TD-SCDMA系统中的动态时隙分配过程研究

在TD—SCDMA系统中由于上下行不对称业务的需求，使得不同小区的上下行切换点不同，出现交叉时隙，因此会产生严重的小区间干扰，需要使用动态信道分配算法以解决小区间的上下行时隙分配，小区内各种用户对时隙的选择等，使小区间干扰最小、系统容量最大，同时用户QoS最好。先介绍了TD—SCDMA系统中的资源和干扰情况，再重点介绍动态时隙分配全过程，分析了各部分所要完成的功能，并给出了慢速动态时隙分配的2种方案、快速动态时隙分配的4个过程以及各个过程的方案。     

一种新的EPON动态带宽分配方法的研究

传统的EPON系统的上行带宽分配方案是类似于IPACT的基于时隙长度分配的,这样虽然使上行信道得到了充分的利用,但是由于包延迟变化较大,不适合实时业务的传送.介绍了一种混合时隙长度/速率DBA方案,它可以为不同业务提供不同的QoS,既满足了实时业务的需要,又在一定程度上提升了网络的利用率.     

基于业务请求数据包长度的机会频谱接入算法

针对非时隙主用户网络,研究了单个次用户在周期性感知框架下的机会频谱接入问题。通过建立次用户信道感知和接入模型,提出了一种基于次用户请求业务数据包长度的机会频谱接入算法。该算法根据每个时隙分配给次用户业务数据包长度,自适应调整机会频谱接入策略。仿真结果表明,所提算法能够在干扰水平要求较高情况下,提高次用户平均有效传输吞吐量的同时,实现有效吞吐量与碰撞概率的折中;同时当外部环境发生变化时算法具有较强的鲁棒性。     

基于智能天线和资源预留的抗基站间干扰DCA分配算法

本文针对TD-SCDMA系统在次叉时隙间快速动态信道分配算法的不足,提出了一种基于智能天线和优级信道预留的快速动态信道分配算法。该算法在进行资源整合的基础上将信道条件较好的用户分配于交叉时隙,同时尽量分配多址干扰小的时隙给用户,从而达到减少交叉时隙干扰,提高频谱效率的目的,仿真结果表明该算法能够有效增加系统容量,改善系统性能。     

支持多业务QoS的多小区资源分配算法

提出了一种基于半静态干扰协调的支持多业务QoS的OFDMA资源分配算法PQSIC。算法按信道质量将用户分为中心和边缘用户,综合考虑业务的QoS要求和边缘用户的信道质量,在特定的频率资源规划方案基础上确定小区中心、边缘用户的可用频率资源,然后将其可用频率资源分别在小区中心和边缘用户中进行分配。仿真结果表明:PQSIC算法能合理分配频率资源,较好地保证多业务系统中用户的QoS。     

时隙光突发交换网络QoS优先级保证方案研究

已有研究表明时隙光突发交换(TS-OBS)网络与常规OBS网络的性能基本一致.因此,在TS-OBS网络中有效地支持QoS(Quality of Service)是一个很重要的问题.文章从时隙分集出发,提出了一种适合TS-OBS网络的QoS算法,这种算法可以根据各个优先级业务变化情况,动态地调整各个优先级业务使用的时隙数目,能够在提供区分服务的同时更有效提高信道的利用率并降低网络的阻塞率.     

基于多门限预留机制的自适应带宽分配算法

针对异构无线网络融合环境提出了一种基于多门限预留机制的自适应带宽分配算法,从而为多业务提供QoS保证。该算法采用多宿主传输机制,通过预设各个网络中不同业务的带宽分配门限,并基于各个网络中不同业务和用户的带宽分配矩阵,根据业务k支持的传输速率等级需求和网络状态的变化,将自适应带宽分配问题转化为一个动态优化问题并采用迭代方法来求解,在得到各个网络中不同业务和用户优化的带宽分配矩阵的同时,在带宽预留门限和网络容量的约束条件下实现网络实时吞吐量的最大化,以提高整个异构网络带宽的利用效率。数值仿真结果显示,所提算法能够支持满足QoS需求的传输速率等级,减小了新用户接入异构网络的阻塞概率,提高了平均用户接入率并将网络吞吐量最大提高40%。     

正交频分多址系统中一种面向多业务应用的自适应资源分配算法

针对正交频分多址(OFDMA)系统下行链路多业务自适应调度的问题,该文首先以最大化系统吞吐量为优化目标、每种业务的服务质量(QoS)保证为约束条件,建立了一种通用的多业务自适应资源分配模型。为解决此优化问题,提出了一种具体的自适应资源调度算法。该算法对实时业务按照用户选择最好的信道的原则分配尽可能少的资源以保证其QoS,对非实时业务把尽可能多的剩余资源按照信道选择最好的用户的原则进行分配,充分利用信道资源,提升系统容量。仿真结果表明,该算法保证了下行OFDMA系统吞吐量的同时,在实时业务的延时和丢包率等方面有一定的优越性。     

