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2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)最新文献

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Sum of Two Exponentials Based Path Loss Model for Inter-Device Range Estimation using Stochastic Gradient Descent Method 基于两指数和的路径损耗模型的随机梯度下降法器件间距离估计
Deepali Kushwaha, Ankur Pandey, Sudhir Kumar
In this paper, we propose a sum of two exponentials based path loss model for inter-device range estimation using Stochastic Gradient Descent (SGD) method. We observe Bluetooth Received Signal Strength Indication (RSSI) data for short-range distance estimation. Bluetooth location accuracy is very high for short-range localization systems and hence it is widely used in gadgets. This paper proposes a new model for the relationship between distance and three parameters namely RSSI, signal-to-noise ratio (SNR) and the data rate of the Bluetooth signal. We consider four different environments for evaluating various path loss models. The best path loss model for all the parameters is then further used for estimating the distance. We also show that the SGD method outperforms the Gradient Descent (GD) method in terms of location accuracy and is computationally efficient.
在本文中,我们提出了一个基于两个指数和的路径损耗模型,用于随机梯度下降(SGD)方法的器件间距离估计。我们观察了蓝牙接收信号强度指示(RSSI)数据用于短距离估计。蓝牙定位精度高,适用于近距离定位系统,因此在小工具中得到广泛应用。本文提出了一种新的距离与蓝牙信号RSSI、信噪比(SNR)和数据速率三个参数之间关系的模型。我们考虑了四种不同的环境来评估各种路径损耗模型。然后使用所有参数的最佳路径损失模型进一步估计距离。我们还表明,SGD方法在定位精度方面优于梯度下降(GD)方法,并且计算效率高。
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引用次数: 0
SC-RAN: An Energy-Efficient Solution Toward C-IoT Implementation SC-RAN:实现C-IoT的节能解决方案
Byomakesh Mahapatra, Rahul Kumar, A. K. Turuk, S. K. Patra
The enormous increase of wireless and Internet of Things (IoT) devices increase the traffic load and corresponding number of base station (BS). In this paper, different scenario are investigate to reduce the power consumption by redesigning the BS architecture. Small-cell cloud RAN (SC-RAN) is considered to be a better alternative for reducing the power consumption and dissipation in the dense traffic area. Different issues are discuss related to conventional distributed radio access network (D-RAN) with respect to an SC-RAN. We proposed two different power consumption model for both D-RAN and SC-RAN by giving more focus on the energy control parameter of a base band unit. Simulation is carried out at the different traffic load situation for both types of BS by using TU-Vienna LTE simulator. The simulation result shows that around 40-50% energy can be save by redesign the traditional base station architecture in in to SC-RAN.
无线和物联网(IoT)设备的大量增加增加了流量负载和相应的基站(BS)数量。本文研究了不同场景下通过重新设计BS架构来降低功耗的方法。小蜂窝云无线局域网(SC-RAN)被认为是在交通密集区域降低功耗和耗散的较好选择。讨论了传统分布式无线接入网(D-RAN)与SC-RAN相关的不同问题。通过对基带单元能量控制参数的关注,我们提出了D-RAN和SC-RAN两种不同的功耗模型。利用TU-Vienna LTE模拟器对两种类型的BS在不同的流量负载情况下进行了仿真。仿真结果表明,将传统基站结构重新设计为SC-RAN,可节省40-50%的能量。
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引用次数: 1
Blind Signal Digital Modulation Classification through k-medoids Clustering 基于k-介质聚类的盲信号数字调制分类
Gaurav Jajoo, Y. Yadav, S. K. Yadav
Modulation scheme classifier for the received RF signal is proposed in this paper. Modulation classification is an intermediate step between data detection and its demodulation for extracting the final information. Proposed method estimates the carrier frequency offset after downconversion of passband signal with estimated carrier frequency and corrects for it. Signal is sampled with high frequency and symbol rate is estimated. Sampled signal is downsampled to estimated symbol rate to extract the constellation points. For identification of modulation scheme between QAM and PSK of different orders, k-medoids clustering is used. Blindly, k medoids are estimated for k equals to 4, 8, 16 and 64 and similarity to ideal constellation structure is calculated. Final decision for modulation scheme is given in favor for which similarity with ideal constellation structure is maximum. The simulation results for the method shows that different modulation schemes are classified efficiently above 10 dB SNR in presence of Additive White Gaussian Noise. Method proposed is unsupervised and has low computational complexity.
