Traffic Characteristics Based Dynamic Radio Resource Management in Heterogeneous Wireless Networks

The traffic with tidal phenomenon in Heterogeneous Wireless Networks （HWNs） has radically increased the complexity of radio resource management and its performance analysis. In this paper, a Simplified Dynamic Hierarchy Resource Management （SDHRM） algorithm exploiting the resources dynami- cally and intelligently is proposed with the consideration of tidal traffic. In network-level resource allocation, the proposed algorithm first adopts wavelet neural network to forecast the traffic of each sub-area and then allocates the resources to those sub-areas to maximise the network utility. In connection-level net- work selection, based on the above resource allocation and the pre-defined QoS require- ment, three typical network selection policies are provided to assign traffic flow to the most appropriate network. Furthermore, based on multidimensional Markov model, we analyse the performance of SDHRM in HWNs with heavy tailed traffic. Numerical results show that our theoretical values coincide with the simulation results and the SDHRM can im- prove the resource utilization.     

Uplink Low Power Based Radio Resource Management in Wireless Heterogeneous Networks

Wireless Personal Communications - Due to the rapid rise of energy consumption and limited battery power of wireless user equipment (UE), low power communication becomes very important....     

基于加权协商对策论异构网络快速无线传输的速率分配算法

本文研究异构无线网络合作传输的速率分配问题.作为合作传输的理性参与者,异构网络可通过反复协商得到彼此都满意的最优分配方案,即协商对策.因此,本文在速率需求和可用带宽这两个约束条件下,考虑网络传输能力的异构性,用加权协商对策论对异构网络合作传输的速率分配进行了数学建模;以最小传输时间作为优化目标构造了效用函数,证明了该函数是一个凸函数,并利用拉格朗日乘数法推导出最优显式解;提出了一种在终端上可实现的速率分配算法,进行了性能仿真实验.本文算法特别适合于应急通信等快速传输场景.     

Improved Resource Management through User Aggregation in Heterogeneous Multiple Access Wireless Networks

In this letter we discuss the exploitation of aggregated mobility patterns in mobile networks including heterogeneous multiple access techniques. We advocate the use of knowledge about neighboring devices to create routing groups (RGs) of adjacent nodes in order to optimize radio resource management. Basically, RGs consist of aggregated logical structures which are built and maintained at the application layer. Their use allows decreased signaling overhead between groups of nodes and access points (AP) and, at the same time, improved connectivity, which is achieved through the exploitation of technology diversity and relaying schemes. We illustrate a simple yet effective analytical model, and validate it through accurate simulation results. Finally, we show the effectiveness of the RG approach in terms of resource efficiency, throughput and multiple access performance.     

基于GLV模型的异构网络联合无线资源管理

为使不同的无线接入网络协同工作,实现异构无线网络的接纳控制,基于生态学种群竞争与异构无线网络资源管理的映射关系,提出了一种分布式联合无线资源管理(JRRM)算法。建立了基于Gause-Lotka-Volterra(GLV)的异构网络业务量预测模型,根据预测的业务量是否达到共存状态来调整网络参数,以使各网络的业务量达到稳定平衡状态。性能分析与仿真结果表明,该算法可以均衡各个网络的业务量,减少竞争对于网络的影响,使不同网络运营商均获得了一定收益。     

分层异构网络无线资源管理技术探讨

随着通信技术的不断发展,用户随时随地获得高质量无线业务体验的需求造成网络的分层异构覆盖特征越来越明显.对分层异构网络中的无线资源管理关键技术进行了探讨,利用无线资源管理技术可以极大地提高分层异构无线网络环境下的传输速率并节约能量.     

B3G无线通信中合作网络的一种新型无线接入方案

The paper discusses the signifi cance and development foreground of co-operation among heterogeneous networks in composite radio context for B3G wireless communications. The concept of composite reconfigurable wireless network is introduced in the paper, and the development of future wireless communication systems is also discussed. The basic confi guration framework of the network interoperation is given, and the functions of important parts are analyzed. A management platform for co-operation between WLAN...     

A Framework for Unified Spectrum Management (USM) in Heterogeneous Wireless Networks

In the information age, spectrum is a valuable natural resource. Currently, there is a great deal of ongoing research into architectures for spectrum (or more generally, radio resource) management for next generation wireless communications systems. This article proposes a framework for unified spectrum management (USM), where both licensed and license-exempt bands are managed by a hierarchical band management method. An outline for developing the required entities in this architecture is introduced, as well as the protocols that are required for USM operation. We also discuss spatial and temporal coordination of resource usage in such a heterogeneous wireless environment. Finally, a number of open research issues for future study are outlined.     

