非精确信道状态信息下MIMO系统中的干扰删除

复杂的多天线环境中,未知的干扰和噪声无处不在,这些因素不但引起了多输入多输出(MIMO)系统信号检测的偏差,还加大了获取精确信道状态信息(CSI)的难度。因此,为了删除MIMO系统中的未知干扰,该文建立了非精确CSI下的系统模型,模型中的非线性函数表示MIMO系统中的干扰。基于非参数理论提出了针对这种干扰的干扰删除方法。与以往方法不同的是,模型中的干扰是完全未知的。进一步地,从理论上证明了干扰删除的有效性,即证明了估计函数的收敛性。仿真结果表明,所提出的方法能有效地删除系统中的干扰。     

Impact of Imperfect Channel Information on the Performance of Underlay Cognitive DF Multi-hop Systems

This paper presents an analysis framework for performance evaluation of underlay cognitive decode-and-forward (DF) multi-hop systems over Rayleigh fading channel under imperfect channel information. Specifically, we derive the exact closed-form bit error rate (BER) and interference probability (i.e., the probability that the interference power constraint is invalid) expressions. The derived expressions are well supported by simulations and serve as useful tools for fast system performance evaluation under different aspects. To reduce the interference probability, we consider the back-off power control mechanism. Various results demonstrate the effect of channel information imperfection on the system performance and the trade-off between the interference probability and BER. Also, the performance of underlay cognitive DF multi-hop systems depends both network topology and the number of hops.     

Worst-Case Robust MIMO Transmission With Imperfect Channel Knowledge

In this paper, we consider robust transmit strategies, against the imperfectness of the channel state information at the transmitter (CSIT), for multi-input multi-output (MIMO) communication systems. Following a worst-case deterministic model, the actual channel is assumed to be inside an ellipsoid centered at a nominal channel. The objective is to maximize the worst-case received signal-to-noise ratio (SNR), or to minimize the worst-case Chernoff bound of the error probability, thus leading to a maximin problem. Moreover, we also consider the QoS problem, as a complement of the maximin design, which minimizes the transmit power consumption and meanwhile keeps the received SNR above a given threshold for any channel realization in the ellipsoid. It is shown that, for a general class of power constraints, both the maximin and QoS problems can be equivalently transformed into convex problems, or even further into semidefinite programs (SDPs), thus efficiently solvable by the numerical methods. The most interesting result is that the optimal transmit directions, i.e., the eigenvectors of the transmit covariance, are just the right singular vectors of the nominal channel under some mild conditions. This result leads to a channel-diagonalizing structure, as in the cases of perfect CSIT and statistical CSIT with mean or covariance feedback, and reduces the complicated matrix-valued problem to a scalar power allocation problem. Then we provide the closed-form solution to the resulting power allocation problem.     

在LTE-Advanced网络下的Device-to-Device通信

Device-to-Device（D2D）通信是一种在系统的控制下,允许终端之间通过复用小区资源直接进行通信的新型技术,它能够增加蜂窝通信系统频谱效率,降低终端发射功率,在一定程度上解决无线通信系统频谱资源匮乏的问题。与其他应用于非许可频段的同类技术相比,D2D具有干扰可控等优点。文章对D2D技术原理进行了介绍,阐述了它应用的必要性和应用场景、它对比同类技术的优点,以及在应用中的关键问题。     

Joint Beamforming and Scheduling for a Multi-Antenna Downlink with Imperfect Transmitter Channel Knowledge

We consider the downlink of a wireless system where the base-station has M ges 1 antennas and K user terminals have one antenna each. We study the weighted rate sum maximization in the case of non-perfect Channel State Information at the Transmitter (CSIT). Some relevant downlink optimization problems, such as the stabilization of the transmission queues under random packet arrivals and the proportional fair scheduling for infinite backlogged systems, can be solved as special cases of the proposed problem. We restrict the transmitter strategy to be based on Gaussian coding and beamforming. Even under this simplifying condition, the problem at hand is non-convex and it does not appear to lend itself to a simple algorithmic solution. Therefore, we introduce some approximations that yield a definition of signal-to-interference plus noise ratio (SINR) commonly used in the classical array- processing/beamforming literature. For the simpler (but still non-convex) approximated problem, we propose a powerful heuristic solution based on greedy user selection and a gradient iteration that converges to a local maximum of the objective function. This method yields very competitive results with relatively low computational complexity. Extensive simulations show that, in the case of perfect CSIT, the proposed heuristic scheme performs very closely to the optimal (dirty-paper coding) strategy while, in the case of non-perfect CSIT, it significantly outperforms previously proposed suboptimal approaches, such as random beamforming and approximated zero-forcing with greedy user selection.     

