基于块对角化预编码系统性能分析

分析了MIMO多用户系统预编码系统块对角化(BD:Block Diagonalization)处理方法。通过设计信号发送滤波器和接收滤波器,将MIMO多用户下行链路信道进行分解成多个平行独立的单用户MIMO信道来处理,以消除多用户同道干扰(CCI),从而提高系统性能。MATLAB仿真结果证明了该方法的有效性。     

一种联合空时分组编码和自适应波束形成的方法

提出一种基于自适应波束形成循环平稳信号算法的STBC系统,首先利用信号的循环平稳性质实现自适应波束形成,然后基于对上行链路感兴趣信号的多个分量的波束形成的估计来构造一对低相关的发送波束,经STBC编码后的即可发送以同时达到分集增益和波束形成增益,并增加下行链路的SNR.提出的方法具有计算简单和快速收敛的性能,可应用于复杂干扰环境下的TDMA无线通信.仿真结果表明这个方法比常规STBC有更好的性能,在误码率为10-4时,可获得5 dB增益.     

无线信能同传系统的吞吐量优化研究

本文研究了在下行网络中,大规模多输入单输出(MISO)无线信息和能量同传(SWIPT)系统的吞吐量优化问题.在该场景下,发送端发送波束成型信号与用户进行通信,接收端采用时间切换器进行信号分割,按照时隙切换分别进行信息和能量的收集.通过运用波束成型技术,采取时间分配方案,提高能量获取效率.为了简化目标函数,降低算法的复杂度,提高传输速率,提出了基于迫零准则的波束成型方案,并用拉格朗日对偶法将该非凸问题转化为一个半定规化问题求解.最后,通过仿真验证算法,仿真结果证明基于时间切换器的无线信息和能量同传系统的正确性和合理性.     

一种抑制智能天线主波束内多用户干扰的方法

研究了一种抑制SA主波束内多用户干扰的方法,首先给出了采用智能天线的TD—SCDMA下行链路模型,在此基础上给出了抑制SA主波束内多用户干扰的方法,然后推导出了权向量的确定,最后就TD—SCDMA系统应用环境进行了仿真和分析．该方案不仅可以减少智能天线主波束内存在的多用户干扰,而且可以降低移动台的复杂度．     

基于LBT算法的多用户动态接入Wi-Fi通信系统的性能分析

考虑到快速增长的移动终端给蜂窝网络部署带来的挑战，提出多用户动态接入Wi-Fi频谱的通信框架.该框架结合设备至设备(Device-to-Device, D2D)通信技术，形成协作(Cooperative D2D,C-D2D)网络框架.首先，用户端利用先听后发(listen-before-talk, LBT)算法检测空闲Wi-Fi频谱；然后依据是否存在空闲Wi-Fi频谱，系统动态接入带内C-D2D或带外D2D模式；最后，推导带内C-D2D和带外D2D模式下D2D用户链路和基站与转发用户间链路中断概率的数学解析表达式.性能分析表明，动态接入Wi-Fi频谱能降低链路中断概率.     

多用户MIMO系统预编码技术的研究

在多输入多输出(MIMO)多用户通信系统下行链路中,当发射端知道信道状态特性(CSI)时,即对发射端进行预编码设计,使接收与发射联合处理可获得较好的通信性能。本文着重分析目前MIMO多用户系统下行链路的三种预编码技术,即直接信道求逆的迫零预编码、规范的信道求逆预编码和基于THP预编码。分析了迫零预编码性能不好的主要原因,可以由规范的信道求逆预编码进行改进,并得出非线形预编码THP预编码性能优于前面两种线形预编码。MATLAB仿真结果证明了以上分析。     

一种多基站间协作的分布式动态小区分簇算法

在蜂窝网络中,多基站间协作传输能够显著提升用户的频谱效率,但巨大的反馈开销使得该方式难以实现.文章提出了一种分布式动态小区成簇算法,该算法消除了对中央处理单元收集完整信道状态信息的依赖。并且在计算优先权函数时将矩阵乘法运算简化为标量求和运算,省略了基于信号功率与噪声干扰比值求信道容量的计算步骤,降低了运算复杂度.实验结果表明,该算法的各小区速率性能之和,明显优于静态分簇算法并且十分接近集中式贪婪分簇算法,具有较低的复杂度和信道估计开销.协作簇大小为3时,算法能够在速率性能与算法复杂度间取得最佳的效果.     