对接收到的射频信号提出了调制方案分类器。调制分类是数据检测和解调之间的中间步骤,用于提取最终信息。该方法利用估计的载波频率估计通带信号下变频后的载波频偏,并对其进行校正。对信号进行高频采样,估计符号率。将采样信号降采样到估计的符号率,提取星座点。为了识别不同阶的QAM和PSK之间的调制方案,采用了k-介质聚类方法。在k = 4、8、16和64时,盲估计k个媒质,计算与理想星座结构的相似度。最后给出了与理想星座结构相似度最大的调制方案。仿真结果表明,在加性高斯白噪声存在的情况下,该方法能有效地分类出信噪比在10 dB以上的不同调制方案。该方法是无监督的,计算复杂度低。
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引用次数: 7
Cost-Efficient Resource Sharing in Ethernet-based 5G Mobile Fronthaul Networks 基于以太网的5G移动前传网络的成本效益资源共享
Yuehua Wu, M. Tornatore, B. Mukherjee
In 5G, Mobile Fronthaul (MF) is referred to as the connection between Remote Radio Head (RRH) and BaseBand processing Unit (BBU) pool. To save cost while satisfying its rising bandwidth demand, we propose a MF Resource-Sharing (MFRS) scheme that allows to share (1) the capacity of the Ethernet network among MF traffic and background traffic and (2) the Baseband Processing Functions (BPFs) among various RRHs. To estimate the resource savings achievable with MFRS, we formulate a routing and BPF placement problem. The goal is to minimize cost in terms of required BPFs under the constraints of latency and network capacity. Simulation results show significant improvement in terms of number of supported RRHs and required BPFs compared to two baseline schemes.
在5G中,移动前传(MF)被称为远程无线电头(RRH)和基带处理单元(BBU)池之间的连接。为了在满足日益增长的带宽需求的同时节省成本,我们提出了一种MF资源共享(MFRS)方案,该方案允许(1)在MF业务和后台业务之间共享以太网的容量,(2)在各个rrh之间共享基带处理功能(bpf)。为了估计MFRS可实现的资源节省,我们制定了路由和BPF放置问题。目标是在延迟和网络容量的限制下最小化所需bpf的成本。仿真结果表明,与两种基准方案相比,该方案在支持的RRHs数量和所需的bpf数量方面有显著改善。
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引用次数: 0
Secure Lightweight Data Transmission Scheme for Vehicular Ad hoc Networks 车载自组织网络的安全轻量级数据传输方案
Harsha Vasudev, Debasis Das
In this digital era, it is very difficult to think of any situation in our daily life that is not using Information and Communication Technology (ICT). It is the main component and infrastructure that empower modern computing. These improvements offer many useful features in automobiles industry as well. It emphasis on the green environment, engines with high performance, secure design, etc. The concept of an intelligent transportation system (ITS) or smart transport includes a large range of methods and applications. The use of embedded intelligence to connect the vehicles, to the infrastructure and central sites make them smart. The smart transportation achieves smart policy goals in the urban environment such as increased mobility, better safety, reduced emissions, minimum fuel usage, and economic competitiveness. The VANET (vehicular ad-hoc network) has the ability to build better solutions for poor road conditions, traffic congestion, weather predictions, driving safety, passenger comfort, and other related applications by exchanging data on the road. However, it is not an easy task to ensure secure data transmission in VANETs due to different challenges such as dynamic topology, different direction, high mobility, etc. In our scheme, we propose a lightweight secure authentication and communication system for VANETs. Our protocol mainly focuses on one of the main application of VANETs, that is warning messages. Analysis and results demonstrate that our protocol outperforms well in different perspectives such as communication cost, storage overhead, and computation time.
