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针对多用户多输入多输出系统,讨论了一种多用户下行链路使用广义空间调制传输多用户信号的方案。该方案利用广义空间调制(GSM, generalized spatial modulation)技术,发送端和接收端均不需要知道信道状态信息,系统结构比较简单。同时,能有效消除信道间干扰,获得较优的系统性能。仿真分析表明,该方案在克服传统多用户MIMO系统缺点的同时,能获得较低的系统误码率。 相似文献
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该文对下行多用户MIMO-OFDMA/SDMA系统动态资源分配算法进行了研究,在满足各种约束条件的前提下,以最大化系统吞吐量为目标建立了相应的优化模型。由于最优解难以获得,将整个优化过程分两步完成,第1步定义了一个用于度量配置多根天线的用户空间兼容性的指标,并根据该指标提出了相应的调度算法;第2步提出了两种次优的资源分配算法。仿真结果表明,所提算法优于传统的随机调度算法,与功率复用策略结合时,所提算法的性能接近于基于用户选择的最优分配算法的性能。 相似文献
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We propose the physical-layer (PHY) air interface solutions for downlink and uplink transmissions in broadband high-speed
wireless cellular systems. A system based on low-density parity-check (LDPC) coded multiple-input-multiple-output (MIMO) orthogonal
frequency-division multiplexing (OFDM) time-division multiple-accessing (TDMA) (with scheduling) is proposed for downlink
transmission; and a system based on orthogonal space-time block coded (STBC) multi-carrier code-division multiple-accessing
(MC-CDMA) is proposed for uplink transmission. The proposed scheme can support ∼100 Mbps peak rate over 25 MHz bandwidth downlink
channels and ∼30 Mbps sum rate of multiple users over 25 MHz uplink channels. Moreover, the proposed solutions provide excellent
performance and reasonable complexity for mobile station and for base station.
Ben Lu received the B.S. and M.S. degrees in electrical engineering from Southeast University, Nanjing, China, in 1994 and 1997;
the Ph.D. degree from Texas A & M University in 2002. From 1994 to 1997, he was a Research Assistant with National Mobile
Communications Research Laboratory at Southeast University, China. From 1997 to 1998, he was with the CDMA Research Department
of Zhongxing Telecommunication Equipment Co., Shanghai, China. From 2002 to 2004, he worked for the project of high-speed
wireless packet data transmission (4G prototype) at NEC Laboratories America, Princeton, New Jersey. He is now with Silicon
Laboratories. His research interests include the signal processing and error-control coding for mobile and wireless communication
systems.
Xiaodong Wang received the B.S. degree in Electrical Engineering and Applied Mathematics (with the highest honor) from Shanghai Jiao Tong
University, Shanghai, China, in 1992; the M.S. degree in Electrical and Computer Engineering from Purdue University in 1995;
and the Ph.D degree in Electrical Engineering from Princeton University in 1998. From July 1998 to December 2001, he was an
Assistant Professor in the Department of Electrical Engineering, Texas A&M University. In January 2002, he joined the faculty
of the Department of Electrical Engineering, Columbia University. Dr. Wang’s research interests fall in the general areas
of computing, signal processing and communications. He has worked in the areas of digital communications, digital signal processing,
parallel and distributed computing, nanoelectronics and bioinformatics, and has published extensively in these areas. Among
his publications is a recent book entitled “Wireless Communication Systems: Advanced Techniques for Signal Reception”, published
by Prentice Hall, Upper Saddle River, in 2003. His current research interests include wireless communications, Monte Carlo-based
statistical signal processing, and genomic signal processing. Dr. Wang received the 1999 NSF CAREER Award, and the 2001 IEEE
Communications Society and Information Theory Society Joint Paper Award. He currently serves as an Associate Editor for the
IEEE Transactions on Communications, the IEEE Transactions on Wireless Communications, the IEEE Transactions on Signal Processing, and the IEEE Transactions on Information Theory.
Mohammad Madihian (S’78-M’83-SM’88-F’98) received his Ph.D in electronic engineering from Shizuoka University, Hamamatsu, Japan, in 1983. He
is presently the Chief Patent Officer and Department Head, NEC Laboratories America, Inc., Princeton, New Jersey, where he
conducts Microwave as well as PHY/MAC layer signal processing activities for high-speed wireless networks and personal communications
applications. He holds 35 Japan/US patents and has authored/co-authored more than 130 technical publications including 25
invited talks. He has received 8 NEC Distinguished R&D Achievement Awards, the 1988 IEEE MTT-S Best Paper Microwave Prize,
and 1998 IEEE Fellow Award. He has served as Guest Editor to the IEEE Journal of Solid-State Circuits, Japan IEICE Transactions
on Electronics, and IEEE Transactions on Microwave Theory and Techniques. He is currently serving on the IEEE Speaker’s Bureau,
IEEE Compound Semiconductor IC Symposium Executive Committee, IEEE Radio and Wireless Symposium Executive Committee, IEEE
International Microwave Symposium Technical Program Committee, IEEE MTT-6 Subcommittee, IEEE MTT Editorial Board, and Technical
Program Committee of International Conference on Solid State Devices and Materials. Dr. Madihian is an Adjunct Professor at
Electrical and Computer Engineering Department, Drexel University, Philadelphia, Pennsylvania. 相似文献
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-In this paper, we propose a downlink transmission and receiving scheme for interleave-division multiple access (IDMA) system based ontime-division duplexing (TDD) mode and time-reversal(TR) technique. The proposed scheme uses thetime-reversed version of the channel impulse responses(CIR) obtained from the uplink to pre-process thetransmitted signal at base station. By exploiting theweak correlations of fading channels for different userends (UE), it is helpful to alleviate the multi-userinterference (MUI) and co-channel interference (CCI).Moreover, the application of the TR technique in amultiple input-single output (MISO) configuration canreduce the delay spread of the channel impulse response,and mitigate inter-symbol interference (ISI). The Uecan be simplified by canceling the iteration operation.Thus the data detection of the proposed scheme is rathersimple as compared with the traditional IDMA, thecomplexity and computational load of UE is decreasedsubstantially, and the proposed scheme provides a greatdeal of privacy and security to mobile users. 相似文献
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多用户多输入多输出系统下行链路中,信漏噪比最大化的预编码方法的发射功率控制方式并不能有效保证用户可达的信漏噪比,该文提出追求信漏噪比约束下最小化发射总功率的预编码器设计方案。利用半正定松弛的方法对目标问题可以进行有效地求解,并且在设计目标中增加功率约束条件,能有效降低基站的发射总功率。仿真结果显示相比于信漏噪比最大化方法,该文提出的方案在满足较大的信漏噪比门限时具有更好的系统误码性能和更低的发射总功率,并且随着信噪比的增加,其发射总功率不断降低。 相似文献
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