相关Nakagami衰落分集信道仿真与分析

针对传统Nakagami衰落仿真方法难以提供精确互相关性的问题,提出一种适用于不同支路功率和衰落系数的相关Nakagami衰落信道仿真模型。证明了Nakagami和Gamma随机变量相关系数的内在联系,利用相关Gamma变量的均方根获得相关Nakagami衰落,推导了该模型输出幅值分布的误差表达式。仿真结果表明:该模型实现简单,仿真输出衰落幅值、相位分布与理论值吻合,互相关性能优于传统模型;其中第1支路通常由单个Gamma变量直接产生,仿真输出衰落的分布误差为0。

基于信道分集技术的多重描述编码方案

针对无线环境中基于信息包信道分集技术的多重描述编码进行了研究.在比较了多重描述编码(multipledescriptioncoding,简称MDC)和分层编码(layercoding,简称LC)的性能特点并总结了它们各自的优点与不足之后,提出一种能有效结合两者长处的新的编码方法——自动恢复的多重描述编码(auto-resilientmultipledescriptioncoding,简称ARMDC)方案.ARMDC既能够像通常的MDC一样使每个成功到达的数据包都提供有效信息,也能像LC一样优先传送某一重要的描述,保证基本的视频质量,且解码端接收到的ARMDC码流可以进行周期性的自动恢复,无须等待源端接收到反馈信息后再作出反应.在仿真的3G无线信道上分别传送ARMDC,MDR(multipledescriptionwithrestart)以及不使用LC和MDC的码流,比较其各自的错误恢复性能.实验结果显示,使用ARMDC的视频流在序列解码后有着更好的R-D性能.同时,由于视频序列相邻的帧之间质量较平滑,也获得了更好的主观性能.此研究成果可以应用于无线媒体流业务与无线会话业务中的视频传输系统,对于研究基于易出错时变信道的多媒体传输的同行具有一定的参考价值.

一种用于信道分集性能研究的新方法

对于无线通信系统来说,信道分集是实现可靠通信、提高通信性能的有效方法。目前,分集复用折衷性能是衡量不同信道分集技术性能的常用方法,该法仅适应于高信噪比情况。本文基于信道分集因子统计特性从一个新的角度对信道分集进行了研究,针对传统信道分集技术提出了一种新的信道分集性能研究方法,理论分析及仿真结果表明方法是有效的。

一种适用于多场景的窄带LMS信道模型

针对现存陆地移动卫星(land mobile satellite,LMS)信道模型使用场景有限及状态持续时间概率密度函数(state duration probability density function,SDPDF)不精确问题,提出能准确有效地描述更多操作场景的窄带LMS信道模型.利用对数正态分布近似SDPDF的Semi-Markov链实现状态序列.在每一状态内结合传播参数生成服从Loo分布的载噪比时间序列.通过在慢衰落成分中引入多普勒频移以增加参数数据库及扩展适用场景.研究不同场景下状态概率、载噪比时间序列的一阶统计特性和90%信号有效性所需的余量,并与实测值比较.研究结果表明:该模型能在多场景下有效地代表阴影条件,且在不同信道环境中的各仰角和方位角下具有较好适用性,可用于系统性能分析.

A maximum-independent-set-based channel allocation algorithm for multi-channel wireless networks

A channel allocation algorithm based on the maximum independent set is proposed to decrease network conflict and improve network performance. First, a channel allocation model is formulated and a series of the maximum independent sets （MISs） are obtained from a contention graph by the proposed approximation algorithm with low complexity. Then, a weighted contention graph is obtained using the number of contention vertices between two MISs as a weighted value. Links are allocated to channels by the weighted contention graph to minimize conflicts between independent sets. Finally, after channel allocation, each node allocates network interface cards （NICs） to links that are allocated channels according to the queue lengths of NICs. Simulations are conducted to evaluate the proposed algorithm. The results show that the proposed algorithm significantly improves the network throughput and decreases the end to end delay.

Frequency Diversity for OFDM Mobile Communication via Underwater Acoustic Channels

The major constraint on the performance of orthogonal frequency division multiplexing （OFDM） based underwater acoustic （UWA） communication is to keep subcarriers orthogonal. In this paper, Doppler estimation and the respective compensation technique along with various diversity techniques were deliberated for OFDM-based systems best suited for underwater wireless information exchange. In practice, for mobile communication, adjustment and tuning of transducers in order to get spatial diversity is extremely difficult. Considering the relatively low coherence bandwidth in UWA, the frequency diversity design with the Doppler compensation function was elaborated here. The outfield experiments of mobile underwater acoustic communication （UWAC） based on OFDM were carried out with 0.17 bit/（s-Hz） spectral efficiency. The validity and the dependability of the scheme were also analyzed.

