Optimal power allocation and optimal relay selection for D2D communication

Cellular users can be regarded as relay nodes in cooperation with the Device-to-Device (D2D)communication so as to lower the cost, improve spectrum efficiency and solve the problems of network coverage, as well as improving service quality. In this paper an optimal power allocation and optimal relay selection algorithm based on network coding is proposed for using cellular users in the bidirectional relay nodes system. By fixing the total power of the D2D link to be transmitted, this algorithm optimizes the transmission power of each node, and selects the relay node which can maximize the channel capacity of the D2D link as the best relay node. Simulation results show that compared with other protocols, the proposed protocol can significantly improve the channel capacity of the D2D link.     

一种加权因子的OFDMA多播资源分配算法

针对EPSA-SAF算法造成系统性能不确定性波动问题,提出一种改进的多播资源分配算法。该算法将加权因子与用户所处信道增益进行逆向关联,自适应根据用户性能将高速率数据流分散到较低速率上,且对低速率数据流相反处理,从而提高整个系统吞吐量的同时尽可能满足用户间的公平性。仿真结果表明改进算法的吞吐量要优于EPSA-SAF算法和EPSA-LCG算法的吞吐量。     

基于D2D通信的V2X资源分配方案

针对基于设备到设备(D2D)的汽车间通信复用蜂窝资源带来的干扰问题,考虑在满足车辆用户(V-UEs)的通信要求下,通过一个启发式算法最大化蜂窝用户(C-UEs)总的吞吐量.首先通过图着色原理将没有干扰的车辆分在同一簇;其次根据分簇结果,利用改进的匈牙利指派算法为V-UEs分配信道;最后通过调整功率最大化C-UEs总的吞吐量.仿真结果表明,此算法能够很好地解决车通信(V2X)的同层干扰和跨层干扰问题,在保证V-UEs通信可靠性的前提下,提高了频谱利用率.     

LTE中适用于MBSFN的自适应资源分配机制

提出了一种适用于长期演进(LTE)系统多播广播单频网传输方式的自适应资源分配机制,考虑多播业务的资源需求和信道情况决定每个子帧上传输的业务类型.在每个资源分配周期内,通过估计系统内多播业务所需的子帧比例,选定相应的信干噪比门限;通过门限判决并考虑多播业务所需资源分配情况,自适应地实现多播业务和单播业务间的子帧分配.仿真结果表明,所提机制在保证多播业务速率的同时,可以提高单播业务吞吐量,优化了系统无线资源的利用率。     

Design of the D2D multicast transmission scheme in the LTE communication system

In order to improve spectrum efficiency and transmission reliability of the LTE communication system, its terminal users can be divided into the D2D communication cluster. Specially, the multicast transmission of data packets in the LTE system can be realized through two hop transmissions, namely, the base station multicasts data packets to all cluster-heads and each cluster-head in the D2D communication cluster broadcasts the received packets. Considering that the links may be unreliable in the D2D communication cluster, the ARQ retransmission algorithm based on network coding is adopted. By establishing the lost-packet list, the cluster-head operates the lost-packets by network coding, and broadcasts the encoded packets to reduce the number of retransmission. Performance analysis and simulation results show that the proposed scheme can achieve almost the same transmission efficiency as the existing scheme, but has a lower computational complexity. Compared with the traditional multicast retransmission scheme based on network coding in the cellular communication mode, the scheme only retransmits the lost-packets in D2D cluster, to reduce the pachets transmission number of base stations and decrease the spectrum resource consumption of the cellular network effectively at a high packet loss rate.     

OFDMA网络比例公平性的中继资源分配

在中继协作正交频分多址（OFDMA/Relay）系统中,应用协作博弈论提出一种比例公平性的多用户中继资源（子载波和功率）分配方案.定义了用户基于比特传输速率的效用函数,并建立中继资源分配的协作博弈模型.求解此博弈的纳什议价解（NBS）具有较高的计算复杂度,为此,提出一种快速子载波与功率联合分配算法,即：先进行固定发射功率的最优子载波分配,再进行最优的发射功率分配,最终通过上述迭代方式获得联合资源分配的NBS.仿真试验表明：与已有的OFDMA/Relay系统资源分配算法相比,所提出的NBS求解算法能够在提高系统频谱资源利用率的同时,对用户进行更为公平的中继资源分配.     

