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2018 15th International Symposium on Wireless Communication Systems (ISWCS)最新文献

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A Delay and Traffic Balancing Sensitive Scheme for User Association in Limited Fronthaul H-CRAN s 有限前传H-CRAN中用户关联延迟和流量均衡敏感方案
Pub Date : 2018-08-01 DOI: 10.1109/ISWCS.2018.8491053
Shaobo Liu, Biling Zhang, Jung-Lang Yu, Zhu Han
In order to fully exploit the potentials of the heterogeneous cloud radio access networks (H-CRANs), how to associate the user equipments (UEs) with the appropriate low power nodes (LPNs) is a very essential problem. However, when the fronthaul constraint is limited, the UEs are sensitive to delay, and the LPNs are concerned about the traffic balancing, such a problem has not gained enough attention. In this paper, the aforementioned user association problem is investigated and formulated as a bidirectional matching game, where the UEs are seeking to access the most preferred LPN while the LPNs are seeking to accept the most preferred UEs. To find the solution to the proposed game, an iteration algorithm is proposed, and its computational complexity and convergence are proved as well. Simulation results show that our proposed user association scheme is effective and outperforms the existing schemes-in terms of achieved data rates, delay, traffic balancing and overall utility.
为了充分发挥异构云无线接入网(H-CRANs)的潜力,如何将用户设备(ue)与合适的低功率节点(lpn)相关联是一个非常关键的问题。然而,在前传约束有限的情况下,ue对时延敏感,lpn关注流量均衡,这一问题没有得到足够的重视。本文研究了上述用户关联问题,并将其表述为一个双向匹配博弈,其中终端寻求访问最优选的LPN,而LPN寻求接受最优选的终端。为了求解所提出的博弈,提出了一种迭代算法,并证明了其计算复杂度和收敛性。仿真结果表明,我们提出的用户关联方案是有效的,并且在实现的数据速率、延迟、流量平衡和整体效用方面优于现有方案。
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引用次数: 0
Integrate Topology Control with Multi Path Routing to Enhance the Sensor Network Lifetime 将拓扑控制与多路径路由相结合,提高传感器网络寿命
Pub Date : 2018-08-01 DOI: 10.1109/ISWCS.2018.8491252
B. Zebbane, M. Chenait
In Wireless Sensor Networks, sensor nodes dissipate energy while sensing, processing, transmitting or receiving data to fulfil the mission required by the application. Measurements have shown that among of these major activities, a sensor node expends maximum energy in data communication. Since the sensor lifetime depends largely on the energy amount of its battery, consumption must be well controlled in order to maximize its lifetime after deployment. Topology control and energy efficient routing are among the most important energy conserving techniques in WSNs. However, research on the relation between topology control based sleep-scheduling and routing is very limited. In this paper, we propose a framework which integrates sleep scheduling-based topology control with multi path routing in order to exploit, more efficiently, the topology resulting after running any topology control protocol. A load balancing mechanism is adopted using a new metric that defines a priority for each path. Simulation results show the effectiveness of the proposed framework in terms of Network lifetime, Energy consumption and Throughput.
