Pla University of Science and Technology

Jinlong Wang

Qihui Wu

Yang Yang

Yuming Zhang

The invention relates to a cognitive SIMO network access method based on cooperative relay, wherein a cognitive base station collects channel responses in a network and judges whether the cognitive users can cooperate with a primary user to achieve the target transmission rate required by the primary user or not, if so, a cognitive SIMO network is accessible to a frequency band licensed to the primary user; otherwise, the cognitive SIMO network is non-accessible. The access method can enable a plurality of the cognitive users and the primary user to simultaneously use the same licensed spectrum in the same geographical position, on the premise of ensuring the target transmission rate of the primary user, and further improve the utilization efficiency of the spectrum as far as possible. As the access method is based on cooperative communication, the nearer the distance from the cognitive network to the primary network is, the greater the network throughput can be achieved; and furthermore, a large-range network coverage can be realized, so the deficiencies in the existing cognitive radio access ways are made up.

Cognitive SIMO network access method based on cooperative relay

A resource distribution method for throughput maximization in a cooperative cognitive SIMO network. The primary user sends data after receiving a cooperation confirmation message, and the cognitive network keeps silent, receives the information data of the primary user and simultaneously decodes the data. The cognitive users which successfully decode the data send the data of themselves to the cognitive base station and forward the data of the primary user; the cognitive users which cannot successfully decode the data only send the data of themselves and do not forward the data of the primary user. The cognitive base station eliminates the interference of the data of primary user and performs beamforming for the signals. According to the combined adjustment the maximum throughput performance can be realized in the cognitive network.

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Jiangsu, China

Jinlong Wang