Stochastic optimization in cooperative relay networks for revenue maximization

In cellular networks, cooperative relaying is an economic and promising way to enlarge the network capacity and coverage. In the case that multiple users and multiple relays are taken into account, efficient resource allocation is important in such networks. In this paper, we consider the joint relay power control with amplify- and-forward （AF） strategy and dynamic pricing for uplink cellular networks in order to maximize the network administrator＇s system revenue. The system revenue is associated with pricing strategies and mobile users＇ random data request, which is supported by the relay assisted transmission. To deal with the problem of the coupling in pricing and relay resource allocation, we utilize Lyapunov optimization techniques to design online pricing and relay power control without any statistic information of random events in networks. Theoretical analysis shows that the proposed algorithm can achieve a near-optimal performance and simulation results also validate its effectiveness and robustness.     

Joint optimization of spectral and energy efficiency for multi-pair full-duplex two-way relay networks with imperfect channel state information

An iterative algorithm is proposed for jointly optimizing spectral and energy efficiency in a multipair full-duplex (FD) two-way relaying (TWR) system with imperfect channel state information (CSI). Based on Dinkelbach method, a Taylor expansion based approximation method and the Generalized Lagrange Multiplier Method have been applied iteratively to obtain the near optimal relay amplified matrix and power allocation, respectively. And the simulation results illustrate the effectiveness of the proposed algorithm and the algorithm can converge quickly.     

安全双向中继通信中友好干扰节点的功率分配

研究了具有一组友好干扰节点辅助的双向中继网络中的安全传输问题,考虑了中继节点不可信为窃听节点和中继节点可信而存在其他窃听节点的两种情况下,友好干扰节点的功率分配问题.目的是设计友好干扰的最优功率分配方案,在友好干扰节点的功率消耗最小的情况下,达到双向中继系统的通信质量和通信安全性要求.本文为两种情形下的友好干扰节点功率分配问题分别建立了最优化模型,并证明了两个问题均属于线性规划问题.仿真结果表明,本文所设计友好干扰节点功率分配方案,能够在保证双向中继系统的通信质量和通信安全性前提下,使得友好干扰节点的总功率最小.     

Capacity and QoS based codebook construction for MIMO precoded spatial multiplexing systems with limited feedback

This paper deals with the design and performance analysis of transmit precoder optimization for multiple input multiple output (MIMO) systems with limited feedback of channel state information. A capacity criterion based optimal codebook construction algorithm for MIMO precoded spatial multiplexing systems is pre-sented. The optimal precoder structure combining precoding and power allocation is employed. Simulation results show that the capacity criteria based codebook can achieve higher capacity than that of equally power allocation based codebook of previous research.     

MIMO双向中继网络的预编码设计与功控策略

为加强MIMO双向中继系统的空间复用增益,研究一种低复杂度的发送和接收预编码矩阵.利用子空间对齐方法,将双向MIMO信道分解为多路单入单出（SISO）的子信道形式,使得两个源用户能够使用网络编码获取更好的空间复用增益.同时通过矩阵计算和转化,给出了一种优化的功率分配方案.在确定优化矩阵后,该方案能够为每个子信道独立地进行优化功率分配,并且能够得到各节点间优化功率分配的闭合表达式,从而将算法复杂度从O（n3）降低为O（n）.仿真结果表明,在典型场景下,所提方案在具有更低复杂度的优势下,系统性能接近优化的梯度下降迭代方案,优于传统单纯前向放大转发方式（AF） ,有2.99 bit/（sHz）的性能增益.      

An Iterative Power Allocation Algorithm for Group-wise Space-Time Block Coding Systems

An iterative transmit power allocation (PA) algorithm was proposed for group-wise space-time block coding (G-STBC) systems with group-wise successive interference cancellation (GSIC) receivers. Group-wise interference suppression (GIS) filters are employed to separate each group's transmit signals from other interferences and noise. While the total power on all transmit symbols is constrained, all transmit PA coefficients are updated jointly according to the channel information at each iteration. Through PA, each detection symbol has the same post-detection signal to interference-and-noise ratio (SINR). The simulation results verify that the proposed PA algorithm converges at the equilibrium quickly after few iterations, and it achieves much lower bit error rates than the previous single symbol SIC PA and the fixed ratio PA algorithms for G-STBC systems with GSIC receivers .     

基于联合迭代译码的LDPC编码协作系统

为提高系统性能,提出了分别采用正规LDPC(low-density parity-check code)和非正规系统LDPC码的编码协作通信系统,并给出了用于源节点和中继点的双LDPC码的构造方法.导出了基于双LDPC码的总体校验矩阵,据此校验矩阵给出了相应的双层结构Tanner图,目的点采用基于该双层结构Tanner图的联合迭代译码新算法译码.理论分析和数值模拟表明,在相同条件下,理想LDPC编码协作系统的性能明显优于编码非协作系统的性能,当误比特率为10-5、译码迭代10次时,理想正规LDPC码和非正规系统LDPC码编码协作系统较相应的编码非协作系统分别具有1.0和0.6 dB增益.     