多天线WCDMA系统空时发送分集技术的性能分析

研究了WCDMA系统4发送天线时可能存在的几种空时编码发送分集技术, 给出了各自的rake接收模型并研究了在衰落信道中的接收性能, 同时也与多天线的接收分集技术做了比较. 理论分析表明:在分集级数少的移动信道中, 各种多天线发送分集技术提供了很大的接收增益, 尤其是G4编码方案; 在多用户环境下, 与同级数的接收分集技术相比, 发送分集由于引入了多径及多用户干扰而需要在接收端采用干扰抑制技术.     

基于统计信道状态信息的有限反馈空分多址方法

研究了在发送相关信道场景下,综合利用统计信道状态信息和瞬时信道状态信息的多波束选择算法.与传统的基于码本的传输方案不同,基于单信道质量标识反馈的多波束选择算法利用统计信道状态信息决定其最佳的波束矢量,每一时隙只反馈信道质量标识,而且该算法的性能与传统方案基本相近.为了进一步提高平均和速率,提出了基于双信道质量标识反馈的...     

基于复用分割技术的两跳蜂窝网的频谱分配方案

根据复用分割原则,提出2种新的两跳固定中继蜂窝网的频谱分配方案,即:侧重于覆盖面积的频谱分配方案和侧重于频谱效率的频谱分配方案.相对于侧重频谱效率的频谱分配方案,侧重于覆盖面积的频谱分配方案有较大的频谱复用距离,从而能够提供更好的链路质量,其重点在于解决覆盖问题.同时,相对于侧重覆盖面积的频谱分配方案,侧重于频谱效率的频谱分配方案的频谱复用距离较小,从而有更高的频谱利用率,其重点在于解决频谱效率问题.与基于信道借用的频谱分配方案及传统无中继频谱分配方案比较,理论分析和仿真结果表明,提出的侧重于覆盖面积的频谱分配方案能提供最好的覆盖,同时侧重于频谱效率的频谱分配方案能得到最大的面积频谱效率.     

下行多用户MC-CDMA系统中的自适应资源分配

研究了多用户场景下多载波码分多址系统（MC—CDMA）的下行信道和功率分配,并将吞吐最大化问题建模成一个混合整数优化问题．为了简化分析,将问题分成2个低复杂度的子问题：功率分配和信道分配．这2个子问题可分别被一个次最优自适应功率分配算法（APA）和一个最优自适应信道分配算法（ACA）解决．通过联合APA和ACA算法,进一步提出了一个自适应信道和功率的分配方案．仿真结果表明：与传统的均匀功率分配算法相比,提出的APA算法更加适用于MC—CDMA系统;此外,提出的自适应信道和功率分配方案可以显著地提高系统吞吐量性能．     

Joint channel and power allocation scheme for cognitive wireless networks

Cognitive radio (CR) is a promising technology deemed to improve the efficiency of spectrum utilization. This paper considers a spectrum underlay cognitive radio network, in which the cognitive users (CUs) are allowed to use the radio spectrum concurrently with the primary users (PUs) under the interference temperature constraint. We investigate the system performance by using the proposed joint channel and power allocation scheme under two transmit strategies to achieve higher data rates and performance diversity gain respectively. Simulation results show that the proposed scheme provides a significant improvement on the bit error rate (BER) performance and spectrum efficiency of a cognitive wireless network.     

