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机构地区:[1]解放军理工大学通信工程学院,南京210007 [2]第二炮兵指挥学院,武汉430010
出 处:《信号处理》2014年第8期973-978,共6页Journal of Signal Processing
基 金:国家高技术研究发展计划(863计划)(2012AA01A508)
摘 要:在多波束卫星通信系统中,资源利用率受星上能量的限制,提高资源的利用率非常重要。为提高星上资源分配的灵活性,提出了一种在波束间干扰条件下基于不同业务需求和信道条件的多波束卫星下行链路功率带宽联合优化算法。该联合优化算法采用二阶差分目标函数,采用拉格朗日对偶理论和次梯度法获得该联合优化问题最优解的下界。仿真结果表明,与单独优化功率和带宽算法相比,该功率带宽联合优化算法可以根据不同的业务需求和信道条件更加灵活地分配系统资源,提高了资源利用率。In the multi-spot-beam satellite communication system,the utilization efficiency of resources is constrained by on-board energy.It is important to improve the efficiency of resources.Taking inter-beam interference of each beam into account,a joint power and bandwidth allocation algorithm based on different traffic demands and channel conditions over satellite downlinks is proposed,which increases the flexibility of the multi-spot-beam resource optimization.The algorithm adopts a two order differential object function and obtains a lower bound of the optimal power and bandwidth with Lagrangian duality theory and sub-gradient method.The simulation results show,compared with separate power and bandwidth optimization algorithm,the joint optimization algorithm can allocate system resource more flexible and satisfy different traffic demands and channel conditions.So it improves on-board resource utilization efficiency.
分 类 号:TN927.2[电子电信—通信与信息系统]
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