Deep Learning Based Cooperative Resource Allocation in 5G Wireless Networks

Mobile Networks and Applications - Wireless personal communication has become popular with the rapid development of 5G communication systems. Critical demands on transmission speed and QoS make it...     

Enabling Efficient Peer-to-Peer Resource Sharing in Wireless Mesh Networks

Wireless mesh networks are a promising area for the deployment of new wireless communication and networking technologies. In this paper, we address the problem of enabling effective peer-to-peer resource sharing in this type of networks. Starting from the well-known Chord protocol for resource sharing in wired networks, we propose a specialization that accounts for peculiar features of wireless mesh networks: namely, the availability of a wireless infrastructure, and the 1-hop broadcast nature of wireless communication, which bring to the notions of location awareness and MAC layer cross-layering. Through extensive packet-level simulations, we investigate the separate effects of location awareness and MAC layer cross-layering, and of their combination, on the performance of the P2P application. The combined protocol, MeshChord, reduces message overhead of as much as 40 percent with respect to the basic Chord design, while at the same time improving the information retrieval performance. Notably, differently from the basic Chord design, our proposed MeshChord specialization displays information retrieval performance resilient to the presence of both CBR and TCP background traffic. Overall, the results of our study suggest that MeshChord can be successfully utilized for implementing file/resource sharing applications in wireless mesh networks.     

Social-Aware Caching and Resource Sharing Maximized Video Delivery Capacity in 5G Ultra-Dense Networks

Mobile Networks and Applications - In 5G networks, a massive number of connections of high data rate services, e.g., video streaming services, certainly make the networks deteriorated because of...     

Graph-Based Radio Resource Sharing Schemes for MTC in D2D-based 5G Networks

Apart from the the increasing demand of smartphones in human-to-human (H2H) communications, the introduction of machine-to-machine (M2M) devices poses significant challenges to wireless cellular networks. In order to offer the ability to connect billion of devices to propel the society into a new era of connectivity in our homes, officies and smart cities, we design novel radio resource sharing algorithms in a H2H/M2M coexistence case to accommodate M2M communications while not severely degrading existing H2H services. We propose group-based M2M communications that share the same spectrum with H2H communications through device-to-device (D2D) communication, as one of the technology components of 5G architecture. First, we formulate radio resource sharing problem as a sum-rate maximization, problem for which the optimal solution is non-deterministic polynomial-time hard (NP-hard). To overcome the computational complexity of the optimal solution, we model the resource sharing problem as a bipartite graph, then propose a novel interference-aware graph-based resource sharing scheme using a fixed M2M transmit power. To further enhance the protection of H2H services, we introduce an adaptive power control mechanism into the interference-aware graph-based resource sharing scheme. M2M transmit power is efficiently adjusted using one among the two following alternative controllers, namely, either the proportional integral derivative (PID) or the fuzzy logic. The latter is proposed within the aim to assure the desired quality-of-service (QoS) of H2H users and increase the efficiency of M2M spectrum usage. In both cases (fixed and adaptive), a centralized and a semi-distributed instantiations are given. Simulation results show that adaptive M2M radio resource sharing scheme using fuzzy logic is the one that achieves the best compromise. In fact, it guarantees H2H performance in terms of throughput and fairness while maximizing the efficiency of M2M spectrum usage. Simulation results also show that in spite of its quite good performance, semi-distributed M2M resource sharing instantiation achieves them with a decline of up to 10% in terms of H2H throughput compared to the centralized instantiation. This is achieved through a markedly lower communication overhead.

