混合ARQ机制的性能分析

高速无线数据服务的需求的增长,要求下一代无线网络显著提高其吞吐量。文章研究了自动重发请求(ARQ)机制,来满足这些新的要求。针对基于速率兼容纠错码的速率自适应I类混合ARQ机制和增量冗余重传II类混合ARQ机制,提出了一种系统框架,并对其在无线瑞利衰落信道上的性能进行了分析。数值结果表明,增量冗余重传(IRR)II类HARQ机制与速率自适应(RA)I类HARQ机制相比,有较高的吞吐量,而RAI类HARQ机制的延迟较小。     

一种基于平均比特互信息的链路性能预测算法

链路性能预测的核心是根据即时信道状态信息,准确地预测通信系统未来的传输差错概率.现有的LTE系统链路性能预测算法没有考虑速率匹配和自适应HARQ过程,因此其实用性受到限制.针对这一现状,本文以具有速率匹配和自适应HARQ通信模块的LTE系统为研究对象,提出了一种基于平均比特互信息的链路性能预测算法.该算法首先充分考虑速率匹配过程中比特重复对互信息的影响,利用符号重复率得到重复比特的解码增益;在此基础上,利用合并重传码块的平均比特互信息计算模型,得到整个系统中的信道编码码块比特平均互信息;最后利用加性高斯白噪声AWGN信道的仿真映射关系得到链路的误块率.仿真结果表明该算法均具有较高的准确性.     

适用于OFDM系统的自适应HARQ机制

介绍多载波系统中,采用Turbo码的混合自动重传请求(HARQ)的差错控制方案,并从易于实现的角度提出了两种基于OFDM的自适应HARQ机制.仿真分析表明,其中基于数据帧全部重传的机制可以提高系统稳健性,而基于数据帧部分重传的机制可以提高系统吞吐率.     

一种适用于车路网的速率自适应算法

车载网衰落信道质量变化频繁,传统速率自适应算法不能选择合适传输速率。为此,提出一种适用于车路网的速率自适应算法。该算法基于发送端的接收信号强度指示(RSSI)预测进行速率选择,即用发送端路边设施测量接收到ACK报文的RSSI值,预测下次传输时的信道质量。模拟结果表明,该算法能提高信道质量预测的准确度,在不同的信道衰落程度下,取得比RBAR算法和SampleRate算法更高的系统吞吐率。     

HARQ和AMC跨层联合的协作系统丢包率分析

为了对抗实际无线信道中多径衰落和更好适应时变的信道状况,在协作通信系统中将链路层HARQ和物理层AMC进行跨层联合.分析了Ⅰ-HARQ、Ⅱ-HARQ、Ⅲ-HARQ三种混合自动重传方案,根据协作系统模型得到系统状态转移图,将协作系统丢包率(PER)转化为链路丢包率,得到了Nakagami-m信道条件下中继接收错误率,依据...     

新型的基于信道状况的自适应HARQ方案

基于信道状况提出自适应的混合自动重传请求（HARQ）方案。充分利用发送端获得的上次成功传输时重传的冗余信息次数和信道估计的信息,判断当前的信道状况,由此确定当前发送的数据帧被成功接收可能需要重传的次数K,将初传信息和K次增量冗余信息一起发送给接收端译码,最大可能地一次性将数据发送成功,减少传输出错再启动重传协议发送增量冗余信息的次数。仿真表明,新的方案在吞吐率基本不变的情况下,传输延时降低,易于实现。     

LTE-A系统中HARQ合并算法的分析与研究

LTE-A标准的目标之一就是为用户提供更高的数据速率,这就对移动通信的可靠性提出了更高的要求,因此引入混合自动重传请求技术(HARQ)就显得很有必要。HARQ技术能够有效降低传输的误码率,提高系统的吞吐性能,提供实时性服务;而HARQ合并算法又对HARQ系统的性能有极大的影响。主要对HARQ合并算法进行仿真分析研究,找出一种性能增益最佳的合并算法。     

