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.     

Robust ergodic rate transmission for time division duplex beamforming systems

In time division duplex(TDD)beamforming systems,the base station estimates the channel state information(CSI)at transmitter based on uplink pilots and then uses it to generate the beamforming vector in the downlink transmission.Because of the constraints of the TDD frame structure and the uplink pilot overhead,there inevitably exists CSI delay and channel estimation error between CSI estimation and downlink transmission channel,which would degrade system ergodic rate.In this paper,we propose a robust ergodic rate transmission scheme,in which the uplink pilot time interval(UPTI)of an active user is adaptively adjusted according to the changing channel conditions such as Doppler frequency shift,uplink pilot signal to noise ratio(SNR),to minimize the impact of CSI delay and channel estimation error on the ergodic rate of TDD beamforming systems.In order to get the optimal UPTI,we first derive the average post-processing SNR for TDD beamforming systems with channel estimation error and CSI delay.We then obtain the optimal UPTI,which maximizes the average post-processing SNR,given the normalized pilot overhead(the number of pilot symbols per data symbol).The numerical simulation results validate that the the proposed robust ergodic rate transmission scheme not only maximizes the average post-processing SNR but also maximizes the system ergodic rate.Moreover,the scheme can adapt well to the changing channel environments compared with the current fixed UPTI scheme.Especially our research is valuable for the uplink sounding reference signal design in long term evolution advanced(LTEAdvanced)system.     

Joint Tomlinson-Harashima source and linear relay precoder design in amplify-and-forward multiple-input multiple-output two-way relay systems

Existing minimum-mean-squared-error (MMSE) transceiver designs in amplified-and-forward (AF) multiple-input multiple-output (MIMO) two-way relay systems all assume a linear precoder at the sources. Nonlinear source precoders in such a system have not been considered yet. In this paper, we study the joint design of source Tomlinson-Harashima precoders (THPs), relay linear precoder and MMSE receivers in two-way relay systems. This joint design problem is a highly nonconvex optimization problem. By dividing the original problem into three sub-problems, we propose an iterative algorithm to optimize precoders and receivers. The convergence of the algorithm is ensured since the updated solution is optimal to each sub-problem. Numerical simulation results show that the proposed iterative algorithm outperforms other algorithms in the high signal-to-noise ratio (SNR) region.     

A Reduced Complexity Time-Delay Tracking and Channel Estimation for OFDM Systems

Introduction OFDM[1]is a special case of multicarrier trans-mission, where a single datastream is transmittedover a number of orthogonal subcarriers. Becausethe symbol duration increases for the lower rateparallel subcarriers, the relative amount of disper-sion in time caused by multipath delay spread is de-creased. Intersymbol interference is eliminated al-most completely by introducing a guard time in ev-ery OFDM symbol. Due to these advantages,OFDM is widely exploited for the communica…     

Random Channel Allocation Scheme for SDMA Systems

A random allocation scheme for SDMA systems is proposed with a goal of more efficient dynamic allocation. Based on theoretical analysis and derivation, the blocking probability of the proposed scheme is calculated and compared with those of the ftrst duplicate （FD） and duplicate last （DL） schemes with different state-independent probabilities （p,） of acquring a dupicate channel suecessfully and 5 resources; moreover, a more realistic performance analysis of the random scheme is made with state-dependent ps in the SDMA/CDMA environment. The results show that the random scheme has a similar allocation pefformace to the FD and DL schemes, but is simpler than them in computation and scheduling.     

Dynamic Channel Allocation in Sectored Cellular Systems

It is known that dynamic channel assignment(DCA) strategy outperforms the fixed channel assignment(FCA) strategy in omni-directional antenna cellular systems. One of the most important methods used in DCA was channel borrowing. But with the emergence of cell sectorization and spatial division multiple access(SDMA) which are used to increase the capacity of cellular systems, the channel assignment faces a series of new problems. In this paper, a dynamic channel allocation scheme based on sectored cellular systems is proposed. By introducing intra-cell channel borrowing (borrowing channels from neighboring sectors) and inter-cell channel borrowing (borrowing channels from neighboring cells) methods, previous DCA strategies, including compact pattern based channel borrowing(CPCB) and greedy based dynamic channel assignment(GDCA) schemes proposed by the author, are improved significantly. The computer simulation shows that either intra-cell borrowing scheme or inter-cell borrowing scheme is efficient enough to uniform and non-uniform traffic service distributions.     

Performance Analysis of Schemes in Fixed Two Frequency Reuse Relay Systems

An upsurge of interest in relay-augmented infrastructure-based networks has appeared in recent years. Radio resource management in such relay systems has great influence on the system performance. How to utilize the limited frequency resources efficiently in the system is a hot research topic. In this paper, performance of frequency reuse schemes has been studied in fixed relay systems. A novel scheme is achieved by modifying an existing one. Theoretical model is proposed for the performance analysis of two schemes. Both the theoretical analysis and simulation results show that the modified scheme outperforms the existing one not only in power consumption of mobile stations but also in cell carrier-to-interference ratio coverage.     