非理想信道状态下多波束卫星通信的鲁棒安全传输设计

考虑多波束卫星通信中存在多天线窃听用户的场景以及非理想信道状态信息带来的系统安全性能恶化,针对合法信道与窃听信道均不理想的多用户MISOME(Multi Input, Single Output, Multi Eavesdropper)系统,该文基于两种类型的信道误差提出了两种鲁棒安全传输方法。在确定误差模型下,利用发送波束成形以及人工噪声协方差的联合优化设计解决系统最差情况安全速率最大化问题(Worst-Case Secrecy Rate Maximization, WC-SRM)问题,通过推导分析将非凸的WC-SRM问题等价为一个1维搜索问题,而这个等价问题的最优解可通过一系列半定规划(SemiDefinite Program, SDP)问题的求解而得到。在统计误差模型下,为求解中断概率约束安全速率最大化(Outage Probability Constrained Secrecy Rate Maximization, OP-SRM)问题,该文提出一种基于WC-SRM的鲁棒安全设计的可靠近似方案。仿真分析验证了该文所提方法的鲁棒性与有效性。     

Interference Alignment in Relay-Aided Networks with Imperfect CSIT

In this paper, a relay-aided interference alignment (RIA) strategy was considered based on the benefits offered by relay-based cooperative networks. Along with the benefits offered by cooperative networks, the RIA was shown as a practical solution for a K-user BC network. The relationship between the achievable DoF region of the RIA and the different levels of outdated channel state information (CSI) were derived. The trade-off between the NRIA and RIA were analysed and the specific trade-off region in each outdated CSI assumption was indicated in the numerical results. Through the achievable DoF numerical results, it was recognised that regarding achievable DoF, the RIA outperforms the NRIA in most of the outdated CSI scenarios.

     

Performance Analysis of Cooperative Underlay Cognitive Networks with Channel Estimation Error

Channel information (CI) plays an important role in system design optimization. It is obtained through channel estimation process and hence, inevitably imperfect at a certain degree. Numerical evaluation of the outage performance of cooperative underlay cognitive networks under the presence of channel estimation error has been left open. This paper heals this literature gap with the proposal of a precise outage probability expression. Various results show the excellent match between analysis and simulation, and the advantage of the derived expression in studying the effect of CI imperfection on system performance.     

通信设备受扰性能评估方法研究

对通信设备受扰等级进行了精细划分,建立了通信设备定性受扰分析评估模型。通过建立电磁干扰余量与设备受扰工作性能指标间的映射关系,从语音清晰度指数、数据通信误码率和通信容量三个指标给出了通信设备受扰程度定量评估方法。通过应用实例进行了数值仿真计算,结果表明:该受扰性能评估方法实用性强,易于工程实现,给通信装备效能评估提供了依据,为雷达、导航等用频设备的电磁干扰效应评估技术研究提供了有益的参考。     

Performance of STTC-MC-CDMA Systems with Imperfect Channel Estimation

Since, in a practical system perfect channel state information (CSI) is not possible due to presence of noise. This paper deals with the performance of space-time trellis code (STTC) in multi-carrier code-division multiple-access systems in presence of channel estimation (CE) error and results are compared with perfect CSI at the receiver. The pilot symbol assisted (PSA) technique is used for CE employing minimum mean-square error method. The symbol error rate (SER) performance is observed by employing Viterbi decoding algorithm to decode STTC code at the receiver in multi-path fading channel. The simulated SER performances in presence of CE error and with perfect CSI are compared with the theoretical performances to validate the theoretical analysis.     

Exact Error Rate Analysis of MIMO-MRC System under Cochannel Interference and Imperfect Channel State Information

In this paper, we derive closed-form solution for the bit error rate of multi-input multi-output (MIMO) system with maximum ratio combining. We consider binary PSK modulation suffers from cochannel interference (CCI) and imperfect channel state information (CSI). We assume a propagation model wherein the desired and interfering signals undergo independent and identically distributed (i.i.d.) Rayleigh fading channels. Furthermore, the signal-to-noise ratio (SNR) gain penalty caused by the interference signals and the root mean square of the CSI were demonstrated. The numerical results presented in this paper demonstrate the system performance under very realistic propagation and detection conditions including MIMO system, CCI, imperfect CSI, generalized fading channels, and AWGN. Hence our results are expected to be of significant practical use for such scenarios.     

5G多载波通信中信道估计干扰抑制均衡算法

传统5G多载波通信中信道估计干扰抑制算法存在着均衡性能较差的问题,表现为误码元数与误码率偏高,因此文章提出5G多载波通信中信道估计干扰抑制均衡算法.该算法首先对干扰项进行过采样处理,引入预处理矩阵以减小模损失的影响,对信道估计干扰进行均衡抑制.仿真实验结果表明,在信噪比相同的情况下,5G多载波通信中信道估计干扰抑制均衡...     