在这个数字时代,我们的日常生活中很难想象没有使用信息通信技术(ICT)的情况。它是支持现代计算的主要组件和基础设施。这些改进也为汽车工业提供了许多有用的功能。它强调绿色环保、高性能发动机、安全设计等特点。智能交通系统(ITS)或智能交通的概念包括广泛的方法和应用。使用嵌入式智能将车辆与基础设施和中心站点连接起来,使它们变得智能。智能交通在城市环境中实现了智能政策目标,如增加机动性、提高安全性、减少排放、减少燃料使用和提高经济竞争力。VANET(车辆自组织网络)能够通过交换道路上的数据,为恶劣的道路状况、交通拥堵、天气预测、驾驶安全、乘客舒适度和其他相关应用程序构建更好的解决方案。然而,由于动态拓扑、不同方向、高移动性等不同的挑战,确保vanet中数据的安全传输并非易事。在我们的方案中,我们提出了一个轻量级的安全认证和通信系统。我们的协议主要关注vanet的一个主要应用,即预警消息。分析和结果表明,我们的协议在通信成本、存储开销和计算时间等不同方面都表现出色。
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引用次数: 4
Game Theoretic Resource Allocation in Full Duplex Modes: A Comparative Analysis 全双工模式下的博弈论资源分配:比较分析
Shruti Walekar, Anjana Jain, P. Vyavahare
With the exponential growth of mobile communication tele-density, the next generation mobile networks need to have improved network performance. Full duplex technology increases the spectral efficiency of the wireless communication system. Resource allocation is one the biggest challenges in the present generation wireless network. This paper addresses the problem of resource allocation considering self-interference in full-duplex modes. We have investigated the problem of resource allocation in full duplex modes to jointly maximize the system sum-rate. Simulation results compare the performance two different possible full duplex modes in a single cell network. Furthermore, it is shown that FD-HD mode and FD-FD mode outperforms the HD-HD mode in a single cell network.
随着移动通信密度的指数级增长,下一代移动网络对网络性能提出了更高的要求。全双工技术提高了无线通信系统的频谱效率。资源分配是当前无线网络面临的最大挑战之一。研究了全双工模式下考虑自干扰的资源分配问题。我们研究了全双工模式下的资源分配问题,以共同最大化系统和速率。仿真结果比较了在单蜂窝网络中两种可能的全双工模式的性能。此外,在单个小区网络中,FD-HD模式和FD-FD模式的性能优于HD-HD模式。
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引用次数: 0
Experimental Observations on Hybrid RF-Solar Energy Harvesting Circuit for Low Power Applications 低功耗射频-太阳能混合收集电路的实验观察
Gurinder Singh, Fatima Mumtaz, V. Bohara, A. Srivastava
This paper investigates the performance of hybrid RF-Solar harvesting circuit that can simultaneously harvest power from solar and radio frequency (RF) sources readily available in the surrounding environment. The proposed work utilizes stand-alone RF and solar harvester circuits to realize a hybrid harvester circuit. The stand-alone RF harvester circuit is a dual-band multi-stage harvester that has been designed to work at GSM 900 MHz and Wi-Fi/WLAN bands. The standalone solar harvester circuit comprises of a solar panel with inbuilt rectifier circuit. The output DC voltage is obtained across the load of the two harvester circuits. The load of the two stand-alone harvester circuits are connected in series to provide DC voltage addition ensuring maximum power transfer at the load resistance of the hybrid harvester circuit. The performance of hybrid circuit has been evaluated for outdoor environment at different times over a day. Even when there is a sudden drop in power coming from standalone RF or solar harvester circuit, the power of hybrid harvester circuit does not fall abruptly due to backup from other dominant harvester circuit. This avoids sudden drop in power requirement by a device ensuring its continued operation and safety.
