在3GPP LTE的上行传输中引入了一种虚拟MIMO（V-MIMO）技术。用户配对是V-MIMO技术中一个重要而独特的环节,设计配对算法必须考虑用户吞吐量和公平性。在分析传统的用户配对算法的基础上,提出了一个新的基于SINR（Signal to interfer-en...在3GPP LTE的上行传输中引入了一种虚拟MIMO（V-MIMO）技术。用户配对是V-MIMO技术中一个重要而独特的环节,设计配对算法必须考虑用户吞吐量和公平性。在分析传统的用户配对算法的基础上,提出了一个新的基于SINR（Signal to interfer-ence plus noise ratio）的比例公平（SNIR-PF）配对算法,此算法同时兼顾公平性和高效性并相对降低系统复杂性。同时该文最后通过显示仿真数据来说明这种算法对传统算法的优越性。展开更多
Two-dimensional（2D） multiple-input multiple-output（MIMO） is currently concentrated on propagation in horizontal plane, but the impact of elevation angle is not considered. However, due to the three-dimensional（3D...Two-dimensional（2D） multiple-input multiple-output（MIMO） is currently concentrated on propagation in horizontal plane, but the impact of elevation angle is not considered. However, due to the three-dimensional（3D） character of the real MIMO channel, 2D MIMO cannot achieve the optimal system throughput. A multiple-user MIMO（MU-MIMO） user pairing scheme was proposed, in which the vertical dimension was taken into consideration. In the proposed scheme, a 3D codebook based on full dimension MIMO channel was designed; then two 3D MU-MIMO user＇s pairing schemes are proposed combining the proposed joint and separate 3D codebook. Simulation evaluates the proposed 3D codebook aided user pairing scheme and compares with the previous 2D MU-MIMO user pairing technology. Owing to the additional spatial degree of freedom in vertical dimension, the proposed 3D MU-MIMO user pairing schemes can effectively improve the overall system performance.展开更多
A user pairing method is proposed to improve the throughput gain of virtual multiple input multiple output （virtual MIMO） in 3G long-term evolution（LTE）. The approach taken in this study separated the user pairing...A user pairing method is proposed to improve the throughput gain of virtual multiple input multiple output （virtual MIMO） in 3G long-term evolution（LTE）. The approach taken in this study separated the user pairing into four steps： 1） the users are divided into two groups according to their signal-to-noise ratio （SNR）, and different user pairing metrics are proposed for each group; 2） the scheduler chooses a user for transmitting by a given rule; 3） the scheduler searches the pairing candidate for the selected user in each group; 4） the scheduler chooses the final pairing user from the co-group and crossover-group candidates by using a marginal utility function, to balance fairness and efficiency. The method can improve the throughput of users with high SNR, and guarantee fairness for users with low SNR, so it can be used in 3G LTE systems. The article provides both theoretical analysis and simulation results to support the idea.展开更多
User pairing strategy for virtual multi-input multi-output （VMIMO） has been widely studied to improve system throughput, but most studies are based on perfect channel state information （CSI） and uniform power allo...User pairing strategy for virtual multi-input multi-output （VMIMO） has been widely studied to improve system throughput, but most studies are based on perfect channel state information （CSI） and uniform power allocation. However, perfect CSI is very difficult or even impossible to obtain in practical system. Moreover power allocation has significant impact on algorithm performance. Therefore, in this paper, a low-complex joint user pairing and power allocation algorithm based on aggressive discrete stochastic optimization and Lagrangian dual solution is proposed for uplink VMIMO with imperfect CSI. Simulation results show that the proposed algorithm can achieve desirable throughput performance, and restrict inter-user interference （IUI） efficiently.展开更多
