Open AccessChannel Power Allocation Optimization Based on Water-filling Algorithm in 5G
Author(s) -
Wei Song,
Zige Zheng,
Chenjun Wu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1871/1/012082
Subject(s) - channel (broadcasting) , computer science , flexibility (engineering) , interference (communication) , limit (mathematics) , resource allocation , optimization algorithm , power (physics) , function (biology) , channel allocation schemes , transmitter power output , resource (disambiguation) , computer network , algorithm , mathematical optimization , telecommunications , mathematics , wireless , mathematical analysis , statistics , physics , quantum mechanics , evolutionary biology , biology , transmitter
Since entering the information age, the popularity of mobile communication has become higher and higher, and people’s requirements for communication quality are also increasing, but the channel resources that people can control are limited. This paper proposes an optimization algorithm for channel resource allocation based on water-filling algorithm. Some improvements have been made on the basis of the original water-filling algorithm. The sgn function is used to optimize the transmit interference temperature limit (Sk), so that the screening result is not completely dependent on Sk, which improves the flexibility of channel screening and effectively optimizes the capacity of the communication network.