在无线传感器网络中,传感器节点在感知、处理、发送或接收数据以完成应用所需任务的同时消耗能量。测量表明,在这些主要活动中,传感器节点在数据通信中消耗的能量最大。由于传感器寿命在很大程度上取决于其电池的能量,因此必须很好地控制消耗,以便在部署后最大限度地延长其寿命。拓扑控制和节能路由是无线传感器网络中最重要的节能技术。然而,基于拓扑控制的睡眠调度与路由之间关系的研究非常有限。在本文中,我们提出了一个将基于睡眠调度的拓扑控制与多路径路由相结合的框架,以便更有效地利用运行任何拓扑控制协议后产生的拓扑。采用了一种负载平衡机制,该机制使用一种新的度量来定义每个路径的优先级。仿真结果表明了该框架在网络寿命、能耗和吞吐量方面的有效性。
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引用次数: 2
Edge-Assisted Congestion Control Mechanism for 5G Network Using Software-Defined Networking 基于软件定义网络的5G网络边缘辅助拥塞控制机制
Pub Date : 2018-08-01 DOI: 10.1109/ISWCS.2018.8491233
M. Nasimi, Mohammad Asif Habibi, B. Han, H. Schotten
In order to cope with explosive growth of data traffic which is associated with a wide plethora of emerging application and services that are expected to be used by both ordinary users and vertical industries, congestion control mechanism is considered to be vital. In this paper, we proposed a congestion control mechanism that could function within the framework of Multi-Access Edge Computing (MEC). The proposed mechanism is aiming to make real time decision for selectively buffering traffic, while taking network condition and Quality of Service (QoS) into consideration. In order to support a MEC-assisted scheme, the MEC server is expected to locally store delay-tolerant data traffics until the delay conditions expire. This enables network to have better control over the radio resource provisioning of higher priority data. To achieve this, we introduced a dedicated function known as Congestion Control Engine (CCE), which can capture Radio Access Network (RAN) condition through Radio Network Information Service (RNIS) function, and use this knowledge to make real time decision for selectively offloading traffic so that it can perform more intelligently. Analytical evaluation results of our proposed mechanism confirms that it can alleviate network congestion more efficiently.
为了应对与大量新兴应用程序和服务相关的数据流量的爆炸性增长,这些应用程序和服务预计将被普通用户和垂直行业使用,拥塞控制机制被认为是至关重要的。在本文中,我们提出了一种可以在多访问边缘计算(MEC)框架内运行的拥塞控制机制。该机制在考虑网络状况和服务质量(QoS)的前提下,能够对流量的选择性缓冲做出实时决策。为了支持MEC辅助方案,MEC服务器应该在本地存储可容忍延迟的数据流量,直到延迟条件到期。这使网络能够更好地控制高优先级数据的无线电资源供应。为了实现这一目标,我们引入了一个名为拥塞控制引擎(CCE)的专用功能,它可以通过无线网络信息服务(RNIS)功能捕获无线接入网(RAN)状况,并利用这些信息做出实时决策,选择性地卸载流量,使其能够更智能地执行。分析评估结果表明,该机制能够更有效地缓解网络拥塞。
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引用次数: 23
Joint Hybrid Precoding Based on Orthogonal Codebook in Millimeter Wave Systems 基于正交码本的毫米波系统联合混合预编码
Pub Date : 2018-08-01 DOI: 10.1109/ISWCS.2018.8491090
Mingyang Cui, Wei-chen Zou
Hybrid precoding has been proposed as a promising technology for millimeter wave (mmWave) systems recently. However, the complexity of hybrid precoding for mm Wave multiple-input multiple-output systems is still high. In this paper, we propose a low-complexity joint hybrid precoding algorithm. By introducing the concept of equivalent channel, the hybrid precoding problem can be formulated as the problem of maximizing the gain of the equivalent channel. To solve this problem, we jointly design the radio-frequency precoder and combiner by selecting the appropriate codewords in an orthogonal codebook. Then, we complete the baseband precoder and combiner jointly through the singular value decomposition of the equivalent channel. The simulation results show that comparing with classical orthogonal matching pursuit algorithm, the proposed algorithm could achieve similar performance with much lower complexity. Furthermore, the proposed algorithm will be more efficient with the increase of antennas.
