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2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)最新文献

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Power saving strategy in advanced metering infrastructure for high-density residential community 高密度住宅小区先进计量基础设施的节能策略
Qi Wang, Anteneh A. Gebremariam, Raúl Palacios, F. Granelli
Data interaction between power consumers and utilities is one of the distinctive features of smart grid. The smart meter plays a core role in data collection and transmission process, which is also considered as one of the most power consuming devices in the whole architecture of distribution power grid. With the large-scale distribution of smart meters in high-density residential communities and increasing data transmission, power saving of smart meter has recently become an attractive research topic in both academia and industry. In this paper, we propose a novel time sequence scheduling based power saving mechanism for controlling the data transmission between smart meters and a sub-data center located in the secondary substation in distribution grid, via establishing two-mode switch target zones in the local smart grid community. We also explore the relationship between the efficiency of power saving based on the new strategy and the number of divided target zones. Simulation results show high performance gian of 50% power saving rate on average, and applicability of the proposed strategy for data transmission in the smart grid when compared to the conventional power management scheme.
电力用户和公用事业公司之间的数据交互是智能电网的显著特征之一。智能电表在数据采集和传输过程中起着核心作用,也是整个配电网体系结构中耗电量最大的设备之一。随着智能电表在高密度小区的大规模分布和数据传输的不断增加,智能电表的节电问题近年来已成为学术界和产业界关注的研究课题。本文提出了一种基于时序调度的新型节电机制,通过在本地智能电网社区中建立双模开关目标区,控制智能电表与配电网二级变电站子数据中心之间的数据传输。我们还探讨了基于新策略的节能效率与划分目标区域数量之间的关系。仿真结果表明,与传统的电源管理方案相比,该策略具有较高的性能,平均节电率可达50%,适用于智能电网中的数据传输。
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引用次数: 2
Software-defined architecture for mobile cloud in device-to-device communication 设备对设备通信中移动云的软件定义架构
Muhammad Usman, Anteneh A. Gebremariam, F. Granelli, D. Kliazovich
Device-to-Device (D2D) communication enables direct communication between nearby user devices using cellular or ad hoc links thereby improving the spectrum utilization, system throughput, and energy efficiency of the network. Exploiting mobile cloud based D2D communication architecture underlying LTE cellular network has a huge importance in reducing the transmission power of the UEs resulting an improved battery life. This paper proposes a novel hybrid D2D communication architecture where a centralized Software-Defined Networking (SDN) controller communicates with the cloud head (CH) in order to reduce the number of LTE communication links thereby improving energy consumption. In addition, UEs can participate and perform operations in multiple clouds simultaneously. The obtained simulation results confirm improved energy efficiency as compared to the legacy LTE network.
设备到设备(D2D)通信允许使用蜂窝或自组织链路在附近用户设备之间进行直接通信,从而提高网络的频谱利用率、系统吞吐量和能源效率。利用LTE蜂窝网络下基于移动云的D2D通信架构对于降低ue的传输功率从而提高电池寿命具有重要意义。本文提出了一种新的混合D2D通信架构,其中集中式软件定义网络(SDN)控制器与云头(CH)通信,以减少LTE通信链路的数量,从而提高能耗。此外,终端可以同时参与多个云中进行操作。与传统LTE网络相比,获得的仿真结果证实了能效的提高。
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引用次数: 10
Throughput and backhaul energy efficiency analysis in two-tier HetNets: A multiobjective approach 双层HetNets的吞吐量和回程能源效率分析:一种多目标方法
H. Pervaiz, Zhengyu Song, Leila Musavian, Q. Ni, Xiaohu Ge
Fifth Generation (5G) networks will compromise of heterogeneous networks (HetNets) with macrocell overlaid with lower power small cells to achieve higher throughput by offloading users with low signal-to-noise-ratio from macrocell to the small cells. In this paper, we proposed a multi-objective optimization problem (MOP) to jointly investigate the tradeoff between throughput and backhaul energy efficiency (BEE) using ω-fair utility function for two different backhauling technologies in downlink transmission scheme of a two-tier HetNets. We then transform the proposed MOP into a single objective optimization problem (SOP) employing the weighted sum method to obtain the complete Pareto Frontier solution set with minimum QoS requirements and rate fairness level ω. The transformed SOP is solved in an iterative manner using Lagrangian Dual Decomposition (LDD) with a subgradient method providing a near-optimal solution. Simulation results demonstrate the effectiveness of our proposed approach in reducing the total area power consumption irrespective of the backhauling technology by dynamically adjusting weighting coefficient α and rate fairness level ω. Our numerical results also demonstrate the fundamental tradeoff between throughput and BEE for different parameters such as weighting coefficient α and rate fairness level ω.