Optimal power allocation for a video layered multicasting relay strategy in cellular system

Within a cell of cellular system,cooperative relay technique can improve the performance of multicast efficiently,but it can cause the stream frequent interruptions because of the mobility of relay terminals.A video layered cooperative relay strategy is proposed to guarantee the continuity of multicast stream and retain high-bandwidth of the cooperative relay channel.Based on the capacity analysis for layered relay channel in the strategy,the optimal power allocation is studied to maximize capacity.After analyzing and optimizing the capacity in abstract models,the study is extended to a non-fading and a Gaussian wireless channel model to satisfy the scenario of cellular system.Giving the relay nodes position or distribution of noise power,the obtained results can determine the optimal power allocation among the transmitter and relay nodes.At last,the simulation results show that the strategy and its optimal power allocation have a significant improvement on the performance.     

Adaptive computational resource allocation for sensor networks

To efficiently utilize the limited computational resource in real-time sensor networks, this paper focuses on the challenge of computational resource allocation in sensor networks and provides a solution with the method of economics. It designs a microeconomic system in which the applications distribute their computational resource consumption across sensor networks by virtue of mobile agent. Further, it proposes the market-based computational resource allocation policy named MCRA which satisfies the uniform consumption of computational energy in network and the optimal division of the single computational capacity for multiple tasks. The simulation in the scenario of target tracing demonstrates that MCRA realizes an efficient allocation of computational resources according to the priority of tasks, achieves the superior allocation performance and equilibrium performance compared to traditional allocation policies, and ultimately prolongs the system lifetime.     

基于粒子群优化的协作网络资源分配的博弈策略

应用基于竞价机制的斯坦克尔伯格博弈提出协作中继网络中的一种资源分配策略,用以解决单一中继节点对多用户节点协作带宽的分配问题。首先中继根据用户的协作带宽需求对资源定价,然后用户根据价格调整其纳什均衡策略,即获取协作效用最大化的最优带宽购买量。证明了纳什均衡的存在性,提出基于粒子群优化的均衡求解算法,分析了均衡的有效性,仿真给出了粒子群优化的全局最优带宽分配结果。仿真结果表明,所提出的博弈可以激励中继节点参与协作,并协调多用户节点间的资源分配。     

一种软件过程中活动序列的资源分配与规划算法

在软件过程模型中,活动的规划问题是把人员和资源合理地分配给活动与活动序列并且使得活动序列能够按期完成.这里用集合与关系的方法,分析并且形式化描述了活动、角色和资源之间的联系,提出了用图连通的算法来求解活动之间并行或者串行的关系,又提出一种两级规划的遗传算法解决活动序列分配人员、资源和优化的问题.通过仿真实验证实了算法能够有效解决资源分配与活动规划问题.     

基于DEA的资源配置评估系统的研究

数据包络分析(DEA)是一种评价相对有效性的线性规划方法,在投入-产出效率分析中被广泛应用,尤其适用于具有多输入、多输出以及评估对象多元性等特征的资源配置的评估中.该文采用DEA方法,对资源配置进行了有效性分析,并以黑龙江省工业行业资源配置为例进行了实证研究,得出资源配置的有效状态和优化方向.最后,提出通过调整生产要素的配置,改进企业内部管理水平及充分发挥生产潜力来提高黑龙江省工业企业的综合管理效率和产出效益.     

中继增强蜂窝系统中的比例公平资源分配

针对中继增强蜂窝系统,提出了一种基于比例公平准则的资源分配算法.在基站和中继节点分别独立地调度所服务用户的情况下,通过资源划分和用户调度两个步骤,实现蜂窝小区内所有用户的比例公平资源分配目标.仿真结果表明,该算法可在保证用户公平性的前提下,获得比传统算法更好的系统吞吐量增益.     