混合预编码是一种很有前途的毫米波(mmWave)系统技术。然而,对于毫米波多输入多输出系统,混合预编码的复杂性仍然很高。本文提出了一种低复杂度联合混合预编码算法。通过引入等效信道的概念,将混合预编码问题表述为等效信道增益最大化问题。为了解决这一问题,我们通过在正交码本中选择合适的码字,共同设计射频预编码器和组合器。然后,通过等效信道的奇异值分解,共同完成基带预编码器和组合器。仿真结果表明,与经典的正交匹配追踪算法相比,该算法能够以更低的复杂度获得相似的性能。此外,随着天线数量的增加,算法的效率也会提高。
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引用次数: 2
On Guaranteeing End-to-End Network Slice Latency Constraints in 5G Networks 5G网络端到端网络切片时延约束保障研究
Pub Date : 2018-08-01 DOI: 10.1109/ISWCS.2018.8491249
Lanfranco Zanzi, Vincenzo Sciancalepore
The upcoming 5th generation (5G) of mobile networks is being designed to significantly improve the performance of the current network deployments by introducing more flexibility and scalability while, at the same time, optimizing the spectrum utilization and energy efficiency of radio communications. Among such novelties, Network Slicing is emerging as the key-concept in the 5G landscape, able to provide the means for the concurrent deployment of heterogeneous services over a common physical network. In this paper, we investigate current technologies, open issues and possible solutions while addressing the most critical requirement envisioned with the advent of advanced services, i.e., the provisioning of stringent end-to-end delay guarantees as a pillar of the novel Ultra Reliable and Low Latency Communication (URLLC) service type.
即将到来的第五代(5G)移动网络旨在通过引入更大的灵活性和可扩展性来显著提高当前网络部署的性能,同时优化无线电通信的频谱利用率和能源效率。在这些新奇事物中,网络切片正在成为5G领域的关键概念,能够为在公共物理网络上并发部署异构服务提供手段。在本文中,我们研究了当前的技术、开放的问题和可能的解决方案,同时解决了随着先进服务的出现而设想的最关键的需求,即提供严格的端到端延迟保证,作为新型超可靠和低延迟通信(URLLC)服务类型的支柱。
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引用次数: 13
5G New Radio Base-Station Sensitivity and Performance 5G新型无线基站的灵敏度和性能
Pub Date : 2018-08-01 DOI: 10.1109/ISWCS.2018.8491061
Elena Peralta, Toni Levanen, T. Ihalainen, Sari Nielsen, M. Ng, M. Renfors, M. Valkama
In this paper, we address and analyze the receiver reference sensitivity requirements for the 5G New Radio (NR) wireless communications systems, which relate to the SNR requirements at the base station to reach 95 % of the maximum throughput defined for fixed reference channels. Based on the latest 3GPP specifications and evaluation assumptions agreed for Release 15, a wide set of different transmission bandwidths and radio interface numerologies are investigated, at sub-6GHz and millimeter-wave frequency ranges, covering both AWGN and fading channel scenarios as well as varying mobility conditions. The performance results in terms of the relative throughput and block error rate using LDPC coding scheme are presented and analyzed, while for comparison purposes also LTE turbo code based results are provided. The results show that in frequency-selective channels, the reference sensitivity and UL radio link performance are systematically better with LDPC code compared to turbo code. The results also indicate that the purely front-loaded demodulation reference signal (DM-RS) based system can outperform the corresponding two DM-RS based system even at higher velocities and high center frequencies, allowing low decoding latency and efficient pipelined receiver processing.