多用户OFDM系统子载波分配算法研究

采用改进的贪婪算法分配时隙的无线资源,根据用户业务的QoS和数据队列信息确定用户的优先权,并在获知信道状态信息条件下,按照传输比特消耗功率最小原则搜索所有子载波信道,为用户动态分配子载波和比特。仿真结果表明,在两种传输速率要求下,当接入用户数相同时,改进算法比传统贪婪算法减少功率消耗3.9622W;改进算法多消耗1.9858W功率却增加了2个接入用户,用户消耗平均功率比前者少2.2456W/用户。     

一种应用于时分交换IP OVER WDM网络的动态波长分配算法

提出了一种应用于时分交换IP OVER WDM网络的动态波长分配算法。该算法通过设置空闲波长信道,并将这些信道在不同时隙以跳波长方式动态分配给数据传输速率要求较高的业务,以尽量满足用户需求。讨论了该算法的原理,并对算法性能进行了分析。结果显示该算法能够有效地满足不同用户的业务需求,进一步提高信道波长利用率。     

一种基于IEEE802.15.3 MAC协议的动态资源分配算法

介绍了IEEE802.15.3 MAC协议及其QoS机制,分析了超帧中的CAP,针对实时VBR业务流,提出了一种动态资源分配算法,在性能上与平均资源分配算法进行了比较和分析,通过仿真验证了此动态资源分配算法能有效降低实时VBR码流的丢帧率,提高系统传输的QoS.     

准静止状态下的高空平台实时业务信道分配

受平台准静止状态的影响,高空平台（ HAPS)通信网络内存在大量的切换呼叫,且业务量动态变化。 HAPS网络可传输多种业务,其中实时业务在切换过程中具有较高的时延要求。通过为切换呼叫预留信道可降低平台不稳定对服务质量（ QoS)造成的影响。在基于服务优先级的多业务信道分配算法基础上,重点对实时业务的信道分配算法进行改进,提出了一种基于概率的预留信道借用策略。该算法可根据网络内业务量的实时统计数据控制新呼叫业务的准入。仿真结果表明：与固定预留信道算法和门限预留信道算法相比,该算法能够适应网络内业务量的动态变化,在保证切换呼叫掉线率满足期望值的条件下提升系统的整体性能,降低平台不稳定造成的性能损失。     

GPON中一种基于带宽需求的带宽分配算法

吉比特无源光网络（GPON）是接入网的最新发展趋势，动态带宽分配对提高GPON的服务质量、改进GPON系统时延及信道利用率等性能指标有着重要的意义，是GPON系统的关键技术之一，主要对GPON上行信道动态带宽分配技术进行研究，在分析GPON基于业务和基于T—CONT两种动态带宽分配算法的基础上提出一种新的改进型算法，新算法具有高效率和保证QoS的优点，并分析了这种算法的性能。     

A bandwidth allocation algorithm with channel quality and QoS aware for IEEE 802.16 base stations

Subscriber stations located in different places encounter various interferences in an IEEE 802.16 network, resulting in that their communication channels experience varying channel conditions. Thus, an excellent bandwidth allocation algorithm should not only satisfy various QoS required by heterogeneous traffic, but also consider the channel quality to maximize bandwidth utilization. In this paper, a bandwidth allocation algorithm with channel quality awareness and QoS guarantee, called CQQ, is proposed. CQQ not only satisfies each connection's QoS requirement, but also dynamically adjusts the downlink/uplink bandwidth to match current downlink/uplink traffic ratio. CQQ allocates more bandwidth to the connections having better channel quality by applying weighted fair queuing strategy to raise the bandwidth usage. CQQ provides lower delay violation ratio and higher goodput than the previous algorithms, as observed from the simulation results. Copyright © 2012 John Wiley & Sons, Ltd.     

Power control and channel allocation for real‐time applications in cellular networks

The next‐generation packet‐based wireless cellular network will provide real‐time services for delay‐sensitive applications. To make the next‐generation cellular network successful, it is critical that the network utilizes the resource efficiently while satisfying quality of service (QoS) requirements of real‐time users. In this paper, we consider the problem of power control and dynamic channel allocation for the downlink of a multi‐channel, multi‐user wireless cellular network. We assume that the transmitter (the base‐station) has the perfect knowledge of the channel gain. At each transmission slot, a scheduler allots the transmission power and channel access for all the users based on the instantaneous channel gains and QoS requirements of users. We propose three schemes for power control and dynamic channel allocation, which utilize multi‐user diversity and frequency diversity. Our results show that compared to the benchmark scheme, which does not utilize multi‐user diversity and power control, our proposed schemes substantially reduce the resource usage while explicitly guaranteeing the users' QoS requirements. Copyright © 2007 John Wiley & Sons, Ltd.     