     

5G无线网共享建设方案

随着5G网络的商用和大规模部署,5G设备单站成本高、站址需求大、功耗高等问题成为运营商5G网络建设和运营中的巨大挑战。在国家网络强国战略和提速降费的要求下,运营商需要探索新的网络建设和运营模式,在保障5G网络高质量建设的基础上提升5G网络的效益和资产运行效率,网络共建共享模式成为电信运营商5G运营新模式。从网络共享技术方案分析入手,分析了异网漫游和接入网络共享技术方案,结合中国联通和中国电信5G网络共享,分析了接入网共享下NSA网络共享方案和SA演进方案。     

Non-resonant Frequencies in Mobile Wireless 5G Communication Networks

New emerging technology 5G will require higher speed, power and capacity in data transmission than previous generation, in order to obtain a complete world-wireless communication without limitation. In this scenario, given that the achievement of 5G technology will lead to a drastic increase of effects of exposure to microwave radiation, a strategy to reduce the effects of exposure to electromagnetic fields is needed. In this regard, given that cellular functions of human beings depend closely on ions flux across cellular membrane, whose mechanism should have its natural resonant frequencies, we can hypothesize to plan new emerging wireless technology 5G at frequencies far from these resonant frequencies in order to minimize the effects of exposure to extremely high frequency electromagnetic fields, inducing a significant decreasing of harmful effects on human health. We have named these frequencies “non-resonant frequencies”.

     

应用于第3代无线IP网络中的自适应资源分配方案的研究

3G(第3代)系统可支持全IP的体系结构,以便灵活地部署IP技术,同时提供实时和非实时的服务.为了减少切换过程中的分组丢失和时延,文中提出了一种新的切换方案,它利用了同时多重绑定的概念;也提出了一种根据网络状况为呼叫请求分配资源的自适应资源分配方案,在这一方案中,可以通过减少正在进行的呼叫所占带宽来尽量降低切换呼叫的掉话率和始发呼叫的阻塞率.     

Atomic Resource Sharing in Noncooperative Networks

In noncooperative networks, resources are shared among selfish users, which optimize their individual performance measure. We consider the generic and practically important case of atomic resource sharing, in which traffic bifurcation is not implemented, hence each user allocates its whole traffic to one of the network resources. We analyze topologies of parallel resources within a game-theoretic framework and establish several fundamental properties.We prove the existence of and convergence to a Nash equilibrium. For a broad class of residual capacity performance functions, an upper bound on the number of iterations till convergence is derived. An algorithm is presented for testing the uniqueness of the equilibrium. Sufficient conditions for achieving a feasible equilibrium are obtained. We consider extensions to general network topologies. In particular, we show that, for a class of throughput-oriented cost functions, existence of and convergence to a Nash equilibrium is guaranteed in all topologies.     

Utility-Based Resource Allocation in Wireless Networks

In this paper, we study utility-based maximization for resource allocation in the downlink direction of centralized wireless networks. We consider two types of traffic, i.e., best effort and hard QoS, and develop some essential theorems for optimal wireless resource allocation. We then propose three allocation schemes. The performance of the proposed schemes is evaluated via simulations. The results show that optimal wireless resource allocation is dependent on traffic types, total available resource, and channel quality, rather than solely dependent on the channel quality or traffic types as assumed in most existing work.     

Energy-Efficient Resource Allocation in Wireless Networks

This paper shows that game theory can be used as a unifying framework to study radio resource management in a variety of wireless networks. with different service criteria. It focuses on infrastructure networks where users transmit to a common concentration point such as a base station in a cellular network or an access point. Since most of the terminals in a wireless network are battery-powered, energy efficiency is crucial to prolonging the life of the terminals. Also, in most practical scenarios, distributed algorithms are preferred over centralized ones. Throughout this article it focuses on distributed algorithms with emphasis on energy efficiency. A family of power control games is presented for energy-efficient resource allocation in wireless code-division multiple-access (CDMA) networks and give discussions and conclusions     

新时期5G无线通信技术发展跟踪与应用研究

通信技术在现代社会不可替代,而5G技术是目前无线通信领域的核心技术,其发展和应用得到了广泛重视。因此,以5G无线通信技术发展与应用现状作为切入点,分析国内外5G技术的发展和应用动态、新时期5G无线通信技术发展与应用趋势等,以更好地发挥5G无线通信技术的作用。     

跨层资源调度算法综述

跨层资源调度对实现资源的有效利用,保证业务的QoS起着重要作用.本文对跨层资源调度的研究状况进行了概述:根据所采用的技术体制和约束类型,介绍了单载波系统和OFDM系统的多用户机会调度问题和相应算法,分析了单一类型和多种类型资源共享约束下的机会调度算法:分别从队列调度、子载波分配和功率控制3个方面,对基于队列和信道状态信息的资源调度算法进行了分析和比较:对提高反馈信息的准确性、减少反馈信息量的方法和机制进行了简要介绍.最后指出了需要进一步研究的问题.     

