with multipath channels

Differential coding allows signal demodulation without carrier phase estimation, and thus is commonly used to cope with phase ambiguity and residual carriers. In a wireless scenario where the system transfer function is FIR due to multipath reflections, channel estimation and equalization is usually required. Inspired by the recent work by Tong [1] on blind sequence estimation, we propose a vec...