搜索资源列表
GA_Sched
- Algorithm MIMO multi-users with sheduler
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- 为了抑制多用户MIMO-OFDM系统的共道干扰,采用MMSE干扰抑制和符号估计相结合的检测方案,该检测方案接收端译码简单.理论分析及仿真结果表明,与传统检测方案相比,该检测方案在没有增加计算复杂度的情况下有效地抑制并消除了共道用户干扰.-In order to restrain the interference of co-channel users in MIMO-OFDM system,in this paper,adopted the combination of the detectio
mmse
- 基于mmse的多用户mimo系统检测算法,空分复用多用户多输入多输出(MIMO)系统具有很高的频谱利用率,由于其系统结构和所处的信道环境的复杂-The spatial division multiplexing multi-user multiple-input multiple-output(MIMO)system has very high spectrum efficiency.However,its system structure and complexity of the cha
liulab
- 对比SISO和SIMO系统的覆盖率,由此说明为什么用MIMO系统可以提高系统的性能-compare the location of users in outage of SIMO and SISO
ZF
- The use of space-division multiple access (SDMA) in the downlink of a multiuser multiple-input, multiple-output (MIMO) wireless communications network can provide a substantial gain in system throughput. The challenge in such multiuser systems is des
Matrix_inversion_Multiuser_MIMO
- Channel Inversion for Multiuser MIMO with MMSE criteria. It picks 4 active users out of 20 users and make a MU-MIMO layout for Multi-user operation.
MU-MIMO-technique
- 文档中介绍首先介绍了多用户MIMO模型,以及LTE中的多用户MIMO方案,通过仿真分析总结出当用户数较少时,在高信噪比条件下,ZF方案的系统吞吐量性能明显优于PU2RC方案。-Document describes first introduced a model of a multi-user MIMO, and LTE multi-user MIMO scheme, by simulation analysis summed up when the number of users is sma
bd-mimio
- 快对角化,实现减小多用户MIMO系统中用户间的干扰的目的-Fast diagonalization, to achieve multi-user MIMO system reduces interference between users of purpose
Interference-Alignment-Techniques-for-MIMO
- The interference alignment (IA) is a promising technique to efficiently mitigate interference and to enhance capacity of a wireless communication network. This paper proposes an interference alignment scheme for a network with multiple cells and mu
shuw
- 与在空间域上通过适当信号处理来分离多用户相比,下行多用户多输入多输出(MU-MIMO)传输技术因其显著增加系统容量的潜力近来已经得到广泛关注。令人遗憾的是,这些技术需要准确的信道状态信息保证其正常运行。然而在实践中,由于在FDD系统中反馈信道的有限容量导致精确的CSIT是难以获得的。本文研究的系统采用MU-MIMO下行链路传输中的分解有限反馈。特别是,支持能够处理用户间干扰的方案的必不可少的信息是确定的,根据把残余的用户间干扰功率最大限度地减小来设计最佳的码本。模拟结果表明,一般的有限反馈对通过
wangchen-dalunwen
- 采用多天线的认知无线电系统相对于单天线认知无线电系统,既有传统的资源(频域,时域,码域),又有空域资源。本文研究基于博弈论的有限反馈认知MIMO系统的资源分配,涉及发射功率、空域(采用波束成形)和反馈速率等资源的分配。利用有限的反馈信道反馈量化的信道状态信息(CSI),基于量化CSI,本文主要研究联合功率分配与波束成形优化、次用户(认知用户或非授权用户)反馈速率控制、联合功率分配与反馈速率控制等相关资源分配问题。-Multi-antenna cognitive radio system with
CAMSAM_05_TUI
- If SDMA is used on the downlink of a multi-user MIMO system, either long-term or short-term channel state information has to be available at the base station (BS) to faciliate the joint precoding of the signals intended for the different users.
matlabCode
- To improve the cellular energy efficiency, without sacrificing quality-of-service (QoS) at the users, the network topology must be densified to enable higher spatial reuse. We analyze a combination of two densification approaches, namely “mas
MIMO-performance
- MU-MIMO is widely considered a key technology for system capacity improvement in modern wireless networks. In contrast to SU-MIMO, where the spatial multiplexing gain is confined to a single user, MU-MIMO allows multiple users to be co-sche
LTE-MIMO-System-Level-Design
- New deployments are needed to address the future needs of 4G networks like high data rate support for clustered users. As a result, there is a shift in paradigm for MIMO increasing the number of antennas at a single cell site to distributin
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- MULTI-USER MIMO DOWNLINK PRECODING FOR USERS WITH MULTIPLE ANTENNAS
大规模MIMO系统研究进展
- 随着无线通信技术的快速发展和智能手机的迅速普及,人们对数据传输速率提出了更高的需 求。为进一步提高数据传输速率,通过增加基站天线数目构建大规模MIMO系统,是一种高效而相对 便捷的方式。大规模MIMO系统能深度发掘空间维的自由度,使得基站能够利用同一时频资源服务于 多个用户。本文探讨了大规模MIMO系统的导频污染问题及解决方案、适用于大规模MIMO系统的 信道模型以及低复杂度的传输技术与实现方法三项关键技术。与现有MIMO系统相比,大规模MIMO 系统能显著提高频谱效率、能量效率和系统
