The Research of ST-OFDM in Physical Layer of IEEE 802.16a

This paper briefly introduces one of the three physical layer implementations of IEEE 802.16a~[1],WirelessMAN-OFDM PHY.Based on the implementation,the combination of Orthogonal Frequency Division Multiplexing(OFDM)and Space-Time Coding(STC)which is briefly called ST-OFDM in IEEE 802.16a,is investigated under thechannel provided in Ref.[2].Especially,this paper is focused on the influence of the optimal decision threshold on the sys-tern Bit-Error-Rate(BER)performance based on unequal probabilities of sources.The simulations show that when Signal-Noise-Ratio(SNR)is low the optimal decision threshold is obviously superior to the usual one;when SNR is high to someextent,such as 10 dB for 4QAM and 16 dB for 16QAM,we can use the usual decision threshold instead of the optimal     

Modeling of streaming and elastic flow integration in OFDMA-based IEEE802.16 WiMAX

We study in this paper the capacity of the downlink of OFDMA-based IEEE802.16 WiMAX system in the presence of two types of traffic, streaming and elastic. We focus in particular on the impact of Adaptive Modulation and Coding (AMC) as well as inter-cell interference resulting from different frequency reuse schemes. Several performance measures, namely blocking rates, mean transfer time and the mean number of collisions between two OFDMA WiMAX cells, are then derived and quantified. We show that reuse partitioning results in a higher blocking rate at the appreciable gain in terms of lower mean transfer time for users close to the base station as well as a lower number of collisions which implies a higher throughput.     

IEEE802.16e中的卷积Turbo码编译码算法研究

为了分析不同设计参数对IEEE802.16e中卷积Turbo码(CTC)性能的影响以及对比IEEE802.16e支持的CTC和卷积码的编码性能,介绍了IEEE802.16e中的CTC的编码过程,给出了编码过程中的循环状态确定方法的推导过程,分析了CTC的迭代译码结构和译码算法,最后对CTC的性能进行了仿真.仿真结果表明:在相同码率和相同调制方式下CTC的编码增益要比卷积码大,采用CTC比采用卷积码有着明显的性能优势.因此在码率较低、信道状况较好或对系统实时性要求严格的情况下,可考虑使用卷积码,以降低信道编码的复杂度;而在码率较高、信道状况较差或对误码率要求严格时,可考虑选用CTC编码方案,以保证通信的可靠性.     

Dynamic-cost-reward connection admission control for maximizing system reward in 4G wireless multihop relaying networks

The 3GPP Long Term Evolution (LTE) Advanced and IEEE 802.16j specifications adopt the mobile multi-hop relaying (MMR) mechanism for enlarging service area and improving wireless transmission quality simultaneously. By deploying different types of Relay Stations (RSs), MMR can bring some advantages: (1) the signal fading and wireless interference of a single long wireless link is improved obviously; (2) the ranges of wireless access and relay area are extended, etc. MMR can offer a high data rate transmission for packet services and can increase system capacity. Note that MMR can be applied to the public transportation system, e.g., equipped a mobile RS on a high-speed train. A mobile RS handoff initializes a multiple handoff requests of different types of traffics. It becomes as a critical handoff issue in 4G MMR. Thus, the MMR handoff needs a new efficient Connection Admission Control (CAC) to guarantee qualities for various types of traffics and to increase system revenue. However, traditional CACs are difficult to fulfill the objectives. This paper thus proposes the Dynamic Cost-Reward-based (DCR) CAC that consists of two key mechanisms: (1) adopting a Markov decision process-based (MDP) cost function and (2) providing different reward functions for different types of nodes and various types of connection. Additionally, a mathematical analytical Markov chain is modeled for DCR. The simulation results are very close to the analysis results, which justifies the correctness of the analytical model. Numerical results demonstrate that DCA outperforms the compared CACs in the probabilities of new blocking, MS-handoff, and RS-handoff dropping, FRL, GoS, and system reward.     

基于自相似流的IEEE 802.16e休眠算法

为了减少移动站点的功率消耗,降低服务基站空中资源的使用,IEEE802.16e引入了休眠模式。移动站点与服务基站协商后进入休眠周期并暂时终止业务服务。休眠模式算法目前研究工作大都基于包到达服从泊松过程的假定来设计与分析算法,但研究表明,数据包到达的时间间隔遵循类似Pareto分布的重尾分布。针对网络流量的自相似特性,提出指数递减的休眠模式算法。理论分析与实验表明,此算法在平均响应时间和平均能量消耗方面都要优于IEEE802.16e协议所建议的指数递增休眠模式算法。     

宽带无线移动接入网络中的切换方法

IEEE 802.16e是一种提供用户宽带无线移动接入的新技术。该文针对宽带无线移动通信的特点,在分析IEEE802.16e切换过程的基础上提出一种满足网络服务质量要求并可以在实际系统中工作的切换算法。解决切换中的两个主要问题：切换触发和目标选择。理论分析表明,该算法能够在保证MS良好移动性的同时满足网络中各业务对服务质量的要求。     

基于IEEE 802．16的QOS研究

在固定宽带接入系统中,如何为具有不同QOS要求的多种类型业务流提供服务质量(QOS)保证是一个很重要并且很有挑战性的课题。尽管IEEE 802.16 MAC协议支持对各种类型应用的QOS保证,但是它没有给出具体的流调度方案来实现QOS要求。要为各种应用提供不同级别的QOS并且保证较高的系统吞吐率,必须在此MAC协议中集成一个QOS架构。这篇论文针对应用于802.16 MAC协议中的QOS架构进行深入的讨论和研究。     

IEEE 802.16网状网络中基于队列的带宽分配

IEEE 802.16网状网络中分布式调度的建立时间对时延敏感类业务影响较大。针对该问题,使用基于令牌分发的循环轮转服务机制向邻居节点请求或授予带宽,预测调度控制消息发送间隔内到达的数据包量,据此完成三次握手过程,保证业务流公平带宽分配并减小数据包因为三次握手过程造成的队列缓冲时延。NS2仿真实验验证了该算法的有效性。     

Capacity estimation algorithm for simultaneous support of multi-class traffic services in Mobile WiMAX

Mobile profile of WiMAX technology, based on IEEE 802.16e standard, is due to support multi-application services, while benefiting a wide range of implementation flexibilities. The current document presents a simple capacity estimation methodology for WiMAX systems. In this paper, the term capacity concerns with the maximum number of simultaneous multi-service users that each specific Mobile WiMAX access point can jointly support. A dynamic PHY+MAC overhead removal method is formulated to achieve an improved system goodput with respect to users distribution and multi-burst construction strategy. A service delivery model is presented that investigates the QoS requirements of the services to be supported, along with elaborating an application profile as a consistent input for capacitating and dimensioning studies. The minimum resource consumption calculation for the joint-application users is derived at each given time. An incremental algorithm compares the optimal available resources with minimum service demand for each number of users to arrive at maximum system capacity. Using the proposed algorithm, different simulation scenarios are studied based on the most used WiMAX implementation parameters in practice. The simulation results prove the significant roll of overhead calculation in performance evaluation studies. Furthermore, these results can be used for network planning and dimensioning purposes, as well as providing reference measures for scheduling performance analysis and detailed simulations.