General precoder design for mitigation of intercarrier interference in OFDM mobile systems

For orthogonal frequency-division multiplexing （OFDM） communication systems, the frequency offset in mobile radio channels distorts the orthogonality between sub-carriers, which results in Intercarrier Interference（ICI） and seriously degrades the performance of systems. Based on ICI coefficients analysis, a novel preceder design scheme is proposed for mitigation of ICI. In this technique, preceder matrix is designed by the way of linear counteraction and inserted in the former transmitter signal. Computer simulation results show that this new scheme can effectively reduce ICI and significantly provide the carrier-interference power ratio improvement. Compared with existing ICI mitigation schemes with channel estimation, the proposed scheme has lower computational complexity, and compared with self- cancellation scheme, the bandwidth efficiency can be improved in this proposed scheme. The proposed scheme also has better convergence stability for time-varying frequency selective fading channel.     

A Novel Iterative Receiver Based on Extrinsic Information Update for MIMO Systems

A novel iterative receiver for multiple input multiple output (MIMO) systems was introduced. Its basis concept is that the reliability of extrinsic information will be strengthened with continuous iterations. Extrinsic information of present iteration is added with prior information of last iteration to obtain performance gain. The simulation results show that the improved iterative receiver can approach the 5th iteration performance of conventional soft interference cancellation (SIC)-minimum mean square error (MMSE) iterative receiver after the 2nd iteration with less computational complexity. Compared with conventional iterative receiver, the improved iterative receiver has 1dB performance gain at bit error rate (BER) of 10~ -5 , with four transmit antennas and four receive antennas system.     

Improved List Sphere Decoder for Multiple Antenna Systems

An improved list sphere decoder （ILSD） is proposed based on the conventional list sphere decoder （LSD） and the reduced- complexity maximum likelihood sphere-decoding algorithm. Unlike the conventional LSD with fixed initial radius, the ILSD adopts an adaptive radius to accelerate the list cdnstruction. Characterized by low-complexity and radius-insensitivity, the proposed algorithm makes iterative joint detection and decoding more realizable in multiple-antenna systems. Simulation results show that computational savings of ILSD over LSD are more apparent with more transmit antennas or larger constellations, and with no performance degradation. Because the complexity of the ILSD algorithm almost keeps invariant with the increasing of initial radius, the BER performance can be improved by selecting a sufficiently large radius.     

PIC-MF-based Iterative Receiver for Multiuser Space Frequency Block Coding Systems

A novel low-complexity iterative receiver for multiuser space frequency block coding (SFBC) system was proposed in this paper. Unlike the conventional linear minimum mean square error (MMSE) detector, which requires matrix inversion at each iteration, the soft-in soft-out (SISO) detector is simply a parallel interference cancellation (PIC)-matched filter (MF) operation. The probability density function (PDF) of PIC-MF detector output is approximated as Gaussian, whose variance is calculated with a priori information fed back from the channel decoder. With this approximation, the log likelihood ratios (LLRs) of transmitted bits are under-estimated. Then the LLRs are multiplied by a constant factor to achieve a performance gain. The constant factor is optimized according to extrinsic information transfer (EXIT) chart of the SISO detector. Simulation results show that the proposed iterative receiver can significantly improve the system performance and converge to the matched filter bound (MFB) with low computational complexity at high signal-to-noise ratios (SNRs).     

基于负载均衡的OFDMA双跳中继网络资源分配策略

为适应蜂窝小区内不同的用户分布,针对基于正交频分多址接入技术的双跳中继网络,提出了一种基于负载均衡的资源分配策略.考虑难以得到联合分配的最优解,在降低计算复杂度的前提下,采用分步式次优化分配.采用比例公平算法对子载波进行分配,并用数学建模的方法解决功率分配问题;根据凸规划和注水算法确定功率分配最优解需满足的条件,在逼近最优解的目标下,求得基站和中继站的发射功率.仿真分析结果表明,与传统的静态资源分配策略相比,提出的基于负载均衡的资源分配策略可以适应不同的用户分布和信道条件,系统吞吐率提高7.8%以上.      

Robust optimization for the correlated MIMO downlink with imperfect channel state information

To reduce the performance deterioration induced by imperfect channel state information (CSI) in cor-related multiple input multiple output(MIMO) downlink, the linear transmit/receive filters should be optimized to be robust to imperfect CSI. A sub-optimization algorithm based on minimizing sum MSE conditional on available imperfect CSI estimates subject to a per-user power constraint is proposed. The algorithm adapts the existing MMSE algorithm from uncorrelated single-user MIMO system with perfect CSI to correlated MIMO downlink with imperfect CSI. Simulation shows that the suboptimal algorithm can effectively mitigate the performance loss induced by imperfect CSI and has a good convergence performance. In addition, the effect of spatial correlation on the performance of the proposed algorithm is also simulated.     