异构云无线接入网架构下面向混合能源供应的动态资源分配及能源管理算法

针对面向混合能源供应的 5G 异构云无线接入网(H-CRANs)网络架构下的动态资源分配和能源管理问题,该文提出一种基于深度强化学习的动态网络资源分配及能源管理算法。首先,由于可再生能源到达的波动性及用户数据业务到达的随机性,同时考虑到系统的稳定性、能源的可持续性以及用户的服务质量(QoS)需求,将H-CRANs网络下的资源分配以及能源管理问题建立为一个以最大化服务提供商平均净收益为目标的受限无穷时间马尔科夫决策过程(CMDP)。然后,使用拉格朗日乘子法将所提CMDP问题转换为一个非受限的马尔科夫决策过程(MDP)问题。最后,因为行为空间与状态空间都是连续值集合,因此该文利用深度强化学习解决上述MDP问题。仿真结果表明,该文所提算法可有效保证用户QoS及能量可持续性的同时,提升了服务提供商的平均净收益,降低了能耗。

     

Handover Management in Enhanced MIH Framework for Heterogeneous Wireless Networks Environment

Vertical handover decision making is one of the key problems in heterogeneous networks environment. In IEEE 802.21 standard, a Media Independent Handover (MIH) framework is proposed to improve user experience of mobile devices by facilitating handover in heterogeneous networks with measurements and triggers from link layers. However, vertical handover decision making can benefit from the information more than link layers. In this paper, an Enhanced Media Independent Handover (EMIH) framework is proposed by integrating more information from application layers, user context and network context. Given such information, there is also another important problem on how to select a favorite network. Two quite important problems from realistic scenario are as follows: (1) how to make use of partial knowledge due to incomplete value measurement on decision factors; (2) how to deal with robustness problem due to inaccurate measurement on decision factors. In order to tackle these problems, two novel Weighted Markov Chain (WMC) approaches based on rank aggregation are proposed in this paper, in which a favorite network is selected as the top one of rank aggregation result fused from multiple ranking lists based on decision factors. Moreover, an entropy weighting method, combined with WMC approach, is studied. The simulations demonstrate the effectiveness of these proposed approaches.     

A Game-Theoretic Framework for Medium Access Control

In this paper, we generalize the random access game model, and show that it provides a general gametheoretic framework for designing contention based medium access control. We extend the random access game model to the network with multiple contention measure signals, study the design of random access games, and analyze different distributed algorithms achieving their equilibria. As examples, a series of utility functions is proposed for games achieving the maximum throughput in a network of homogeneous nodes. In a network with n traffic classes, an N-signal game model is proposed which achieves the maximum throughput under the fairness constraint among different traffic classes. In addition, the convergence of different dynamic algorithms such as best response, gradient play and Jacobi play under propagation delay and estimation error is established. Simulation results show that game model based protocols can achieve superior performance over the standard IEEE 802.11 DCF, and comparable performance as existing protocols with the best performance in literature.     

Inter Radio Access Technology [IRAT] Handover Algorithms for Heterogeneous Wireless Networks

Wireless Personal Communications - Inter-system handover is important for 4G/5G networks as these heterogeneous wireless networks (HWNs) have integrated different radio access technologies with...     

A Markovian Approach to Radio Access Technology Selection in Heterogeneous Multiaccess/Multiservice Wireless Networks

This paper addresses the problem of Radio Access Technology (RAT) selection in heterogeneous multi-access/multi-service scenarios. For such purpose, a Markov model is proposed to compare the performance of various RAT selection policies within these scenarios. The novelty of the approach resides in the embedded definition of the aforementioned RAT selection policies within the Markov chain. In addition, the model also considers the constraints imposed by those users with terminals that only support a subset of all the available RATs (i.e. multi-mode terminal capabilities). Furthermore, several performance metrics may be measured to evaluate the behaviour of the proposed RAT selection policies under varying offered traffic conditions. In order to illustrate the validation and suitability of the proposed model, some examples of operative radio access networks are provided, including the GSM/EDGE Radio Access Network (GERAN) and the UMTS Radio Access Network (UTRAN), as well as several service-based, load-balancing and terminal-driven RAT selection strategies. The flexibility exhibited by the presented model enables to extend these RAT selection policies to others responding to diverse criteria. The model is successfully validated by means of comparing the Markov model results with those of system-level simulations.     

