Abstract
This paper proposes a non-linear distortion noise power control method with bandwidth control for multiple frequency band transmission which simultaneously uses plural frequency bands in wireless communication systems. The control method employs clipping and filtering, and generates out-of-band noise reduction signals using a part of used signal bands to reduce harmful interference in a primary existing system which shares frequency bands with the multi-band system. The improvement of Signalto- Noise Ratios (SNRs) in the bands used by the primary system is evaluated by computer simulations. The simulation results show that the proposed method at the band use rate of 50 % can improve them by 15 dB at the receiving power ratio of -30 dB to the spectrum sharing multi-band system.
Highlights
Future wireless communication systems require broader frequency bands to realize larger capacity because of the rapid spread of smartphone and the development of IoT (Internet of Things)
OFDM transmission, which is very effective in broadband transmission in multi-path fading channels, is widely used in wireless communication systems while it causes excessive peak power which generates in-band and out-of-band noise because of non-linear distortion of transmission power amplifiers
This paper proposes a non-linear distortion noise power control method with bandwidth control for multi-band OFDM transmission systems to reduce interference to the spectrum shared existing system in wireless communications
Summary
Future wireless communication systems require broader frequency bands to realize larger capacity because of the rapid spread of smartphone and the development of IoT (Internet of Things). This paper proposes a non-linear distortion noise power control method with bandwidth control for multi-band OFDM transmission systems to reduce interference to the spectrum shared existing system in wireless communications. The method uses clipping and filtering (CAF) for this noise control, which is one of the very effective peak power reduction methods of OFDM signals [8,9,10].
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More From: International Journal of Computer & Software Engineering
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