Relay Selection and Power Allocation in Amplify-and-Forward Cognitive Radio Networks: A Special Spectrum Sharing Scheme

In this paper, we present a special spectrum sharing scheme that is a joint optimization of relay selection and power allocation at the secondary transmitter, where the primary user is incapable of supporting its target signal-to-noise ratio(SNR). Specifically, the selected secondary transmitter assists the primary user with achieving its target SNR via two-phase cooperative amplify-and-forward relaying. By searching for the candidate secondary transmitters which have already satisfied the primary user's target SNR, we can select the optimal secondary transmitter. This optimal secondary transmitter not only satisfies the primary user's target SNR,but also maximizes the throughput of the secondary user. We study this joint optimization problem such that the secondary user's throughput is maximized under the constraint that satisfies the primary user's target SNR.Numerical results show that our scheme can maximize the throughput of the secondary user, and can obtain the win-win solution for the primary and secondary systems.     

一种民航旅客社会网络关系分类算法

针对民航领域对旅客关系分类的需求，以旅客社会网络为背景，在当前存在的社会网络关系分类算法的基础之上，结合民航社会网络数据特征，提出了一种基于网络的关系类型迭代修正分类模型，设计了一个适用于民航领域的两阶段旅客关系分类算法．通过在真实的民航旅客社会网络数据集上进行的对比实验，验证了算法的有效性．     

A HOS-based blind signal extraction method for chaotic MIMO systems

A novel method to extract multiple input and multiple output （MIMO） chaotic signals was proposed using the blind neural algorithm after transmitting in nonideal channel. The MIMO scheme with different chaotic signal generators was presented. In order to separate the chaotic source signals only by using the sensor signals at receivers, a blind neural extraction algorithm based on higher-order statistic （HOS） technique was used to recover the primary chaotic signals. Simulation results show that the proposed approach has good performance in separating the primary chaotic signals even under nonideal channel.     

求解双障碍问题的一个内点迭代算法

介绍一种解决双障碍问题的迭代算法,该算法称之为内点迭代算法. 首先将原问题转化为等价非光滑方程组,然后构造新的光滑函数来逼近非光滑方程组. 文中证明了惩罚参数可能需要修正有限次情形下算法的全局收敛性和超线性收敛性. 经数值实验表明,该算法是有效的.     

震后恢复期物资配送中的多周期选址-联运问题

震后恢复期的物资配送是一项复杂的系统工程,针对震后恢复期两级救援物资 配送系统中的多品种物资、多运输方式、多周期决策等特征,提出了一个以系统总费用最 小为目标的混合整数线性规划模型,用以解决震后恢复期救援物流系统中的选址-联运 问题.针对该模型的特点,设计了一种结合启发式规则的分周期、分阶段解码的混合遗传 算法. 以“5.12”汶川大地震恢复期救援物资保障过程构建算例,对该模型和算法进行了实 例验证. 结果表明,该算法具有较好的性能,可以有效解决震后恢复期物资配送中的多周 期选址-联运问题.     

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随着城市机动车保有量的飞速增长,油气资源的短缺问题日益严重,如何采取有效措施减少能源消耗是一个值得深入研究的问题。用双层规划思想建立先进出行者信息系统和油耗的最优速度确定的优化模型。在此模型中,上层规划是通过系统总出行时间和油耗总量确定最优速度的问题,下层问题是在一定速度条件下考虑先进出行者信息系统影响的出行道路选择行为,构造了弹性需求条件下的随机用户平衡配流模型,并给出了一个平衡迭代算法进行求解。最后用了一个简单的算例,对模型的求解算法进行了验证。研究结果显示,随着出行者对道路实际情况认识程度的降低,可以通过提高装备ATIS设备的出行者比率,使得出行者能够合理地进行路径选择,从而降低系统总费用。     

A novel approach to design robust fault detection filter for networked control systems

In this paper, an approach for designing robust fault detection filter (RFDF) of networked control systems (NCSs) with unknown inputs is studied. The design aims at implementing the optimal trade-off between robustness of unknown inputs (including the item produced by networked-induced delay) and sensitivity of fault. The key design issue is to introduce an optimal fault detection filter based on NCSs with the control law compensation as the reference residual model of NCSs and to formulate the RFDF design as a model-matching problem. By applying H _∞ optimization technique, linear matrix inequality (LMI) approach is given to solve the model-matching problem. The validity of the proposed approach is shown by a numerical example.