一种结合HARQ的MIMO-OFDM自适应传输方案*

设计了一种结合混合自动请求重传（HARQ）的多输入多输出—正交频分复用（MIMO-OFDM）自适应传输方案,通过对子信道的空域和频域二维置换,结合功率调整,利用重传信息和信道状态信息来提高系统性能;考虑到实现的复杂性,给出了方案的简化模型。仿真结果表明,自适应方案可以有效降低重传时的错误率,减少重传次数,同时利用简化模型可以根据系统要求设计合理的折中方案。     

一种基于网络编码的两用户自适应AF协同ARQ方案

提出了一种基于网络编码的两用户自适应放大前传AF协同ARQ(Automatic Repeat reQuest)方案。该方案选择当前信道条件较好的用户采用网络编码方式进行数据重传,能够在一定概率下节省一个重传时隙,并且能够通过协同选择分集的方式对抗衰落以降低误帧率,从而实现数据吞吐率的提升。仿真结果证明,该方案与非协同ARQ及普通AF协同ARQ相比均能够较大地提高各用户的传输吞吐率。     

基于TDD上行CSI的自适应预重传GBN-HARQ方案

针对预重传GBN-ARQ方案在误码率低的情况下吞吐率与时延大大下降的问题, 结合重传编码合并技术, 提出了一种基于TDD上行CSI的自适应预重传GBN-HARQ方案。首先, 发送端将数据进行前向纠错编码得到不同冗余版本; 然后, 根据上行CSI信息对重传分组自适应地选择冗余版本数, 在信道状况较差时一次性传输多个冗余版本以保证预重传的可靠性, 减小由预重传错误所带来的时延性能下降, 在信道状况较好时采用较少冗余以保证较高的吞吐率; 最后, 分析比较了传统GBN-ARQ方案、预重传GBN-ARQ方案和自适应预重传GBN-HARQ方案在不同情况下的吞吐率性能。理论和仿真分析表明, 在误码率大于10^－1时自适应预重传GBN-HARQ方案的吞吐率比传统GBN-ARQ方案提升了0. 1左右, 比预重传GBN-ARQ方案提升了0. 05左右, 在误码率较大的情况下, 基于编码合并技术的自适应预重传GBN-HARQ方案能够更好地保证预重传的可靠性。     

一种多用户MIMO系统中有限反馈预编码算法及性能分析

多用户多输入多输出(MIMO)系统中,用户可以通过反馈的方式把信道状态信息(CSI)传递给基站,基站利用该CSI进行预编码或者用户调度,可以有效地提取复用增益。但是传统的反馈方式,反馈量太大,占用过多上行资源。针对收发都是多天线条件的多用户MIMO系统,提出一种基于Grassmannian码本的有限反馈预编码方法,通过对用户信道矩阵进行量化,每个用户仅仅需要反馈一个序号而不是信道矩阵,从而大大减少了反馈量。通过对系统误码率(BER)和吞吐率的仿真,表明了该方法能保证系统性能。同时,由于信道估计存在误差,量化过程存在误差,所以,分析了信道矩阵误差对于新方法性能的影响,得到了系统吞吐率同信道矩阵误差的方差,以及基站发射功率三者的关系,并通过仿真进行验证,从而为评估信道估计和量化过程的优劣提供了理论依据。     

MIMO 系统分集复用折中及自适应链路实现

多输入多输出技术可以增加分集阶数或系统自由度,以往研究多侧重于最大化其中一种增益,不能充 分利用多天线系统的性能．针对上述问题,本文提出了一种新的基于链路自适应技术的分集复用折中方法．该方法 以误比特率为判决准则,依据实时信道状态信息进行自适应码率、功率分配,并通过少量比特信息反馈到发送端来 确定系统的工作方式．同时,为降低计算量,通过对不同工作方式下接收端信噪比边界值的近似,给出了低复杂度 的次优判决准则．本文所提算法可充分利用分集、复用增益,提高系统可靠性的同时保证了较高的传输速率,具有 较小的计算量,抗扰动性强．仿真结果表明,与传统方法相比本文提出的折中方法具有较好的性能,满足了无线通 信系统实时性、快速性的要求．     

