中国空间技术研究院西安分院,西安,710100
网络首发:2013-06-10,
纸质出版:2013
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陈鹏 1, 邱乐德 2, 王宇 1. 卫星认知无线电检测门限与功率分配联合优化算法[J]. 西安交通大学学报, 2013,47(6):31-36+43.
Joint Optimization Algorithm of Detection Threshold and Power Allocation for Satellite Underlay Cognitive Radio[J]. 2013, 47(6): 31-36+43.
陈鹏 1, 邱乐德 2, 王宇 1. 卫星认知无线电检测门限与功率分配联合优化算法[J]. 西安交通大学学报, 2013,47(6):31-36+43. DOI: 10.7652/xjtuxb201306006.
Joint Optimization Algorithm of Detection Threshold and Power Allocation for Satellite Underlay Cognitive Radio[J]. 2013, 47(6): 31-36+43. DOI: 10.7652/xjtuxb201306006.
针对窄带卫星通信中频谱利用率不足的情况
以最大化带内数据传输量为目标
提出了基于卫星Underlay认知无线电的上行链路中信道检测门限与功率分配联合优化(JDPO)算法。首先根据检测误差、功率向量与数据传输量之间的运算关系构建了卫星Underlay认知无线电接入模型
之后将目标函数分解为检测门限与功率分配2个子问题分别进行优化
以加窗粒子群优化算法逼近了最优检测门限
根据库恩-塔克条件求解了最优功率分配向量。通过引入中间量使2个子算法反复迭代
最终得到了检测门限与功率分配的联合最优解。仿真结果表明:存在多个次要用户时
JDPO算法可以获得更多的带内数据传输量; 与传统方法相比
JDPO算法的数据传输量最大可提高50%。
A joint detection threshold and power allocation optimization(JDPO)based on underlay cognitive radio is proposed to improve spectrum utilization in narrowband satellite systems. The joint scheme maximizes throughput and focuses on uplink. A corresponding model is established using the operation relationship among detection error
power allocation and throughput. Then
the optimization problem is partioned into two sub-problems: optimization of detection threshold and optimization of power allocation. A windowed particle swarm optimization is proposed to solve the former sub-problem
and the Kuhn-Tucker condition is applied to find the solution of the latter one. An intermediate variable is introduced to repeatedly perform iteration between both the sub-solutions to get the joint-optimal solutions for the detection threshold and power allocation. Simulation results and comparisons with the traditional satellite communication show that the JDPO scheme gets about 50% throughput increasing.
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