Multi-User MIMO Mobile CDMA Uplink System Employing Turbo Coding and Joint Detection Through a Multipath Rayleigh Fading Channel

In this paper, a generalized multiple-input multiple-output (MIMO) antenna system that can be fitted to the uplink of a wireless communication system is considered for the general case of multi-user. At the transmitter, the information bits are Turbo coded, then interleaved and passed through a serial-to-parallel converter. The channel is assumed bad urban suffering from multipath Rayleigh fading resulting in inter-symbol and multiple access interferences (ISI and MAI). At the front-end of the receiver, a number of receiving antennas are used followed by a joint multi-user estimator based on the Minimum Mean Square Error Block Linear Equalizer (MMSE-BLE).Computer simulations demonstrate a significant performance improvement in both single user and multi-user cases.This paper depends in parts on that presented at the 11th European Wireless Conference, Cyprus, Nicosia, pp. 187–192, April 2005. Yasmine A. Fahmy was born in Guiza, Egypt, on June 4, 1976. She received the B.Sc., M.Sc. and Ph.D. degrees in Communication and Electronics engineering from Cairo University, Egypt on 1999, 2001 and 2005 respectively. She is presently an assistant professor at Cairo University, Egypt. Her current field of interest is wireless communication and channel estimation. Hebat-Allah M. Mourad received her B.Sc., M. Sc. and Ph.D. degrees in electrical communication engineering from Cairo University, Egypt, in 1983, 1987 and 1994 respectively. Since 1983, she has been with the Department of Electronics and Communications, Faculty of Engineering, Cairo University, and is currently associate professor there. Her research interests include optical fiber communications, mobile and satellite communications. Emad K. Al-Hussaini received his B.Sc degree in Electrical Communication Engineering from Ain-Shams University, Cairo, Egypt, in 1964 and his M.Sc and Ph.D. degrees from Cairo University, Giza, Egypt, in 1974 and 1977, respectively. From 1964 to 1970, he was with the General Egyptian Aeroorganization. Since 1970, he has been with the Department of Electronics and Communications, Faculty of Engineering, Cairo University, and is currently professor there. He was a research fellow at Imperial College, London, UK, and at the Moore School of Electrical Engineering, University of Pennsylvania, Philadelphia, PA, USA, in the academic years 1976/1977 and 1981/1982, respectively. In 1990, he received the Egyptian national encouragement award for outstanding engineering research. He has written several papers for technical international journals and conferences. His research interests include signal processing, fading channel communication, modulation, and cellular mobile radio systems. Dr Al-Hussaini is a senior member of IEEE. He is listed in Marquis Whos Who in the World and in the IBC (International Biographical Center, Cambridge) for outstanding people of the 20th century.     

基于免疫算法的Hopfield神经网络多用户检测器

提出的基于免疫算法的Hopfield神经网络多用户检测器，将扰乱的Hopfield神经网络多用户检测器的输出作为免疫算法的初始种群，利用了免疫算法的全局收敛的特点，从而克服了Hopfield易收敛到局部能量最小点的缺点。理论分析和仿真结果表明：该检测器具有良好的抗多址干扰和抗远近效应的能力。     

A New Transmit Beamforming Method for Multi-User Communication in Dual-Function Radar-Communication

This paper develops a new transmit beamforming for an integrated mechanical and electrical scanning dual-function radar-communication(DFRC) system. Differing from the related some works using beampattern sidelobe level to communication, we exploit the fact that transmit beamforming weight vector u k in direction θ and weight vector u *k in direction-θ can achieve the same spatial power distribution, and formulate a new transmit beamforming vector design problem accounting for some extra sidelobe level constraints. By doing so, the number of the transmit beamforming weight vectors and the computing demand in the multi-user communication(MUC) scenario can be reduced. Finally, the numerical examples are designed to verify the effectiveness of the proposed design strategy in comparison with the existing method.     

无线多用户投影网关切换技术设计与实现

针对目前无线投影网关多用户切换技术研究的缺失及必要性,为了减少切换带来的延迟、抖动,提出了多用户的切换协议。通过实现基于Wi-Fi Direct的无线投影网关系统,模拟多用户使用场景,给出了详细的切换流程、数据结构,同时分析了延迟产生的原因,提出了数据预缓冲技术,进一步对多用户切换进行改进,最后通过实验测试证明其在减少切换延时的有效性。     

面向多用户的集群资源部署策略

集群系统中面向多用户的资源部署策略优先考虑的是资源能够在不同用户之间进行公平分配,同时实现用户之间的资源共享。为了充分利用集群资源,用户以一定的原则通常是采用权重比的方式共用集群资源。该策略并不关心每个用户所获取的资源总量,只关心用户所获取的资源比例是否总是符合原则,这样可以保证空闲资源总是能够被充分利用。该策略包括资源的定额分配和自主申请两部分,以满足用户的需求。同时提出了采用用户占用资源量与占用时间共同作为公平分配依据的策略,以适应更加复杂的情况。     

基于智能天线的多用户MIMO-OFDM联合发送技术研究

提出了一种基于智能天线(SA)的多用户MIMO-OFDM联合发送(JT)方案,给出了系统模型,推导出了权向量和数据发送及检测算法。通过在TD-SCDMA系统应用环境中的仿真和分析,表明基于SA的多用户MIMO-OFDM的JT技术具有比基于多用户MIMO的JT技术更优良的误比特率性能。     

一种基于码本聚类的低复杂度用户选择算法

现有块对角化(BD)预编码系统用户选择算法较少考虑利用已选用户与剩余用户之间的关系来排除不可选用户.针对这点不足,给出了一种采用码本聚类的低复杂度用户选择算法( CodeGreedy算法).该算法采用弦距离刻画用户信道的相关性,以此为依据将用户划分到不同码本空间中,聚集在同一码本空间的用户信道具有较强的相关性,形成互斥...     

多用户动态交通分配和信号优化的组合研究

提出了一种饱和路网中考虑多用户行为下的动态交通分配和交通信号优化的组合模型。模型采用广义双层规划来表示。模型的上层是信号控制优化,下层是考虑多用户路径选择条件下的动态交通分配,进行交通网络流的配置。同时,模型中采用具有物理排队的动态网络模型,从而考虑了饱和路网中物理排队对基于路段的网络条件的影响。通过仿真说明了饱和路网中考虑多用户行为下的动态交通分配和交通信号优化的组合模型可以实现交通信号的优化配置和交通网络流的优化,并反映了排队的物理效应。     

改进的基于Kalman滤波的盲多用户检测算法

提出了一种改进的基于Kalman滤波的盲多用户检测算法。该算法结合了子空间分解算法和快速Kalman滤波算法。理论分析和仿真结果表明:该改进算法具有较低的运算复杂度和更快的收敛速度,而且在多径衰落信道中具有较好的鲁棒性。