BLIND CHANNEL ESTIMATION IN DELAY DIVERSITY FOR FREQUENCY SELECTIVE CHANNELS

Delay diversity is an effective transmit diversity technique to combat adverse effects of fading. Thus far, previous work in delay diversity assumed that perfect estimates of current channel fading conditions are available at the receiver and training symbols are required to estimate the channel from the transmitter to the receiver. However, increasing the number of the antennas increases the required training interval and reduces the available time with in whichdata may be transmitted. Learning the channel coefficients becomes increasingly difficult for the frequency selective channels. In this paper, with the subspace method and the delay character of delay diversity, a channel estimation method is proposed, which does not use training symbols. It addresses the transmit diversity for a frequency selective channel from a single carrier perspective in the form of a simple equivalent flat fading model. Monte Carlo simulations give the performance of channel estimation and the performance comparison of our channel-estimation-based detector with decision feedback equalization, which uses the perfect channel information.

Performance of M-QAM, M-DPSK and M-PSK with MRC diversity in a Nakagami-m fading channel

The nature of a wireless communication channel is very unpredictable. To design a good communication link, it is required to know the statistical model of the channel accurately. The average symbol error probability(ASER) was analyzed for different modulation schemes. A unified analytical framework was presented to obtain closed-form solutions for calculating the ASER of M-ary differential phase-shift keying(M-DPSK), coherent M-ary phase-shift keying(M-PSK), and quadrature amplitude modulation(QAM) over single or multiple Nakagami-m fading channels. Moreover, the ASER was estimated and evaluated by using the maximal ratio-combining(MRC) diversity technique. Simulation results show that an error rate of the fading channel typically depends on Nakagami parameters(m), space diversity(N), and symbol rate(M). A comparison between M-PSK, M-DPSK, and M-QAM modulation schemes was shown, and the results prove that M-ary QAM(M-QAM) demonstrates better performance compared to M-DPSK and M-PSK under all fading and non-fading conditions.

Identification of Telecom Operators' Core Distribution Channels Based on Strategic Value Evaluation System

The strategic value evaluation ofphysical channels is the main purpose of thispaper.To interpret this value,we refine finance,location and competition dimensions.Atotal of 166 social high-star channels are selected as empirical samples.Practice showsthat all second-layer indicators can be quantified by information system or artificial collection.The weight of three first-layer indicatorscan be defined by correlation analysis.The valuecomprehensive ranking of the channels is clearbased on the first-layer and second-layer indicators.In the sample group in this study,theweight of location value is higher.The resultson channels' strategic value research may provide further insights on business value,servicevalue and other related fields.

Performance Evaluation of Antenna Receive Diversity in SlMO-OFDM System over Rayleigh Fading Channel

This paper represents a comparative performance evaluation of different diversity combining techniques for a SIMO-OFDM （single-input-multiple-output orthogonal frequency division multiplexing） system over Rayleigh fading channel. OFDM is a key technique for achieving high data rates and spectral efficiency requirements for wireless communication systems. But in scattering environment, the system performances are severely degraded by the effects of multipath fading and inter-symbol interference. In wireless communication systems, antenna diversity is an important technique to combat multipath fading in order to improve the system performance and increase the channel capacity. In this paper, the performance of different diversity combining techniques-SC （selection combining）, EGC （equal gain combining） and MRC （maximal ratio combining） has been analyzed and compared in terms of SNR （signal to noise ratio） and BER （bit error rate） probability. The simulation results show that the maximal ratio combining technique provides maximum performance improvement relative to all other combining schemes by maximizing the SNR of SIMO-OFDM system at the combiner output. The analytic expressions of error probability and effective bit energy to noise ratio correlated with BPSK （binary phase shift keying） modulation have been derived and formulated for N-branch SC, EGC and MRC schemes. The BER characteristics for all three combining techniques are simulated in MATLAB （matrix laboratory） tool box for varying bit energy to noise ratio. Our results also derives that SNR can be improved if the number of receiving antenna is increased, which in turn reduces BER over a Rayleigh fading channel.

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.