Research on the improved cooperative cellular system capacity

Recently, the multi-hop cellular networks have been widely studied in order to enhance the cell performances such as the cell capacity. While most of these works merely use the multi-hop methods instead of direct transmission without considering the co-channel inter-cell interference, signal transmission mode and the effects of the number of antennas. With the consideration of above important elements, this paper proposed an improved cellular system with multi-relay amplifies-and-forward (AF) cooperative transmission scheme and the corresponding capacity expression is derived under the corresponding environment. By using the potential space diversity and selecting relays based on maximizing the capacity, the cellular system capacity can be improved effectively. The simulation results show that with the assistance of optimal selected relays, the improved cooperative cellular system capacity with multi-relay AF transmission scheme performs better than single-hop cellular system.     

Reuse Partitioning-Based Frequency Assignment in Fixed Two-Hop Relay Cellular Network

Future mobile wireless communicationsystems demandhigh data rates and spectral efficiency in addition to ubiq-uitous coverage . To simultaneously meet these require-ments , a frequency band with higher central frequency(well above 2 GHz) has to be conside…     

Interference cancellation scheme for uplink cognitive radio systems

This paper investigates the interference cancellation (IC) scheme for uplink cognitive radio systems, using the spectrum underlay strategy where the primary users (PUs) and the secondary users (SUs) coexist and operate in the same spectrum. Joint MMSE-based parallel interference cancellation (PIC) and Turbo decoding scheme is proposed to reduce the interference to the PUs, as well as to the SUs, in which the minimum mean square estimation (MMSE) filter is only employed in the first iteration, regarded as the “weakest link” of the whole detection process, to improve the quality of the preliminary detections results before they are fed to the Turbo decoder. Simulation results show that the proposed scheme can efficiently eliminate the interference to the PUs, as well as to the SUs.     

Reputation-based linear cooperation for spectrum sensing in cognitive radio networks

We propose a reputation-based cooperative spectrum sensing scheme in cognitive radio （CR） networks to solve the uncertainty resulting from the multipath fading and shadowing effect. In the proposed scheme, each cooperative CR user has a reputation degree that is initialized and adjusted by the central controller, and used to weight the sensing result from the corre- sponding CR user in the linear fusion process at the central controller. A simple method for adjusting the reputation degree of CR users is also presented. We analyzed and evaluated the detection performance of the reputation-based cooperative spectrum sensing scheme. Simulation results showed that our proposed scheme alleviates the problem of corrupted detection resulting from destructive channel conditions between the primary transmitter and the CR user. The performance of our proposed scheme was improved compared to the average-based linear cooperation scheme, and was similar to that of the optimal linear cooperation scheme with feasible computational complexity. Moreover, our proposed scheme does not require knowledge of channel statistics.     

协同KPCANet模型在人脸识别中的应用

为解决手工提取图像特征过程繁复和参数复杂问题,提出一种基于深度学习的协同KPCANet模型。该算法能够对现场采集到的人脸数据和特征进行提取和分类,通过提取分块直方图特征进行编码协同表示,将测试样本归于残差最小的类中对人脸数据进行识别和运算。实验结果表明,协同KPCANet模型在滤波器数量L1=10时一层卷积层与L2=15时二层卷积层的正确率分别达到99.17%和99.44%。协同KPCANet模型不仅能使运算过程简洁,还能提高识别结果准确度,提升识别效率。     

Compressed sensing-based multiuser cooperative networks

To avoid interference, compressed sensing is introduced into multiuser cooperative network. A cooperative compressed sensing and amplify-and-forward(CCS-AF)scheme is proposed, and it is proved that the channel capacity increases compared with the traditional cooperative scheme by considering the CCS-AF transmission matrix as the measurement matrix. Moreover, a new power allocation algorithm among the relays is proposed to improve the channel capacity. Numerical results validate the effectiveness of the proposed scheme.