在本文中,我们解决并分析了5G新无线电(NR)无线通信系统的接收器参考灵敏度要求,这涉及到基站的信噪比要求,以达到固定参考信道定义的最大吞吐量的95%。基于最新的3GPP规范和第15版商定的评估假设,在6ghz以下和毫米波频率范围内,研究了一系列不同的传输带宽和无线电接口数字,涵盖了AWGN和衰落信道场景以及不同的移动性条件。提出并分析了LDPC编码方案在相对吞吐量和分组错误率方面的性能结果,同时提供了基于LTE turbo码的结果进行比较。结果表明,在频率选择信道中,LDPC码的参考灵敏度和UL无线电链路性能明显优于turbo码。结果还表明,基于纯前置解调参考信号(DM-RS)的系统即使在更高的速度和高中心频率下也能优于相应的两个基于DM-RS的系统,从而实现低解码延迟和高效的管道接收器处理。
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引用次数: 7
Distributed Delay Tolerant Protocol 分布式容忍延迟协议
Pub Date : 2018-08-01 DOI: 10.1109/ISWCS.2018.8491228
Pedro M. Gameiro, R. Rocha
A cubesat is a very small, low cost, artificial satellite designed for space research purposes, very popular in the academic community. The ISTsat-1 is the first cubesat being developed in Instituto Superior Tecnico (IST)[1], with a IU size (103cm cube). In space, communication links are typically unstable, with high delays and low throughputs and where disruptions can be frequent. This motivated the creation of Delay/Disruptive Tolerant Network (DTN) protocols, a concept designed to deal with the characteristic problems of disruptive environments. However, even with DTN, the transmission of big data files can be difficult. This is specially true in the case of cubesats, working typically in Low Earth Orbits (LEO), which suffer from very long disruptions periods with the Ground Stations (GS) on Earth. In this project we intend to create an enhanced solution, a distributed DTN protocol capable of performing normal DTN tasks, but in a manner where a single transmission can be distributed over different GS, thus increasing the number of links, reducing the disruption time periods and increasing the much needed performance of space transmissions.
立方体卫星是为空间研究目的而设计的一种非常小、成本低的人造卫星,在学术界非常受欢迎。ISTsat-1是意大利高等技术研究所(IST)正在开发的第一颗立方体卫星[1],尺寸为国际单位(103厘米的立方体)。在太空中,通信链路通常不稳定,具有高延迟和低吞吐量,并且可能经常中断。这激发了延迟/中断容忍网络(DTN)协议的创建,这是一个旨在处理中断环境特征问题的概念。然而,即使使用DTN,大数据文件的传输也可能很困难。这在立方体卫星的情况下尤其如此,立方体卫星通常在低地球轨道(LEO)工作,与地球上的地面站(GS)有很长时间的中断。在这个项目中,我们打算创建一个增强的解决方案,一个能够执行正常DTN任务的分布式DTN协议,但在某种程度上,单个传输可以分布在不同的GS上,从而增加链路的数量,减少中断时间,提高空间传输急需的性能。
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引用次数: 2
Deep Reinforcement Learning based Resource Allocation in Low Latency Edge Computing Networks 基于深度强化学习的低延迟边缘计算网络资源分配
Pub Date : 2018-08-01 DOI: 10.1109/ISWCS.2018.8491089
Tianyu Yang, Yulin Hu, M. C. Gursoy, A. Schmeink, R. Mathar
In this paper, we investigate strategies for the allocation of computational resources using deep reinforcement learning in mobile edge computing networks that operate with finite blocklength codes to support low latency communications. The end-to-end (E2E) reliability of the service is addressed, while both the delay violation probability and the decoding error probability are taken into account. By employing a deep reinforcement learning method, namely deep Q-learning, we design an intelligent agent at the edge computing node to develop a real-time adaptive policy for computational resource allocation for offloaded tasks of multiple users in order to improve the average E2E reliability. Via simulations, we show that under different task arrival rates, the realized policy serves to increase the task number that decreases the delay violation rate while guaranteeing an acceptable level of decoding error probability. Moreover, we show that the proposed deep reinforcement learning approach outperforms the random and equal scheduling benchmarks.
