Quantum chemistry reaction optimization multi-relay selection method of cognitive relay network

Abstract

The invention provides a quantum chemistry reaction optimization multi-relay selection method of a cognitive relay network. The method comprises steps of: 1, establishing a cognitive system relay selection model; 2, initializing a quantum molecule set and a system parameter; 3, evaluating the potential energy of all quantum molecules in the set and selecting the measurement state of the quantum molecule with the lowest potential energy as a global optimal solution; 4, arranging the kinetic energy of quantum molecules in a descending order, and performing decomposition reaction, invalid collision, and synthetic reaction; 5, evaluating the potential energy of newly generated quantum molecules, and if the minimum potential energy of the newly generated quantum molecules is less than the minimum potential energy of the previous generation, marking the newly generated quantum molecules as a new global optimal solution; and 6, if the number of iteration times is less than a preset maximum number of iteration times, returning to step 4, otherwise, outputting the global optimal solution. The method balances the primary user constraint condition and non-primary user constraint condition of the cognitive relay network, and chooses a relay selection scheme that maximizes the system throughput based on a quantum chemistry reaction mechanism.

Description

technical field [0001] The invention relates to a cognitive relay selection method. Background technique [0002] Cognitive Radio (Cognitive Radio) network can adjust its own parameters through changes in the environment, and has a strong self-adaptive ability. By reusing idle licensed frequency bands, the utilization rate of wireless spectrum has been improved, and it has become a solution to wireless An important approach to the problem of scarcity of spectrum resources provides a great development space for the current wireless communication system. In cognitive relay networks, there are often multiple candidate relay nodes. Affected by geographical location and channel fading, the ability of each relay to improve the transmission quality of the cognitive user (Secondary User, SU) and the interference caused to the primary user (Primary User, PU) are different. Therefore, how to choose a suitable relay Assisting the transfer of cognitive users is one of the key issues i...

AI Technical Summary

Problems solved by technology

The "Multi-Relay Selection Method for Cognitive Relay Network" published in "Journal of Electronics and Information Technology" by Yang Long et al. defines the efficiency of relay cooperation based on the first-order partial derivative characteristics of the signal-to-noise ratio of the destination node during multi-relay cooperation. , an iterative relay selection scheme based on cooperative efficiency is proposed, the complexity is low, but the system throughput is also low, and the situation of no master user constraint is not considered

The "Low Complexity Multiple Relay Selection Scheme for Cognitive Relay Networks" published by Moonchang Choi et al. at the "IEEE Vehicular Technology Conference" proposed a simple multi-relay selection method, that is, according to channel information, more power is allocated to the main The relay with less user interference is selected according to the power allocation scheme, and the situation of no master user constraint is not considered

Images