Throughput analysis of IEEE 802.11 multirate WLANs with collision aware rate adaptation algorithm

This paper presents a mathematical model that analyzes the throughput of the IEEE 802.11b distributed coordination function (DCF) with the collision aware rate adaptation (CARA) algorithm. IEEE 802.11 WLANs provide multiple transmission rates to improve system throughput by adapting the transmission rate to the current channel conditions. The system throughput is determined by some stations using low transmission rates due to bad channel conditions. CARA algorithm does not disturb the existing IEEE 802.11b formats and it can be easily incorporated into the commercial wireless local area networks (WLAN) devices. Finally, we verify our findings with simulation.     

Adaptive robust Max-SLNR precoder for MU-MIMO-OFDM systems with imperfect CSI非完美信道状态信息下多用户MIMO-OFDM系统自适应稳健的最大化信泄噪比预编码算法

The accuracy of channel state information (CSI) available at a base station (BS) has a direct impact on the performance of precoding in wideband multi-user multiple input, multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems and depends on many factors, including: the delay between estimation and beamforming at the BS (also called the CSI delay), Doppler spread, the channel estimation method used, the average transmit power of pilot symbols, and the average number of pilot symbols that must be estimated per channel parameter. In this paper, the coefficient of CSI error needed to adapt to fading channels is modeled as a function of Doppler spread, CSI delay, and signal-to-noise ratio (SNR). In terms of the Gaussian-Markov CSI error model, an adaptive robust maximum signal-to-leakage-and-noise ratio (Max- SLNR) precoder is designed to track the statistical parameters of CSI error. The Doppler spread and SNR can be obtained through real-time estimation based on orthogonal pilot patterns. Simulation results show that, compared to non-adaptive robust and non-robust precoders of Max-SLNR, the proposed adaptive robust Max- SLNR precoder performs much better in terms of bit error rate (BER). Moreover, as either the average number of training symbols per channel parameter or the average transmit power increases, the BER performance of the proposed precoder approaches that of a precoder with ideal CSI.     

Distributed channel assignment algorithms for 802.11n WLANs with heterogeneous clients

As the latest IEEE 802.11 standard, 802.11n applies several new technologies, such as multiple input multiple output (MIMO), channel bonding, and frame aggregation to greatly improve the rate, range and reliability of wireless local area networks (WLANs). In 802.11n WLANs, access points (APs) are often densely deployed to provide satisfactory coverage. Thus nearby APs should operate at non-overlapping channels to avoid mutual interference. It is challenging to assign channels in legacy 802.11a/b/g WLANs due to the limited number of channels. Channel assignment becomes more complex in 802.11n WLANs, as the channel bonding in 802.11n allows WLAN stations (APs and clients) to combine two adjacent, non-overlapping 20MHz channels together for transmission. On the other hand, IEEE 802.11n is backward compatible, such that 802.11n clients will coexist with legacy clients in 802.11n WLANs. Legacy clients may affect the performance of nearby 802.11n clients, and reduce the effectiveness of channel bonding. Based on these observations, in this paper, we study channel assignment in 802.11n WLANs with heterogeneous clients. We first present the network model, interference model, and throughput estimation model to estimate the throughput of each client. We then formulate the channel assignment problem into an optimization problem, with the objective of maximizing overall network throughput. Since the problem is NP-hard, we give a distributed channel assignment algorithm based on the throughput estimation model. We then present another channel assignment algorithm with lower complexity, and aim at minimizing interference experienced by high-rate, 802.11n clients. We have carried out extensive simulations to evaluate the proposed algorithms. Simulation results show that our algorithms can significantly improve the network throughput of 802.11n WLANs, compared with other channel assignment algorithms.     