基于非理想信道状态信息的鲁棒安全发送方法

针对协方差信道状态信息(Channel State Information, CSI)不理想导致的通信系统安全性能恶化问题,该文提出一种鲁棒的人工噪声辅助的物理层安全发送方法。该方法基于非理想的协方差信道信息,对发送者的波束成形向量及人工噪声协方差进行联合优化设计,从而最大化系统的最差情况安全速率(Worst-Case Secrecy Rate, WCSR)。该功率受限的安全速率最大化问题是非凸的,采用半定松弛(SemiDefinite Relaxation, SDR)技术和Lagrange对偶理论将其转化为一系列的半定规划(SemiDefinite Program, SDP)问题进行求解。仿真结果表明,与现有方案相比,所提方法的安全性能有了明显的提升。     

LAS Detector with Soft-Output MMSE Initialization Under Imperfect Channel Estimation and Channel Correlation

Wireless Personal Communications - This paper proposes a modified likelihood ascent search (LAS) algorithm for multiple-input multiple-output (MIMO) systems under correlated channel and imperfect...     

Transmit Antenna Selection with Optimum Combining for Aggregate Interference in Cognitive Underlay Radio Network

Transmit antenna selection (TAS) is most popular technique in underlay cognitive radio (CR) networks as they increase the capacity of secondary users with less hardware requirements. In this paper, a new scenario of CR ad-hoc network topology is proposed in which apart from primary users, there are multiple number of secondary users which are assumed to be distributed as homogeneous spatial Poisson point process (PPP) and are trying to use the primary spectrum in underlay mode. These multiple secondary transmitters generate the aggregate interference and can degrade the performance of secondary receiver. Here this aggregate interference is estimated and its impact on performance of secondary receiver under unconstrained mode of operation is presented. Further, to enhance the performance of secondary receivers in this scenario, single TAS technique based on maximizing the received signal to interference noise ratio by using optimum combining (OC) method is proposed. Furthermore, in this work the design of end to end Simulink based environment for secondary trans–receiver system with advancements in channel design and estimation is proposed. The bit error rate (BER) analysis is presented and verified for image data for single TAS-OC technique for unconstrained mode in underlay CR network in Rician fading channel. The BER performance is also presented for different number of secondary interference sources which are located at fixed distance in one case and they are assumed to be distributed as PPP in another case.     

非理想状态信息下SC-FDMA上行链路的信道调度

信道依赖调度(CDS)通过在信道里使用多用户分集和频率选择性来增加蜂窝系统的数据吞吐量,主要研究非理想信道状态信息(CSI)对CDS的影响。具体来说,当CSI有反馈延时,分析具有未编码自适应调制及CDS的上行链路单载波频分多址(SC-FDMA)系统的数据吞吐量。频域资源分配采用集中式和分布式的子载波映射方案。通过仿真可以看到在应用CDS时,集中式的子载波映射产生最高的总数据吞吐量,然而,当信道迅速变化时,集中式映射对CSI的质量以及信道容量增益的迅速减少非常灵敏。对于高机动性的用户来说,具有静态轮询调度方案的分布式映射更加合适。     

非精确信道信息下的自适应MIMO-OFDM系统性能分析

由于自适应多入多出正交频分复用系统(MIMO-OFDM)可以大大提高系统的频谱效率,已经成为人们研究的热点,该文分析并讨论了自适应MIMO-OFDM系统中导致非精确信道信息的两个主要因素信道估计误差和信道信息时延对系统的频谱效率和误码率性能的影响。仿真结果表明,在22 MIMO-OFDM系统中,当信道估计误差小于-12dB时,系统频谱效率损失很小。此外信道预测可以大大降低系统对信道信息时延的敏感程度。     

一种改进的非理想信道估计下MC-CDMA预均衡方法

文中分析了MC-CDMA下行传输系统在非理想信道估计下MMSE预均衡性能恶化的原因,提出一种改进的MMSE预均衡方法.相对于传统MMSE预均衡,改进的MMSE预均衡方法可以抑制信道估计误差对MC-CDMA下行传输的性能影响.研究结果表明,这种改进的预均衡可以消除信道估计误差带来的误比特率信噪比增加而增加的反常现象.     

Beamforming in Dual-Hop AF Relaying with Imperfect CSI and Co-channel Interference

This letter studies the joint effects of imperfect channel state information (CSI) and co-channel interference (CCI) on a dual-hop variable gain amplify-and-forward (AF) relay network with beamforming. The source and destination are both equipped with multiple antenna, while the relay has a single antenna. Specifically, the analytical expressions for the outage probability and average symbol error rate of the considered AF relaying are derived. Moreover, the asymptotic analysis at high SNR is also presented to reveal the diversity order and array gain of the relay system. Finally, computer simulations are given to confirm the validity of the proposed theoretical analysis and quantify the combined influence of imperfect CSI and CCI on the system performance.     

Security Performance Analysis of Underlay Cognitive Networks with Helpful Jammer Under Interference from Primary Transmitter

Mobile Networks and Applications - Interference from primary transmitters in underlay cognitive networks is practically neither neglected nor integrated into noise terms although most literature...