多用户协同通信系统资源的优化分配算法

针对多用户协同通信系统中的剩余功率分配不合理问题,提出了一种基于用户间公平性的子载波分配和优化剩余功率分配的联合资源管理算法．首先在保证用户资源分配公平性下给出基于平均功率分配下的子载波分配,其次利用调和平均值算法对剩余功率进行优化分配．仿真结果表明,所提出的算法能够在满足用户质量需求和公平性的同时,可提高系统的容量和用户容量,降低系统的误码率．     

Fair resource allocation algorithm for the smart TV system

In order to address the resource allocation problem of the smart TV system, a resource allocation algorithm based on the nonlinear elastic task model is proposed. First, we define fairness of QoS levels and describe the fair resource allocation problem of the smart TV system. Then, based on the nonlinear elastic task model, a fixed-point iteration method is used to solve the resource allocation problem and a sufficient condition for the convergence of the method is derived. Finally, nonlinear elastic task model is applied to the adaptive fair sharing controller. Simulation results show that the proposed algorithm can obtain fair resource allocation with a faster convergence speed than existing algorithms.     

基于动态帧结构的多跳中继链路的资源分配

在基于TDMA传输方式的多跳再生中继链路中,通过引入动态的帧结构设计使该链路上的每一跳传输所占用的时间可以进行调整。提出了在这种帧结构下多跳再生中继链路的资源分配算法,目的是在保证用户QoS需求的前提下使整个链路总的发射功率达到最小。仿真结果表明,相对于采用固定帧结构的资源分配算法,该算法能够降低总发射功率,同时能够降低用户不满意的概率。     

协作蜂窝小区上行链路的中继选择与功率分配

为了最小化能量受限的协作蜂窝小区的总代价,提出了上行链路的功率和中继等资源分配的模型.该模型是一个非线性约束、{0,1}组合优化问题,因而提出了一种自适应的资源分配方案对其求解.针对给定中继节点集合,该方案分别为每个源节点选择总代价最小的中继;而对于给定源和中继对,提出了最小化二者总代价的基于图论的最优功率分配算法.通过仿真和分析表明,该方案近似最优,能够发送更多的数据量,延长网络的寿命.     

性能感知的核心网控制面资源分配算法

针对网络功能虚拟化（NFV）环境下核心网控制面资源分配问题,提出性能感知的资源分配算法. 基于排队网络理论建立核心网控制面性能评估模型,推导出信令流程平均响应时间的近似表达式. 为了确定核心网控制面虚拟网络功能（VNF）实例的最优配置数量,综合考虑处理性能和VNF实例部署成本,建立核心网控制面资源分配多目标优化模型,并提出改进的多目标遗传算法. 仿真结果表明,该性能评估模型误差在10%以内,优于Jackson排队网络模型;与NSGA-II和HaD-MOEA相比,所提算法获得的近似Pareto前沿收敛性和多样性更好,更逼近真实Pareto前沿.     

异构网络中支持终端直通的联合模式资源复用算法

针对异构蜂窝网络中终端直通(D2D)通信复用频谱资源导致同频干扰,并影响系统通信性能的问题,提出了一种基于联合模式的支持终端直通的资源复用算法.为了综合考虑异构网络中蜂窝用户和D2D用户需要并平衡两类不同用户的资源分配,该算法在确定D2D通信限制距离的基础上,联合蜂窝与D2D两种模式构建CU-D2D组合集,以其加权吞吐量增益为用户优先级,并据此进行无线资源分配,从而实现了异构蜂窝网络环境下频谱资源的优化分配.结果表明,该算法在保证蜂窝用户传输速率的同时,有效地改善了D2D用户的通信速率,从而整体性地提升了异构蜂窝网络的系统通信性能.     

基于QoS的多用户OFDM系统自适应资源分配算法

在多用户OFDM系统中,为满足用户的服务质量要求并降低算法复杂度,提出一种基于QoS的自适应资源分配算法。该算法将子载波和功率分配算法分开进行,给出了基于QoS的子载波分配方案,并将用户分为VIP用户和普通用户,对两种用户分别采用不同的功率分配算法,在保证VIP用户达到所需要速率的前提下,尽量满足普通用户的速率要求,使MU-OFDM系统成为一个具有服务质量保障的系统。仿真结果表明,该算法既保证了VIP用户和普通用户的性能指标,又降低了算法的整体计算复杂度。