在本文中,我们研究了在移动边缘计算网络中使用深度强化学习来分配计算资源的策略,这些网络使用有限块长度的代码来支持低延迟通信。在考虑了延迟违反概率和译码错误概率的同时,解决了端到端可靠性问题。我们采用深度强化学习方法,即深度q -学习,在边缘计算节点设计智能代理,针对多用户的卸载任务制定计算资源的实时自适应分配策略,以提高端到端平均可靠性。仿真结果表明,在不同的任务到达率下,所实现的策略能够在保证译码错误概率达到可接受水平的同时,增加任务数量,从而降低延迟违反率。此外,我们表明所提出的深度强化学习方法优于随机和均等调度基准。
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引用次数: 99
MIMO Time-Interleaved Block Windowed Burst OFDM with Iterative Frequency Domain Equalization 基于迭代频域均衡的MIMO时间隔块加窗突发OFDM
Pub Date : 2018-08-01 DOI: 10.1109/ISWCS.2018.8491215
Andreia Pereira, Pedro Bento, M. Gomes, R. Dinis, V. Silva
This paper considers multiple-input multiple-output (MIMO) schemes employing the recently proposed time-interleaved block windowed burst-OFDM (TIBWB-OFDM) modulation combined with frequency-domain receivers based on the iterative block decision feedback equalization (IB-DFE) principle, concerning an uplink transmission. It is shown that TIBWB-OFDM technique is easily combined with MIMO systems, allowing efficient spectral usage with low out-of-band (OOB) emissions as well as gains in terms of power efficiency. In addition, its additional diversity associated with the capabilities of the powerful IB-DFE equalizer, that although requiring matrix inversions, it can provide excellent results, makes this combination of techniques interesting for scenarios with moderate number of antenna-elements, where the complexity can be manageable.
本文考虑了多输入多输出(MIMO)方案,采用最近提出的时间交错块窗突发ofdm (TIBWB-OFDM)调制结合基于迭代块决策反馈均衡(IB-DFE)原理的频域接收机,用于上行传输。结果表明,TIBWB-OFDM技术很容易与MIMO系统相结合,允许有效的频谱使用,低带外(OOB)发射以及功率效率方面的增益。此外,它的额外多样性与强大的IB-DFE均衡器的功能相关,尽管需要矩阵反转,但它可以提供出色的结果,使得这种技术组合对于具有中等数量的天线元件的场景很有趣,其中复杂性可以管理。
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引用次数: 2
Information- Theoretic Analysis of D2D-Aided Pipelined Content Delivery in Fog-RAN Fog-RAN中d2d辅助流水线内容传递的信息论分析
Pub Date : 2018-08-01 DOI: 10.1109/ISWCS.2018.8491204
Roy Karasik, O. Simeone, S. Shamai
In a Fog-Radio Access Network (F-RAN), edge caching and fronthaul connectivity to a cloud processor are utilized for the purpose of content delivery. Additional Device-to-Device (D2D) communication capabilities can support the operation of an F - RAN by alleviating fronthaul and cloud processing load, and reducing the delivery time. In this work, basic limits on the normalized delivery time (NDT) metric, which captures the high signal-to-noise ratio worst-case latency for delivering any requested content to the users, are derived. Assuming proactive offline caching, out-of-band D2D communication, and an F-RAN with two edge nodes and two users, an information-theoretically optimal caching and delivery strategy is presented. Unlike prior work, the NDT performance is studied under pipelined transmission, whereby the edge nodes transmit on the wireless channel while simultaneously receiving messages over the fronthaul links, and the users transmit messages over the D2D links while at the same time receiving on the wireless channel. Insights are provided on the regimes in which D2D communication is beneficial, and the maximum improvement to the latency is characterized.
在雾式无线接入网(F-RAN)中,边缘缓存和到云处理器的前传连接被用于内容交付目的。额外的设备对设备(D2D)通信功能可以通过减轻前传和云处理负载以及缩短交付时间来支持F - RAN的运行。在这项工作中,导出了标准化交付时间(NDT)度量的基本限制,该度量捕获了向用户交付任何请求内容的高信噪比最坏情况延迟。假设主动离线缓存、带外D2D通信和具有两个边缘节点和两个用户的F-RAN,提出了一种信息理论最优的缓存和传输策略。与先前的工作不同,本文研究了管道传输下的NDT性能,即边缘节点在无线信道上发送消息同时在前传链路上接收消息,用户在D2D链路上发送消息同时在无线信道上接收消息。提供了对D2D通信有利的机制的见解,并描述了对延迟的最大改进。
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引用次数: 7
期刊
2018 15th International Symposium on Wireless Communication Systems (ISWCS)
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