Performance Analysis of Two Frequency Reuse Schemes in Fixed Relay Systems

An upsurge of interest in relay-augmented infrastructure-based networks has appeared in recent years.Radio resource management in such relay systems has great influence on the system performance. How to utilize the limited frequency resources efficiently in the system is a hot research topic. In this paper, performance of frequency reuse schemes has been studied in fixed relay systems. A novel scheme is achieved by modifying an existing one. Theoretical model is proposed for the performance analysis of two schemes. Both the theoretical analysis and simulation results show that the modified scheme outperforms the existing one not only in power consumption of mobile stations but also in cell carrier-to-interference ratio coverage.     

A new channel allocation scheme for hierarchical wireless networks

A channel allocation scheme for hierarchical wireless networks was proposed in terms of the connection-level quality of service. The channel allocation scheme was analyzed using both horizontal channel borrowing and vertical traffic overflowing. Pre-emptive priority strategies are used to classify real-time services and non-real-time services, real-time service is given higher priority for it is allowed to pre-empt channels used by non-real-time service. Some channel borrowing thresholds and acceptance ratios are used to avoid channel locking or dynamic power control, which can also be dynamically adjusted according to network load. Simula-tion results show that the proposed schemes can improve the system performance.     

基于OFDM的DF中继网络能效最优路径选择策略

针对三节点解码转发(DF)中继OFDM (orthogonal frequency division multiplexing)网络,提出一种能效最优路径选择策略.通过将中继链路衰落值和直传链路衰落值转化为等效路径损耗值,给出了一种基于等效路径损耗指数的能效最优路径选择准则,并分析了电路功率消耗、带宽、速率需求以及信道条件等因素在路径选择时对系统能效的影响.仿真结果表明,能效最优路径与链路速率需求、传输带宽以及信道条件有关,并满足能效最优路径判决准则,当基站(BS)和用户(MS)间距离为610 m,速率等于5和6 Mbit/s时,本文方案的能效比最大调和信道增益路径选择方案分别提高11.8%和40.5%.      

基于BP神经网络的模型参考自适应控制

基于BP神经网络的误差反向传播机制,探讨了建立在BP神经网络基础上的模型参考自适应控制方法。该方法用2个BP神经网络分别作辨识器和控制器,其中辨识器兼作间接传递误差的通道,从而解决了控制器权值的修正问题。仿真结果表明, 经过学习控制结构具有较好的有效性。     

An range-free localization scheme for large scale underwater wireless sensor networks

In this paper, we study an area localization problem in large scale underwater wireless sensor networks (UWSNs). The limited bandwidth, the severely impaired channel and the cost of underwater equipment all make the underwater localization problem very challenging. Exact localization is very difficult for UWSNs in deep underwater environment. We propose a range free method based on mobile detachable elevator transceiver (DET) and 3D multi-power area localization scheme (3D-MALS) to address the challenging problem. In the proposed scheme, the ideas of 2D multi-power area localization scheme (2D-ALS) and utilizing DET are used to achieve the simplicity, location accuracy, scalability and low cost performances. The DET can rise and get down to broadcast its position. And it is assumed that all the underwater nodes underwater have pressure sensors and know their z coordinates. We evaluate the performances of 2D-ALS and our proposed 3D-MALS schemes under both ideal and non-ideal channel propagation conditions, in terms of localization error and localization ratio. The simulation results show that our proposed scheme is much more efficient than the 2D-ALS.     

Pre-emptive channel borrowing and traffic overflowing channel allocation scheme for multimedia overlay networks

This paper proposes a channel allocation scheme for multimedia wireless networks, in which a twolayer macro-cell or micro-cell architecture is considered. Macro-cells are used to access high-mobility services; while micro-cells, which are overlaid by the macro-cells, are used to cater low-mobility services. To analyze the scheme, a multidimensional Markov traffic model is firstly developed, in which traffic characteristic of two special periods of time is considered. And then, a pre-emptive channel-borrowing scheme combined with trafficoverflowing strategy for multimedia (voice, video or data) networks is proposed, in which handoff requests can not only borrow channels from adjacent homogenous cells, but also be overflowed to heterogeneous cells. Priority strategies are also dedicated to high-mobility services for they can pre-empt channels being used by low-mobility services in macro-cells. To meet the high quality of service (QoS) requirements of video services and increase the channel utilization ratio, video services can be transformed between real-time services and non-real-time services as necessary. Simulation results show that our schemes can decrease the blocking probabilities and improve the channel utilization.     