第五代(5G)网络将在异构网络(HetNets)上进行折衷,将宏蜂窝与低功率小蜂窝叠加,通过将信噪比低的用户从宏蜂窝转移到小蜂窝,实现更高的吞吐量。本文提出了一个多目标优化问题(MOP),利用ω-公平效用函数,对两层HetNets下行传输方案中两种不同回程技术的吞吐量和回程能效(BEE)之间的权衡进行了研究。然后,我们利用加权和方法将所提出的MOP转化为单目标优化问题(SOP),以获得具有最小QoS要求和速率公平水平ω的完整Pareto边界解集。变换后的SOP采用拉格朗日对偶分解(LDD)迭代求解,子梯度法给出了近似最优解。仿真结果表明,通过动态调整加权系数α和速率公平水平ω,可以有效地降低与回运技术无关的总面积功耗。我们的数值结果还证明了吞吐量和BEE在不同参数(如权重系数α和速率公平水平ω)下的基本权衡。
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引用次数: 1
Markov models for electric vehicles: the role of battery parameters and charging point frequency 电动汽车马尔可夫模型:电池参数和充电点频率的作用
B. D. Lio, A. V. Guglielmi, L. Badia
Electric vehicles represent a promising choice to decrease pollution and reducing fossil fuel consumption. However, their limited autonomy poses a challenge that prevents them from being suitable for many car users. Several practical solutions are sought to avoid this problem, in particular one may think of enhancing the battery capacity, reducing the charging time, or increasing the frequency of charging points. In this paper, we discuss how these aspects can be integrated by a proper Markov model, thereby offering a neat analytical solution to investigate all these problems. Some preliminary results are also shown to demonstrate the descriptiveness of the model. Further investigation can frame the proposed contribution within an optimization framework, maintaining an analytical context.
电动汽车是减少污染和减少化石燃料消耗的一个很有前途的选择。然而,它们有限的自主性构成了一个挑战,使它们不适合许多汽车用户。为了避免这一问题,人们寻求了几种实用的解决方案,特别是可以考虑提高电池容量,减少充电时间,或增加充电点的频率。在本文中,我们讨论了如何用一个合适的马尔可夫模型来整合这些方面,从而为研究所有这些问题提供了一个简洁的解析解。一些初步结果也证明了模型的描述性。进一步的调查可以在优化框架内构建建议的贡献,保持分析上下文。
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引用次数: 5
Power scheduling for programmable appliances in Microgrids 微电网中可编程设备的电力调度
Juliette Ugirumurera, Z. Haas
Recent advances in computing and communication enable the concept of smart homes that contain programmable appliances. Knowing that most household tasks do not need to be performed at specific times, but rather within a preferred time period, this paper studies the problem of optimal power generation scheduling in an isolated Microgrid, exploiting the flexibility to schedule energy-consuming tasks in smart homes. We formulate the problem as a non-linear optimization problem and present two scheduling protocols to solve it: GA-INT, a genetic algorithm that utilizes task interruptions, and PRO-S, a heuristic-based algorithm, which strives to smooth out peaks in the load profile. Numerical simulations demonstrate that PRO-S successfully reduces the complexity of the problem, while guaranteeing performance that approximates GA-INT's. The latter returns optimal or nearly optimal solutions, but with long execution times.