本文研究了一种混合射频-太阳能收集电路的性能,该电路可以同时收集周围环境中现成的太阳能和射频源的能量。提出的工作利用独立射频和太阳能采集器电路来实现混合采集器电路。独立射频采集器电路是一个双频多级采集器,设计用于GSM 900 MHz和Wi-Fi/WLAN频段。独立的太阳能集热器电路由内置整流电路的太阳能板组成。输出直流电压是在两个采集器电路的负载上获得的。两个独立收割机电路的负载串联在一起,以提供直流电压附加,确保在混合收割机电路的负载电阻处传输最大功率。对混合电路在一天内不同时间的室外环境下的性能进行了评估。即使当独立射频或太阳能采集器电路的功率突然下降时,混合采集器电路的功率也不会由于其他主要采集器电路的备份而突然下降。这样可以避免设备的功率需求突然下降,确保设备的持续运行和安全。
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引用次数: 4
Defragmentation Based Load Balancing Routing & Spectrum Assignment (DLBRSA) strategy for elastic optical networks 弹性光网络中基于碎片整理的负载均衡路由与频谱分配策略
Praharsh Deep Singh, D. Yadav, V. Bhatia
In this paper, we propose a defragmentation based load balancing technique for efficiently undertaking routing and spectrum assignment (RSA), and minimizing the fragmentation problem in elastic optical network (EON). In EON, after connections terminate, they leave behind spectrum gaps which con not be re-assigned. To counter this condition, in Defragmentation based Load Balancing Routing and Spectrum Assignment (DLBRSA), the existing connections are reconfigured. At the time of defragmentation, for route selection, among the available shortest routes, the route with the largest chunk of contiguous frequency slots (FSs) is chosen. DLBRSA has three advantages over the conventional Shortest Path RSA (SPRSA) technique: (1) defragmentation increases the network resource utilization, (2) load balancing on the basis of the largest available FS chunk along the route ensures uniform spectrum allocation, and (3) defragmentation ensures that the route length of the request is minimum. The performance of the DLBRSA is analyzed in reference to a benchmark, SPRSA strategy. The comparison is done on the metrics of bandwidth rejected, and the percentage of total network capacity allocated for the EON and NSFNET network topologies. These two parameters are evaluated under the two scenarios of increase in: network load (in Erlang) and number of FSs demand. Simulation results show lower bandwidth blocking probability of DLBRSA from 6.53% to 8.96% under the different load conditions. In addition, decrease of network resource utilization is observed, when we compare the proposed DLBRSA with SPRSA the existing strategy.
本文提出了一种基于碎片整理的负载均衡技术,以有效地进行路由和频谱分配(RSA),并最大限度地减少弹性光网络(EON)中的碎片问题。在EON中,在连接终止后,它们会留下无法重新分配的频谱间隙。为了应对这种情况,在基于碎片整理的负载均衡路由和频谱分配(DLBRSA)中,现有的连接被重新配置。在进行碎片整理时,选择路由时,在可用的最短路由中,选择连续频率槽(FSs)块最大的路由。与传统的最短路径RSA (SPRSA)技术相比,DLBRSA有三个优点:(1)碎片整理提高了网络资源利用率;(2)基于路由上最大的可用FS块进行负载均衡,确保频谱分配均匀;(3)碎片整理确保请求的路由长度最小。参考一个基准,SPRSA策略,分析了DLBRSA的性能。比较了拒绝带宽的指标,以及分配给EON和NSFNET网络拓扑的总网络容量的百分比。这两个参数在网络负载(在Erlang中)和fs需求数量增加的两种情况下进行评估。仿真结果表明,在不同负载条件下,DLBRSA的带宽阻塞概率从6.53%降低到8.96%。此外,当我们将提出的DLBRSA与现有策略的SPRSA进行比较时,可以观察到网络资源利用率的降低。
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引用次数: 6
Smart Device Localization using Femtocell and Macro Base Station Based Path Loss Models in IoT Networks 物联网网络中基于Femtocell和Macro基站的路径损耗模型的智能设备定位
Pinky, Ankur Pandey, Sudhir Kumar
In this paper, a Smart Device (SD) localization method, based on the Path Loss (PL) model of Macro Base Station (MBS) and femtocells, using the convex optimization method is discussed for an Internet of Things (IoT) networks. Localization plays a major role for smart city, smart agriculture, and smart health applications in IoT networks. Global Positioning System (GPS) works well for outdoor positioning but fails to provide accurate locations in an indoor environment and non-line-of-sight (NLOS) paths. We propose the Convex optimization (CO) method that uses the combined effects of the Received Signal Strength (RSS) from macrocells and femtocells. The method requires no additional infrastructure and localizes a Smart Device (SD) in an IoT environment. The Cramèr-Rao Lower Bound (CRLB) is also evaluated to analyze the performance of the estimator. Extensive simulations demonstrate that our proposed method provides an accurate location as compared to Least Square method.
