Title :
Cloud transmission for dynamic cognitive radio communications
Author :
Meisong Zhu ; Guanghui Liu ; Yanyan Wang ; Liaoyuan Zeng ; Shuyuan Zhu
Author_Institution :
Sch. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
A novel adaptive Orthogonal Frequency-Division Multiplexing (OFDM) system based on cloud transmission (Cloud Txn) is proposed for dynamic cognitive radio (CR) communication. Cloud transmission is a spectrally-efficient and interference-immune way for broadcasting communication. In light of the Cloud-Txn technology, a secondary link is set up in this paper for supporting fast transmitter-receiver (Tx-Rx) interaction to improve the transmission efficiency of the dynamic CR network. In the secondary link, the CR system parameter information is precoded by Kasami sequences and then superimposed onto OFDM data, i.e., the primary link, in the frequency domain, which requires none of extra spectrum. The performance of the proposed system is theoretically analyzed and verified by computer simulations.
Keywords :
OFDM modulation; broadcast communication; cloud computing; cognitive radio; frequency-domain analysis; radio receivers; radio transmitters; CR system parameter information; Cloud Txn; Cloud-Txn technology; Kasami sequences; OFDM data; adaptive OFDM system; adaptive orthogonal frequency-division multiplexing system; broadcasting communication; cloud transmission; dynamic CR network; dynamic cognitive radio communication; fast Tx-Rx interaction; fast transmitter-receiver interaction; frequency domain; primary link; secondary link; transmission efficiency; Bit error rate; Demodulation; Interference; OFDM; Robustness; Signal to noise ratio; Cloud Transmission (Cloud-Txn); Dynamic cognitive Radio Network; Kasami sequences; OFDM; frequency domain;
Conference_Titel :
Broadband Multimedia Systems and Broadcasting (BMSB), 2015 IEEE International Symposium on
Conference_Location :
Ghent
DOI :
10.1109/BMSB.2015.7177220
