在干扰温度和总发送功率的限制条件下,提出了一种基于正交频分多址(OFDMA)接入方式的认知无线电网络上行链路子载波和功率分配算法,目标为最大化系统吞吐量.算法在初始分配方案的基础上不断调整,最终逼近最优分配方案.仿真结果表明,所提算法在大幅度降低计算复杂度的同时,达到了接近穷举方案的性能.
Under the constraints of interference temperature and total transmit power, an algorithm is proposed for the uplink in orthogonal frequency division multiple access( OFDMA) based cognitive radio networks to maximize the system throughput. With the algorithm, the initial allocation will be adjusted to achieve the optimal allocation step by step. The simulations show that the proposed algorithm achieves the performance of exhausted scheme while decreasing the computational complexity largely.