本文讨论了一种基于宏基站(MBS)和飞蜂窝(femtocells)路径损耗(PL)模型的基于凸优化方法的物联网(IoT)网络智能设备(SD)定位方法。在物联网网络中,本地化对智慧城市、智慧农业和智慧健康应用起着重要作用。全球定位系统(GPS)可以很好地用于室外定位,但在室内环境和非视线(NLOS)路径中无法提供准确的位置。我们提出了一种凸优化(CO)方法,该方法利用了来自宏基站和飞基站的接收信号强度(RSS)的综合效应。该方法不需要额外的基础设施,并将智能设备(SD)本地化到物联网环境中。为了分析估计器的性能,还对cram - rao下界(CRLB)进行了评估。大量的仿真表明,与最小二乘法相比,我们提出的方法提供了准确的定位。
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引用次数: 2
Performance Analysis of Improved Energy Detection in Full Duplex Non-Time-Slotted Cognitive Radio 全双工非时隙认知无线电改进能量检测性能分析
Shivam Raval, Dhaval K. Patel, M. López-Benítez
The spectral efficiency of cognitive radio (CR) can be improved by employing full-duplex (FD) systems which enables simultaneous data transmission and spectrum sensing during a given time period, over the same idle channel. Improved Energy Detection (IED) has shown a significant improvement compared to classical energy detection (CED) in half-duplex (HD). Time-slotted cognitive radio networks (CRN) are considered in most of the current works where an assumption is taken that the primary user (PU) and secondary user (SU) are perfectly synchronized. However, in real scenario PU can access and leave the frequency bands in an unsequenced manner and SU is not synchronized with the PU activity which is termed as non-time-slotted access: This paper investigates the IED scheme in full duplex cognitive radio (FDCR) for time-slotted as well as non-time slotted scenarios. The results demonstrate the significance of using IED scheme over existing methods, hence indicating remarkable improvement in the system performance. Based on the proposed scheme, simulation results show an agreement with analytical results, therefore validating the proposed scheme.
认知无线电(CR)的频谱效率可以通过采用全双工(FD)系统来提高,该系统可以在给定时间段内通过相同的空闲信道同时进行数据传输和频谱感知。改进的能量检测(IED)与传统的半双工(HD)能量检测(CED)相比有了显著的改进。时隙认知无线网络(CRN)是目前大多数研究的对象,它假设主用户(PU)和从用户(SU)是完全同步的。然而,在实际场景中,PU可以以无序的方式进入和离开频带,并且SU与PU活动不同步,称为非时隙访问。本文研究了时隙和非时隙场景下全双工认知无线电(FDCR)中的IED方案。结果表明,使用IED方案比现有方法具有重要意义,因此系统性能得到了显着改善。基于所提方案的仿真结果与分析结果吻合,验证了所提方案的有效性。
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引用次数: 0
期刊
2018 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
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