STC-OFDM系统的post-IDFT多波束形成技术

提出了适用于空时编码-正交频分复用(OFDM)系统的后-逆离散傅立叶变换(post-IDFT)多波束形成技术.该技术通过对空频信道相关矩阵进行特征分解获得多个特征模式,再利用空时分组码(STBC)各发射分支信号的正交性使OFDM系统形成多个post-IDFT波束.接收端根据STBC传输矩阵的正交性对多波束解码.系统获得的空间分集增益为空频信道相关矩阵的特征值之和,最大空间分集增益与子载波波束形成方案相同,误码率比STC-OFDM的低.该技术将复杂度降低到子载波波束形成方案的1/S(S为OFDM系统的子载波数目),而且当波束维数(m)小于发射天线数目(M)时,可进一步减少M-m个IDFT模块     

Optimal training design and placement for MIMO orthogonal frequency division multiplexing channel estimation

This paper deals with optimal training design and placement over multiple orthogonal frequency division multiplexing(OFDM) symbols for the least squares(LS) channel estimation in multiple-input multipleoutput(MIMO) OFDM systems.First,the optimal pilot sequences over multiple OFDM symbols are derived by co-cyclic Jacket matrices based on the minimum mean square error(MSE) of the LS channel estimation.Then,an enhanced channel estimation method using sliding window is proposed to improve further the performanc...     

Switching between antenna subset selection and quasi-orthogonal space-time block code in presence of correlation

We address the problem of adaptive modulation and coding scheme (AMCS) for a multi-input multioutput (MIMO) system in presence of time-varying transmitting correlation. Antenna subset selection and quasiorthogonal space-time block code (QOSTBC) have different error performances with different signal-to-noise ratios (SNRs) and in different spatial correlation scenarios. The error performance can be improved by selecting an appropriate transmission scheme to adapt to various channel conditions. The maximum distance criterion is the simplest and very effective algorithm for the antenna subset selection without needs of complex calculation and channel state information at transmitter (CSIT). The minimum error performance criteria and the simplified linear decision strategy are developed for constant transmission rate traffic to select the optimal transmission scheme. It can dramatically decrease algorithm complexity for obtaining error probability according to the known quantities comparing with using instant CSIT. Simulation results show that, remarkable performances including low SNR and weak spatial correlation at the expense of simple calculation and almost no bandwidth loss by adopting AMCS can be achieved. The proposed AMCS improves robustness of slowly varying spatial correlated channels.     

基于双层规划的城市交通拥塞疏导优化研究

为研究城市路网区域信号控制下的交通子区划分及交通拥塞疏导优化问题,明确交通拥 塞控制子区划分影响因素并建立相邻交叉口关联度模型,将拥塞控制区域划分为“疏散区”“平衡 区”。考虑“疏散区”“平衡区”不同的优化目标构建城市路网交通拥塞疏导优化双层规划模型,并 以昆明市部分城市路网作为实验对象,通过仿真将实际控制方案与本文模型计算方案的控制效 果进行对比,以此验证模型的适用性和有效性。仿真结果表明：除两个方案的平均停车次数优化 效果一般以外,其他控制效果指标均具有很大的优化提升,其中车辆平均延误时间降低了7.7 s, 重度拥塞里程比例下降了10.1%,路网车辆占有率下降了14.1%。综上可知,本文的疏导优化模 型控制可快速疏导和有效缓解交通拥塞,模型具有良好的有效性,可为路网交通拥塞分区治理及 疏导控制提供参考。     

基于端到端失真优化的无线视频联合编码方案

在无线视频传输环境端到端失真分析的基础上,针对H.264视频流建立了一种新的端到端失真模型.在使用LDPC信道编码方式与该失真分析模型的基础上,提出了一种基于端到端失真优化的联合信源信道编码方案.该方案根据当前无线信道的信噪比与信道带宽等状态信息,自适应地调节信源编码量化参数和信道编码码率,使端到端失真最小.实验结果表明,与固定码率编码相比,本文提出的联合信源信道编码方案可在不增加带宽的情况下显著提高视频传输质量.     

Joint user and antenna selection for multiuser MIMO downlink with block diagonalization

User selection is necessary for multiuser multiple-input multiple-output (MIMO) downlink systems with block diagonalization (BD) due to the limited free spatial transmit dimensions. The pure user selection algorithms can be improved by performing receive antenna selection (RAS) to increase sum rate. In this paper, a joint user and antenna selection algorithm, which performs user selection for sum rate maximization in the first stage and then performs antenna selection in the second stage, is proposed. The antenna selection process alternately drops one antenna with the poorest channel quality based on maximum determinant ranking (MDR) from the users selected during the first stage and activates one antenna with the maximum norm of projected channel from the remaining users. Simulation results show that the proposed algorithm significantly outperforms the algorithm only performing user selection as well as the algorithm combining user selection with MDR receive antenna selection in terms of sum rate.     

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.