计算和通信的最新进展使包含可编程设备的智能家居概念成为可能。考虑到大多数家庭任务不需要在特定时间内完成,而是在一个优选时间段内完成,本文研究了孤立微电网中最优发电调度问题,利用智能家居中耗能任务调度的灵活性。我们将这个问题表述为一个非线性优化问题,并提出了两种调度协议来解决它:GA-INT,一种利用任务中断的遗传算法,以及PRO-S,一种基于启发式的算法,它力求平滑负载曲线中的峰值。数值模拟表明,PRO-S成功地降低了问题的复杂性,同时保证了接近GA-INT的性能。后者返回最优或接近最优的解决方案,但执行时间较长。
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引用次数: 0
A reliable and evenly energy consumed routing protocol for underwater acoustic sensor networks 一种可靠且能量消耗均匀的水声传感器网络路由协议
Tongtong Wu, Ning Sun
Vector based forwarding (VBF) routing protocol is a location-based energy efficient routing protocol designed for underwater acoustic sensor networks (UASNs). In this paper a VBF-improved routing protocol is proposed, which uses not only the information of location but also the residual energy and the number of retransmission in last cycle to make decision whether to make data forwarding. According to the simulation results, more evenly energy consumption and reliable data transmission are achieved in our proposed protocol, compared to previous vector-based routing protocols for UASNs.
基于矢量转发(VBF)路由协议是针对水声传感器网络(uasn)设计的一种基于位置的节能路由协议。本文提出了一种改进的vbf路由协议,该协议不仅利用位置信息,而且利用最后一个周期的剩余能量和重传次数来决定是否进行数据转发。仿真结果表明,与现有的基于矢量的uasn路由协议相比,本文提出的协议能耗更均匀,数据传输更可靠。
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引用次数: 8
Improved coded massive MIMO OFDM detection using LLRs derived from complex ratio distributions 改进的编码大规模MIMO OFDM检测利用从复杂的比率分布衍生的llr
Ali J. Al-Askery, C. Tsimenidis, S. Boussakta, J. Chambers
In this paper, a novel receiver is proposed for coded massive Multiple-Input-Multiple-Output systems using Orthogonal Frequency Division Multiplexing (MIMO-OFDM). The receiver utilizes log-likelihood ratios (LLR) derived from complex ratio distributions to model the noise probability density function (PDF) at the output of a zero-forcing detector. These LLRs are subsequently used to improve the performance of the decoding of Low Density Parity Check (LDPC) codes. The Neumann large matrix approximation is employed to simplify the matrix inversion in deriving the PDF. To verify the new findings, Monte Carlo simulations are used to demonstrate the optimality of the fitting between the derived PDF the experimentally obtained histogram of the noise. Further simulations results over time-flat frequency selective multi-path fading channels demonstrated improved performance over equivalent systems using the Gaussian approximation for the PDF of the noise. A significant gain of 1 dB was observed at bit error rate of 10-4 which corresponds to a reduction of approximately 30 receive antenna elements.
本文提出了一种基于正交频分复用(MIMO-OFDM)的大规模编码多输入多输出系统接收机。接收机利用由复比分布导出的对数似然比(LLR)来模拟零强迫探测器输出端的噪声概率密度函数(PDF)。这些llr随后被用于提高低密度奇偶校验(LDPC)码的解码性能。采用诺伊曼大矩阵近似简化了导出PDF时的矩阵反演。为了验证新发现,蒙特卡罗模拟用于证明导出的PDF与实验获得的噪声直方图之间拟合的最优性。在时间平坦频率选择性多径衰落信道上的进一步仿真结果表明,与使用高斯近似噪声PDF的等效系统相比,性能有所提高。在误码率为10-4的情况下,观察到1 dB的显著增益,这相当于减少了大约30个接收天线单元。
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引用次数: 4
Towards a scalable routing approach for Mobile Ad-hoc Networks 面向移动自组织网络的可扩展路由方法
T. Ramrekha, O. Adigun, Alexandros Ladas, Nuwan Weerasinghe, C. Politis
The Internet is evolving towards a two-fold architecture that will comprise of traditional infrastructure based networks as well as emerging self organised autonomic peripheral networks. Such Internet peripheral networks are being termed as the Internet of things (IoT) whereby smart objects and devices will be connected together in a fully distributed fashion to provide ubiquitous services through pervasive networking. Mobile Ad hoc Networks (MANETs) is regarded as one of the pervasive self-organised networks that will play a major role in autonomic future internet communication. There are several wellknown challenges to be addressed in order to enable MANET deployments of large islands of interconnected smart devices. Therefore, in this paper, we perform simulations using the ns-2 software, for various well-known routing protocols for MANETs in order to determine the scalability of these protocols. This paper analyses the scalability of the routing protocols with respect to routing overhead required by approaches while also considering the packet delivery latency, which is an important Quality of Service (QoS) metric.
