针对NOMA-VLC系统中固定功率分配(Fixed Power Allocation,FPA)方法存在用户间干扰严重问题导致通信可靠性差,迭代注水功率分配(Iterative Water-filling Power Allocation,IWPA)方法存在难以保证用户公平性问题,提出基于信道容量的功...针对NOMA-VLC系统中固定功率分配(Fixed Power Allocation,FPA)方法存在用户间干扰严重问题导致通信可靠性差,迭代注水功率分配(Iterative Water-filling Power Allocation,IWPA)方法存在难以保证用户公平性问题,提出基于信道容量的功率分配方法,首先对多用户场景下的系统模型进行分析;在此基础上,基于迭代优化的方式进行发送端用户功率分配,达到信道容量的目标函数,保证系统可靠性和用户公平性;最后建立实验平台,通过蒙特卡洛实验对系统性能进行分析,实验结果表明:在三种不同的调制格式下,文中方法相较于FPA方法系统平均获得10 dB以上性能增益,相较于IWPA方法系统保证两用户可靠通信;随着前端调制阶次的提高,文中方法有效降低SNR需求,减小用户间的性能差异,使用户公平性得到良好保证。展开更多
非正交多址接入(Non-Orthogonal Multiple Access,NOMA)技术与设备到设备(Device-to-Device,D2D)通信技术相结合在实现高效频谱利用率和大规模接入上有着突出的优势。针对现有的NOMA-D2D系统存在的信道分配模式单一和D2D组内功率分配难...非正交多址接入(Non-Orthogonal Multiple Access,NOMA)技术与设备到设备(Device-to-Device,D2D)通信技术相结合在实现高效频谱利用率和大规模接入上有着突出的优势。针对现有的NOMA-D2D系统存在的信道分配模式单一和D2D组内功率分配难以获得最优解的问题,构建了以D2D组和速率为优化目标的联合资源分配算法的方案:首先,在子信道分配上,将问题转换为双边匹配问题,提出了一种基于多对一场景下的D2D组信道分配算法;然后运用基于逐次凸逼近的凸差分(Difference of two Convex functions,DC)编程方法求出接近最优的功率分配值。仿真结果表明,提出的多对一场景下信道匹配算法在和速率上明显优于一对一场景下的信道匹配算法,提出的功率分配算法相比起对偶迭代算法更接近最优功率分配。展开更多
Most resource allocation algorithms are based on interference power constraint in cognitive radio networks.Instead of using conventional primary user interference constraint,we give a new criterion called allowable si...Most resource allocation algorithms are based on interference power constraint in cognitive radio networks.Instead of using conventional primary user interference constraint,we give a new criterion called allowable signal to interference plus noise ratio(SINR) loss constraint in cognitive transmission to protect primary users.Considering power allocation problem for cognitive users over flat fading channels,in order to maximize throughput of cognitive users subject to the allowable SINR loss constraint and maximum transmit power for each cognitive user,we propose a new power allocation algorithm.The comparison of computer simulation between our proposed algorithm and the algorithm based on interference power constraint is provided to show that it gets more throughput and provides stability to cognitive radio networks.展开更多
文摘针对NOMA-VLC系统中固定功率分配(Fixed Power Allocation,FPA)方法存在用户间干扰严重问题导致通信可靠性差,迭代注水功率分配(Iterative Water-filling Power Allocation,IWPA)方法存在难以保证用户公平性问题,提出基于信道容量的功率分配方法,首先对多用户场景下的系统模型进行分析;在此基础上,基于迭代优化的方式进行发送端用户功率分配,达到信道容量的目标函数,保证系统可靠性和用户公平性;最后建立实验平台,通过蒙特卡洛实验对系统性能进行分析,实验结果表明:在三种不同的调制格式下,文中方法相较于FPA方法系统平均获得10 dB以上性能增益,相较于IWPA方法系统保证两用户可靠通信;随着前端调制阶次的提高,文中方法有效降低SNR需求,减小用户间的性能差异,使用户公平性得到良好保证。
文摘非正交多址接入(Non-Orthogonal Multiple Access,NOMA)技术与设备到设备(Device-to-Device,D2D)通信技术相结合在实现高效频谱利用率和大规模接入上有着突出的优势。针对现有的NOMA-D2D系统存在的信道分配模式单一和D2D组内功率分配难以获得最优解的问题,构建了以D2D组和速率为优化目标的联合资源分配算法的方案:首先,在子信道分配上,将问题转换为双边匹配问题,提出了一种基于多对一场景下的D2D组信道分配算法;然后运用基于逐次凸逼近的凸差分(Difference of two Convex functions,DC)编程方法求出接近最优的功率分配值。仿真结果表明,提出的多对一场景下信道匹配算法在和速率上明显优于一对一场景下的信道匹配算法,提出的功率分配算法相比起对偶迭代算法更接近最优功率分配。
文摘太赫兹(Terahertz,THz)频带与非正交多址接入(Non-Orthogonal Multiple Access,NOMA)技术相结合在实现大规模连接和超高速通信方面有着突出的优势。但是目前关于下行THz-NOMA系统的资源分配问题研究还很少,现有的方案存在算法复杂度高和系统性能低等缺点。以能量效率为优化目标,研究下行THz-NOMA系统的资源分配问题:首先,为了降低用户和子信道间的匹配复杂度,将该问题等效为双边匹配(Two Side Match,TSM)问题,提出了基于TSM的匹配算法;其次,针对子信道间功率分配问题的非凸性,通过将非凸函数转化为两个凸函数的差分,迭代求解凸子问题得到该问题的解。对于子信道内用户功率分配,推导出了最优功率分配的闭式解。仿真结果表明,本文提出的子信道匹配算法比开关匹配算法复杂度更低,提出的功率分配算法比传统的功率分配算法可实现更高的系统能效。
基金ACKNOWLEDGEMENTS This work is supported by National Natural Science Foundation of China （No. 61171079）. The authors would like to thank the editors and the anonymous reviewers for their detailed constructive comments that helped to improve the presentation of this paper.
文摘Most resource allocation algorithms are based on interference power constraint in cognitive radio networks.Instead of using conventional primary user interference constraint,we give a new criterion called allowable signal to interference plus noise ratio(SINR) loss constraint in cognitive transmission to protect primary users.Considering power allocation problem for cognitive users over flat fading channels,in order to maximize throughput of cognitive users subject to the allowable SINR loss constraint and maximum transmit power for each cognitive user,we propose a new power allocation algorithm.The comparison of computer simulation between our proposed algorithm and the algorithm based on interference power constraint is provided to show that it gets more throughput and provides stability to cognitive radio networks.