Adaptive resource allocation for multiaccess MIMO/OFDM systems with matched filtering

In this letter, we propose an adaptive resource-allocation algorithm for multiaccess multiple-input multiple-output/orthogonal frequency-division multiplexing systems. The proposed algorithm endeavors to maximize the system power efficiency, given that the users' quality of service (QoS) requirements, specified by bit-error rate and data rate, are satisfied. Subcarrier allocation, power distribution, and modulation for multiple users are jointly optimized according to users' channel states and QoS requirements. To avoid the joint optimization of resource allocation and beamforming, matched-filter-based receivers are employed at the base station, with cochannel interference being mitigated through dynamic subchannel allocation. A neighborhood search scheme is further developed to obtain a good allocation solution with reasonable computational efforts. Our results show that the proposed algorithm is able to achieve significant enhancement in the system power efficiency due to the successful exploitation of multiuser diversity, as well as channel variations in the time, frequency, and space domains.     

An optimal solution to resource allocation among soft QoS traffic in wireless network

Optimization theory and nonlinear programming method have successfully been applied into wire‐lined networks (e.g., the Internet) in developing efficient resource allocation and congestion control schemes. The resource (e.g., bandwidth) allocation in a communication network has been modeled into an optimization problem: the objective is to maximize the source aggregate utility subject to the network resource constraint. However, for wireless networks, how to allocate the resource among the soft quality of service (QoS) traffic remains an important design challenge. Mathematically, the most difficult comes from the non‐concave utility function of soft QoS traffic in the network utility maximization (NUM) problem. Previous result on this problem has only been able to find its sub‐optimal solution. Facing this challenge, this paper establishes some key theorems to find the optimal solution and then present a complete algorithm called utility‐based allocation for soft QoS to obtain the desired optimal solution. The proposed theorems and algorithm act as designing guidelines for resource allocation of soft QoS traffic in a wireless network, which take into account the total available resource of network, the users’ traffic characteristics, and the users’ channel qualities. By numerical examples, we illustrate the explicit solution procedures.Copyright © 2013 John Wiley & Sons, Ltd.     

基于用户QoS的网络资源分配策略研究

针对5G网络在网络资源分配存在的问题,从用户业务QoS等级角度提出基于贝叶斯模型的网络资源优化分配策略模型。在对用户业务QoS等级划分的基础上采用优先节点自主控制策略进行网络资源分配,通过构建贝叶斯模型评价网络状态并进行动态学习推理,指导网络优先节点的控制决策,实现优先节点对最佳信道的优先选择。实验表明,与基于信道容量的信道资源分配策略相比,本文的策略在网络总体容量和网络公平性上具有更好的表现,能够更好满足异构网络的实际需求。     

Resource Allocation with Limited Feedback and Joint Coding Scheme for Wireless Multi-antenna Multicast System

In conventional multicast scheme (CMS), the total throughput of multicast group is constrained by the user with the worst channel quality. In order to overcome this problem of limited throughput, we introduce a resource allocation algorithm by exploiting layered coding combined with erasure correction coding for multicast services in the downlink of OFDMA-based multi-antenna system. To reduce the feedback overhead of uplink, we design a novel transmission scheme with limited feedback. Then, we formulate the joint subcarrier and power allocation problem for the data of base layer and enhancement layers, which is shown to be NP hard. Hence, in order to reduce the computational complexity, we propose a three-phase suboptimal algorithm. The algorithm is designed to maximize the system throughput while at the same time guarantee the quality of services (QoS) requirements of all multicast groups. It is composed of precoding scheme, proportional fairness subcarrier allocation algorithm and modified water-filling power allocation algorithm with QoS guarantees (MWF-Q). To further decrease the complexity of MWF-Q, a power allocation algorithm with increased fixed power allocation algorithm with QoS guarantees is introduced. Simulation results show that the proposed algorithms based on limited feedback scheme significantly outperform CMS and any other existing algorithm with full feedback. Moreover, the proposed scheme can efficiently reduce 50 % of the full feedback overhead.     

QoS保证的多信道混合接入CRN频谱共享策略设计

根据既不对主用户(Primary Radio user,PR)产生干扰,又对认知无线电用户(Cognitive Radio user,CR)提供QoS保证的原则,将认知无线电网络(Cognitive Radio Network,CRN)中多信道接入频谱共享问题建模为混合整数非线性规划。采用多级功率限制保证PR不被干扰,以CR物理层能够提供的速率作为信道和功率分配的依据,提出将能够为CR提供最大传输速率的信道分配给该CR的分配策略,将混合整数非线性规划转化为整数线性规划,并给出集中式启发算法和基于功率速率比(Power Rate Ratio,PRR)最小的分布式启发算法求解该整数线性规划。仿真结果表明,文中给出的算法能够提供较高的CRN吞吐量和较好的CR用户QoS保证。