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机构地区:[1]College of Communication Engineering, Jilin University, Changchun 130012, China
出 处:《Chinese Journal of Electronics》2013年第1期167-172,共6页电子学报(英文版)
基 金:This work is supported by the National Natural Science Foundation of China (No.61171079).
摘 要:Efficient and reliable resource allocation algorithm is one of the key problems for the realization of cognitive radio networks. Due to the rapidly changing characteristics of cognitive environment, water-filling algo-rithm is difficult to meet this environment because of the interaction with primary users. In this paper, we propose a primary user Quality of service (QoS) and activity con- cerned resource allocation algorithm in OFDM based cog-nitive radio system with a risk-return model which reflects availability of subcarriers or primary user activity and date transmission outage probability constraint to guarantee primary users' QoS. Taking maximization of the expected sum rate of cognitive system as the objective function, we solve this optimization problem by a Lagrangian dual method under the introduced primary user outage proba-bility constraint. Finally, the performance comparison of water-filling algorithm and our algorithm is given. The simulation results show that the proposed algorithm can obtain more transmission capacity and effectively guaran-tee primary users' QoS.
关 键 词:Cognitive radio Resource allocation Pri-mary user activity Outage probability.
分 类 号:TN92[电子电信—通信与信息系统] TP338.8[电子电信—信息与通信工程]
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