干扰温度限制下的无线资源管理
Radio Resourse Management Under Interference Temperature Constraints
在干扰温度和总发送功率的限制条件下，提出了一种基于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方案，目标为最大化系统吞吐量。该问题被建模为一个凸优化问题，通过使用凸优化理论中的KKT条件和拉格朗日对偶方法对该问题进行迭代求解。仿真结果表明，提出的算法达到了穷举方案的性能。
Under the constraints of interference temperature and the total transmit power, an algorithm is proposed for uplink in OFDMA-based cognitive radio networks to maximize the system throughput. This problem is formulated as a convex optimization problem, which is solved iteratively by applying the KKT condition and the Lagrange Dual method in the convex optimization theory. The simulation results show that the proposed algorithm achieves the performance of exhausted scheme.
于晓龙、卢前溪
无线通信通信电子对抗
凸优化无线资源分配认知无线电
onvex optimizationRadio resource managementognitive radio
于晓龙,卢前溪.干扰温度限制下的无线资源管理[EB/OL].(2009-12-22)[2025-07-25].http://www.paper.edu.cn/releasepaper/content/200912-796.点此复制
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