异构无线网络多链路接入动态资源分配算法

异构无线网络(Heterogeneous Wireless Networks, HWNs)环境下现有接入控制算法的主要问题是通过单一的传输链路建立移动用户和无线网络之间的连接,并且接入过程中的资源分配没有对全网的传输性能进行优化。为了解决上述问题,该文分析了HWNs中的资源分配模型和链路接入速率模型,提出一种支持多链路接入的动态资源分配算法MLA-DRA。算法以最大化系统传输速率为目标,将用户接入过程转化为前后相互联系的多阶段决策过程,利用前一阶段用户的资源分配状态计算下一阶段用户的最优解,从而推导出系统传输速率的最优值。在仿真平台上对MLA-DRA算法进行了性能分析,并且和其它算法进行了性能比较,实验结果表明,MLA-DRA算法能有效利用系统资源以及提高系统传输速率。     

A Game-Theoretic Perspective on Resource Management for Large-Scale UAV Communication Networks

As a result of rapid development in electronics and communication technology,large-scale unmanned aerial vehicles(UAVs)are harnessed for various promising applications in a coordinated manner.Although it poses numerous advantages,resource management among various domains in large-scale UAV communication networks is the key challenge to be solved urgently.Specifically,due to the inherent requirements and future development trend,distributed resource management is suitable.In this article,we investigate the resource management problem for large-scale UAV communication networks from game-theoretic perspective which are exactly coincident with the distributed and autonomous manner.By exploring the inherent features,the distinctive challenges are discussed.Then,we explore several gametheoretic models that not only combat the challenges but also have broad application prospects.We provide the basics of each game-theoretic model and discuss the potential applications for resource management in large-scale UAV communication networks.Specifically,mean-field game,graphical game,Stackelberg game,coalition game and potential game are included.After that,we propose two innovative case studies to highlight the feasibility of such novel game-theoretic models.Finally,we give some future research directions to shed light on future opportunities and applications.     

Radio Network Aggregation for 5G Mobile Terminals in Heterogeneous Wireless and Mobile Networks

This paper provides a novel design concept for advanced mobile multi interface terminals with radio network aggregation capability and enhanced quality of service (QoS) provisioning for multimedia services (voice, video and data) in heterogeneous wireless and mobile networks. A new module is established which provides the best QoS and lowest cost for any given multimedia service by using simultaneously all available wireless and mobile access networks for a given traffic flow. This novel adaptive QoS module with adaptive QoS routing algorithm is called advanced QoS routing algorithm (AQoSRA), which is defined independently from any existing and future radio access technology. The performance of our proposal is evaluated using simulations and analysis with multi-interface mobile stations with AQoSRA within, carrying multimedia traffic in heterogeneous mobile and wireless environment with coexistence of multiple Radio Access Technologies, such as 3G, 4G as well as future 5G radio access networks. The analysis of the proposed framework for radio networks aggregation in advanced mobile terminals has shown overall better performances regarding the achievable throughput and multimedia access probability in heterogeneous wireless and mobile environment.     

多代理系统在异构无线网络资源管理中的应用

在网络向着高速化、宽带化、泛在化发展的过程中,出现了多种多样的无线通信系统,给网络带来了丰富的异构性。然而异构网络缺少互通机制,缺乏有效的协调,具有系统间的干扰、单一网络业务提供能力有限、频谱资源稀缺等问题,网络资源利用率低下。为使网络资源能够高效使用,联合资源管理必不可少。而传统的集中式资源管理架构不能满足异构网络环境的需求,分布式基于多代理的网络资源管理架构将是未来异构无线网络联合资源管理的主要形式。     

A Path-Centric Channel Assignment Framework for Cognitive Radio Wireless Networks

Today’s static spectrum allocation policy results in a situation where the available spectrum is being exhausted while many licensed spectrum bands are under-utilized. To resolve the spectrum exhaustion problem, the cognitive radio wireless network, termed CogNet in this paper, has recently been proposed to enable unlicensed users to dynamically access the licensed spectrum bands that are unused in either temporal or spatial domain, through spectrum-agile cognitive radios. The CogNet plays the role of secondary user in this shared spectrum access framework, and the spectrum bands accessible by CogNets are inherently heterogeneous and dynamic. To establish the communication infrastructure for a CogNet, the cognitive radio of each CogNet node detects the accessible spectrum bands and chooses one as its operating frequency, a process termed channel assignment. In this paper we propose a graph-based path-centric channel assignment framework to model multi-hop ad hoc CogNets and perform channel assignment from a network perspective. Simulation results show that the path-centric channel assignment framework outperforms traditional link-centric approach.