Wireless Broadband Tools and Their Evolution Towards 5G Networks

Telecom companies in the different generations resorted to different tools to conquer connectivity issues like coverage, throughput and quality of service. The success is driving new services of diversified requirements and more traffic which dictates a continuous increase in data rates and improved performance. This work reviews the different technology tools used to meet rates and traffic requirements of the past and the present with a look into their role in future networks. The coming fifth generation (5G), in particular, is confronted by a number of antonym challenges of capacity, spectrum, energy, connectivity, performance, complexity, and cost. Suggested tools proposed to meet these challenges and the way they act to do so are reviewed and compared to current and past solutions. The tools discussed are the use of millimetric waves, massive multiple input multiple output antenna systems, indoor–outdoor separation, ultra-dense cooperative networks, and the increased reliance on users’ terminals. The major constructional differences and tools differences between current and future 5G are finally emphasized.

     

Channel Selection for Spectrum Sharing in Wireless Networks

In this paper, we study a spectrum sharing network (SSN) where a spectrum sharing device (SSD) coexists with multiple wireless communication systems (WCSs) in the same channel. The SSD can operate with either a duty cycle (DC) channel access mechanism or a listen‐before‐talk (LBT) channel access mechanism, whereas WCSs operate with an LBT mechanism. An opportunistic channel selection scheme for the SSD in the SSN is first proposed to minimize the outage probability. The optimal data transmission time for the DC‐based SSD is derived to further improve the outage probability. We also derive the exact and closed‐form outage probability of the proposed channel selection in the SSN by assuming that the number of WCSs operating in each channel is uniformly distributed. The simulation results show that the proposed channel selection scheme outperforms other channel selection schemes. It was also observed that a DC‐based SSD with an optimal data transmission time provides a better outage performance than an LBT‐based SSD. As the number of available channels increases, the channel selection scheme plays an important role in minimizing the outage probability of the SSNs.     

无线传感器网络部署及其覆盖问题研究

无线传感器网络是近几年发展起来的一种新兴技术,在条件恶劣和无人坚守的环境监测和事件跟踪中显示了很大的应用价值。节点部署是无线传感器网络工作的基础,对网络的运行情况和寿命有很大的影响。部署问题涉及覆盖、连接和节约能量消耗3个方面。该文重点讨论了网络部署中的覆盖问题,综述了现有的研究成果,总结了今后的热点研究方向,为以后的研究奠定了基础。     

无线传感器网络路由协议研究浅析

在无线传感器网络体系结构中,路由技术至关重要。本文描述了无线传感器路由协议所面临的问题与挑战,分析和比较了典型的平面路由协议和层次路由协议。最后总结了理想路由协议应该具有的特点以及路由协议未来的研究策略及发展趋势。     

无线传感器网络门限密钥共享模型

针对现有传感器网络密钥管理方案存在的网络连通度低、抗俘获性差、节点能耗高等问题,该文提出一种基于(q,l)门限秘密共享的密钥共享模型,采用虚拟簇头共享密钥,物理簇头重构密钥的方式完成簇头与簇成员的密钥协商。该模型实现了簇成员能耗最低、抗俘获性最优的目标,同时门限参数l和q能够调节簇头的抗俘获性、容错性和高效性。理论分析与实验证明,与传统的概率型方案相比,该模型有效地提高了节点抗俘获性和网络连通度,并降低了节点能耗。