ID 原文 译文
39946 但由于无线数据业务类型的多样化和频谱资源的稀缺性，如何实现用户数据服务的服务体验质量（Quality of experience，QoE）和公平性提升也成为星地一体化网络亟待解决的关键问题。 However, due to the diversity of wireless data services and the scarcity of spectrum resources, how to improve the quality of experience(QoE)and fairness has become a key problem to be solved in the integrated satellite and terrestrial networks.
39947 本文综合考虑信道时变性、服务体验多样性和服务公平性，提出了一种基于QoE感知的星地一体化网络资源分配策略。 We investigate a general QoE-aware dynamic resource allocation strategy with consideration of the time-varying channels, diversified user's quality of experience and fairness for the integrated satellite and terrestrial networks.
39948 为此，将目标问题描述为基于时间平均的服务体验质量的网络公平效用最大化， To do so, we formulate the objective problem as the maximization of the network fairness utility based on the time-averaged QoE.
39949 并利用李雅普诺夫优化理论，将复杂的动态原始优化问题进一步转化并分解为3个瞬时优化子问题，每个子问题可以在每个时隙独立求解。 By using the Lyapunov optimization theory, we further transform and decompose the initial problem into three subproblems which can be independently solved at each slot.
39950 同时，由于无线资源分配为典型的非凹混合组合优化问题，推导了一个低复杂度的两步算法来求解第三个资源分配子问题。 Meanwhile, we derive a low complexity two-step algorithm to solve the third resource allocation subproblem which is a non-concave mix combination optimization problem.
39951 仿真结果揭示了在不同的公平性参数下用户的长时QoE与公平性之间的折衷情况。 The simulation results reveal the tradeoff between user's long-term time-averaged QoE and fairness performance under different fairness parameters.
39952 为保证卫星通信系统在频谱竞争和拥挤的复杂电磁环境下可靠通信，提高频谱检测性能，利用支持向量机算法将对未占用的频带的检测问题转化为一个二分类问题。 In order to improve the performance of the spectrum detection, and reliable communication in the spectrum congestion and competition complex electromagnetic environment of satellite system, the spectrum detection is converted to a binary classification problem by employing the support vector machine(SVM)algorithm.
39953 通过能量向量减去中心向量和基向量构造用来表征信号的特征向量，对特征向量学习得到用于判断频谱状态的支持向量机模型，采用模拟退火算法训练搜索最佳的高斯核参数。 Specifically, the feature vector, which is used to characterize the signals, is obtained by removing the central and basis vectors from the energy vector and the SVM model for determining the spectrum status is then constructed. Moreover, the optimal parameter of the Gaussian kernel is determined by adopting the simulated annealing(SA)algorithm.
39954 仿真结果表明，所提出的算法与单阈值和双阈值频谱感知算法相比具有更优的检测准确性和鲁棒性，同时高检测率有助于提高系统的吞吐量和能效， Simulation results show that the proposed scheme can achieve better spectrum detection accuracy and increase the detection robustness as well as improve the system throughput and energy efficiency as compared to the existing single threshold and double-threshold base spectrum sensing schemes.
39955 为后续认知卫星通信系统的建设提供了支撑。 The work conducted in this paper could support the construction and development of future cognitive satellite communications systems.