一种适用于WMSNs传输机制的信道盲估计方法

虚拟MIMO是一种克服无线多媒体传感器网络信道多径衰落和降低节点能耗的有效方法,但现有文献均假设信道状态信息未知或仅知道信道的统计特性,源节点则无法根据信道的实时信息动态调整传输策略。针对WMSNs信道特点,提出一种适用于WMSNs传输机制的信道盲估计方法以获得节点间信道信息进而确定传输策略,通过构造权值衰减联合决策函数,将节点间的信道盲估计问题转化为一个无约束优化问题,在此基础上设计了一种快速收敛的迭代算法以降低运算代价。该方法仅依赖小数据量就可正确估计出节点间信道,具有对抗信道时变特性的能力;理论推导与仿真表明该算法的收敛速度和运算量均能符合降低节点能耗的要求。     

Robust multiuser MIMO scheduling algorithms with imperfect CSI

Robust multiuser multiple-input-multiple-output (MIMO) scheduling algorithms are proposed in this paper.With imperfect channel state information (CSI),traditional scheduling algorithms for the multiuser MIMO system based on the zero forcing precoding scheme will lose some performance due to the multi-user interference (MUI).In order to improve the system average throughput,we study the robust multiuser MIMO scheduling problem with imperfect CSI.From the average capacity formula,we derive a robust factor which can transform the robust multiuser MIMO scheduling problem into the traditional one,thus most existing non-robust scheduling algorithms can be robust if this factor is adopted.Simulation results show that compared with the traditional algorithms,the proposed robust algorithms can improve the system average throughput significantly under the CSI error environment.     

1xEV-DO Rev A中PF调度算法的实现

分析1xEV-DO Rev A中PDMA等技术对 PF调度算法的影响，给出算法的具体实现方法，通过仿真实验研究其性能。实验结果表明，包分复用、HARQ等技术的引入可以使PF算法在1xEV-DO Rev A 中获得较好的前向链路吞吐率，更好地满足实时业务的延迟需求。     

MIMO two-way relay channel with superposition coding and imperfect channel estimation

This paper deals with the superposition coding (SPC) scheme in multiple-input multiple-output two-way relay channels subject to imperfect channel estimation. In this scenario, two multiple antenna terminals, which are unable to communicate directly, exchange information with each other via a multiple antenna relay. We determine the impact of the channel estimation error degradation on the achievable rate region for two main SPC techniques: (a) SPC without channel state information (CSI) at the users, (b) SPC with an imperfect CSI at the users where a waterfilling power allocation is employed. We demonstrate that imperfect CSI significantly improves the achievable rate at low signal-to-noise ratios (SNRs) while it becomes less critical at high SNRs. In addition, a SPC power allocation technique that incorporates the average channel statistics and does not require any instantaneous CSI is also investigated. We show how the available power is split between the two bi-directional (superimposed) data flows in order to maximize the system performance and to support fairness as well as to maximize the achievable sum-rate.     

Resource allocation for physical-layer security in OFDMAdownlinkwith imperfect CSI

We investigate the problem of resource allocation in a downlink orthogonal frequency-division multiple access (OFDMA) broadband network with an eavesdropper under the condition that both legitimate users and the eavesdropper are with imperfect channel state information (CSI). We consider three kinds of imperfect CSI: (1) noise and channel estimation errors, (2) feedback delay and channel prediction, and (3) limited feedback channel capacity, where quantized CSI is studied using rate-distortion theory because it can be used to establish an informationtheoretic lower bound on the capacity of the feedback channel. The problem is formulated as joint power and subcarrier allocation to optimize the maximum-minimum (max-min) fairness criterion over the users’ secrecy rate. The problem considered is a mixed integer nonlinear programming problem. To reduce the complexity, we propose a two-step suboptimal algorithm that separately performs power and subcarrier allocation. For a given subcarrier assignment, optimal power allocation is achieved by developing an algorithm of polynomial computational complexity. Numerical results show that our proposed algorithm can approximate the optimal solution.