互联网正朝着双重架构发展,这种架构将包括传统的基于基础设施的网络以及新兴的自组织自主外围网络。这种互联网外围网络被称为物联网(IoT),智能对象和设备将以完全分布式的方式连接在一起,通过无处不在的网络提供无处不在的服务。移动自组织网络(manet)被认为是一种普遍存在的自组织网络,将在自主的未来互联网通信中发挥重要作用。为了实现互联智能设备大岛的MANET部署,有几个众所周知的挑战需要解决。因此,在本文中,我们使用ns-2软件对各种众所周知的manet路由协议进行模拟,以确定这些协议的可扩展性。本文从路由开销的角度分析了路由协议的可扩展性,同时也考虑了作为服务质量(QoS)重要指标的数据包传输延迟。
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引用次数: 9
Load estimation and balancing in heterogeneous wireless networks with cognitive small cells 基于认知小蜂窝的异构无线网络负载估计与均衡
Man Su, C. Foh, R. Tafazolli
A heterogeneous wireless network (HetNet) that consist of macro cells and massively deployed small cells within the same region is one of the solutions to increase network capacity. Cognitive small cells offer an attractive solution for HetNets to minimize the need for coordination between the macro and the small cells. Adequately associating users to the macro and the small cells is critical in heterogeneous wireless networks for load balancing, especially those with cognitive small cells. Ih this paper, we develop a scheme for load balancing in HetNets with cognitive small cells. Our scheme uses a model-based solution to estimate the load measured by the number of active users in cognitive small cells and balances load between the macro and small cells to avoid congestion in small cells. We use simulation to show the accuracy of our model-based solution and effectiveness of our solution.
异构无线网络(HetNet)是增加网络容量的解决方案之一,它由宏蜂窝和在同一区域内大规模部署的小蜂窝组成。认知小单元为HetNets提供了一个有吸引力的解决方案,可以最大限度地减少宏单元和小单元之间的协调需求。在异构无线网络中,将用户与宏单元和小单元充分关联是实现负载平衡的关键,尤其是那些具有认知小单元的网络。本文提出了一种基于认知小单元的HetNets负载均衡方案。我们的方案使用基于模型的解决方案来估计认知小单元中活动用户数量测量的负载,并在宏单元和小单元之间平衡负载以避免小单元中的拥塞。通过仿真验证了基于模型的解决方案的准确性和有效性。
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引用次数: 1
Network densification: Challenges and opportunities in enabling 5G 网络致密化:实现5G的挑战与机遇
Bashar Romanous, Naim Bitar, A. Imran, H. Refai
Network densification is an essential mechanism expected to enable next generation 5G networks to meet the highly anticipated 1000-fold increase in capacity. This article examines the challenges facing network densification, in terms of interference, energy and mobility. Moreover, some of the key technologies envisaged as enablers for next generation network densification (i.e., cloud-radio access and user-centric mechanisms, advanced inter-cell interference cancellation techniques, device-to-device communications, caching, and separation of control and user plane) are discussed. The challenges and opportunities facing dense network deployments presented in this work are critical antecedents for the evolutionary stages of developing envisioned 5G networks.
网络致密化是下一代5G网络实现1000倍容量增长的重要机制。本文从干扰、能源和移动性等方面探讨了网络致密化面临的挑战。此外,还讨论了一些被设想为下一代网络致密化的关键技术(即云无线电接入和以用户为中心的机制,先进的小区间干扰消除技术,设备对设备通信,缓存以及控制和用户平面的分离)。本工作中提出的密集网络部署面临的挑战和机遇是发展设想的5G网络演进阶段的关键先决条件。
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引用次数: 49
期刊
2015 IEEE 20th International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (CAMAD)
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