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In this paper we have studied the subcarrier and optimal power allocation strategy for OFDM-based cognitive radio (CR) networks. Firstly, in order to protect the primary user communication from the interference of the cognitive user transmissions in fading wireless channels, we design an opportunistic power control scheme to maximize the cognitive user capacity without degrading primary user’s QoS...
In this paper, we study power allocation strategy of the cognitive radio (CR) system. In a CR system the user has different channel condition. So, different amount of power resource is required to meets the QoS request. In order to guarantee the fairness of each CR user and limit the interference that is caused by CR users within the range into the level that primary user can tolerate, we proposed...
In this paper, we study power allocation strategies of the cognitive radio (CR) system. In a CR system the user has different channel condition. So, different amount of power resource is required to meets the QoS request. In order to guarantee the fairness of each CR user and limit the interference that is caused by other CR users within the range into the level that primary user can tolerate, we...
In this paper, the authors make optimization to multi-objective function of cognitive radio with the help of quantum genetic algorithm(QGA) based on clonal selection. And a clonal selection quantum (CSQ) has been put forward by quantum genetic algorithm and immune clonal selection, and the algorithm have been improved. It produces encouraging results when we apply the algorithm to the function optimization...
Orthogonal frequency division multiplexing (OFDM) is an attractive modulation candidate for cognitive radio networks. This paper focuses on the subcarrier and power allocation for OFDM-based cognitive radio network. Our objective is to maximize secondary user's transmission rate by adjusting its power resource under the constraint of primary user's tolerable interference limit. First, we proposed...
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