文摘在3GPP LTE的上行传输中引入了一种虚拟MIMO（V-MIMO）技术。用户配对是V-MIMO技术中一个重要而独特的环节,设计配对算法必须考虑用户吞吐量和公平性。在分析传统的用户配对算法的基础上,提出了一个新的基于SINR（Signal to interfer-ence plus noise ratio）的比例公平（SNIR-PF）配对算法,此算法同时兼顾公平性和高效性并相对降低系统复杂性。同时该文最后通过显示仿真数据来说明这种算法对传统算法的优越性。
基金supported by the National Key Project 2013ZX03003009)the National Nature Science Foundation of China(61121001)the Program for Changjiang Scholars and nnovative Research Team in University(IRT1049)
文摘Two-dimensional（2D） multiple-input multiple-output（MIMO） is currently concentrated on propagation in horizontal plane, but the impact of elevation angle is not considered. However, due to the three-dimensional（3D） character of the real MIMO channel, 2D MIMO cannot achieve the optimal system throughput. A multiple-user MIMO（MU-MIMO） user pairing scheme was proposed, in which the vertical dimension was taken into consideration. In the proposed scheme, a 3D codebook based on full dimension MIMO channel was designed; then two 3D MU-MIMO user＇s pairing schemes are proposed combining the proposed joint and separate 3D codebook. Simulation evaluates the proposed 3D codebook aided user pairing scheme and compares with the previous 2D MU-MIMO user pairing technology. Owing to the additional spatial degree of freedom in vertical dimension, the proposed 3D MU-MIMO user pairing schemes can effectively improve the overall system performance.
基金This work is supported by the National Natural Science Foundation of China （60572120）.
文摘A user pairing method is proposed to improve the throughput gain of virtual multiple input multiple output （virtual MIMO） in 3G long-term evolution（LTE）. The approach taken in this study separated the user pairing into four steps： 1） the users are divided into two groups according to their signal-to-noise ratio （SNR）, and different user pairing metrics are proposed for each group; 2） the scheduler chooses a user for transmitting by a given rule; 3） the scheduler searches the pairing candidate for the selected user in each group; 4） the scheduler chooses the final pairing user from the co-group and crossover-group candidates by using a marginal utility function, to balance fairness and efficiency. The method can improve the throughput of users with high SNR, and guarantee fairness for users with low SNR, so it can be used in 3G LTE systems. The article provides both theoretical analysis and simulation results to support the idea.
基金supported by the National Natural Science Foundation of China (61271182)the National Natural Science Funds of China for Young Scholar (61001115)the National Science and Technology Major Project (2011ZX03001-007-03)
文摘User pairing strategy for virtual multi-input multi-output （VMIMO） has been widely studied to improve system throughput, but most studies are based on perfect channel state information （CSI） and uniform power allocation. However, perfect CSI is very difficult or even impossible to obtain in practical system. Moreover power allocation has significant impact on algorithm performance. Therefore, in this paper, a low-complex joint user pairing and power allocation algorithm based on aggressive discrete stochastic optimization and Lagrangian dual solution is proposed for uplink VMIMO with imperfect CSI. Simulation results show that the proposed algorithm can achieve desirable throughput performance, and restrict inter-user interference （IUI） efficiently.
文摘当前非正交多址(Non-Orthogonal Multiple Access,NOMA)系统的用户配对和功率分配通常作为独立的问题进行研究,未考虑接收端不能完美执行串行干扰消除(Successive Interference Cancellation,SIC)的限制。鉴于此,提出一种不完美SIC下NOMA系统用户配对和功率分配联合优化(Joint User Pairing and Power Allocation,JUPPA)方法。给定功率分配方案,采用自适应遗传算法求解用户配对问题,并结合哈希表结构设计自适应交叉和变异算子。给定用户配对方案,利用连续凸逼近(Successive Convex Approximation,SCA)对目标函数下界进行松弛,构造卡罗需库恩塔克(Karush-Kuhn-Tucker,KKT)条件,并基于梯度下降法对功率分配问题进行优化。上述两个过程迭代直至收敛。仿真结果表明,相比于单独优化用户配对或功率分配,JUPPA具有更高的系统和速率。
