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Bandit learning based stable matching for decentralized task offloading in dynamic fog computing networks 基于匪徒学习的稳定匹配,用于动态雾计算网络中的分散任务卸载
IF 2.9 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-06-01 DOI: 10.23919/JCN.2024.000017
Hoa Tran-Dang;Dong-Seong Kim
This paper deals with the task offloading problem in the dynamic fog computing networks (FCNs) that involves the task and resource allocations between a set of task nodes (TNs) having task computation needs and a set of helper nodes (HNs) having available computing resources. The problem is associated with the presence of selfishness and rational nodes of these nodes, in which the objective of TNs is to minimize the task completion time by offloading the tasks to the HNs while the HNs tend to maximize their monetization of task offloading resources. To tackle this problem, we use the fairness and stability principle of matching theory to assign the tasks of TNs to the resources of HNs based on their mutual preferences in a decentralized manner. However, the uncertainty of computing resource availability of HNs as well as dynamics of QoS requirements of tasks result in the lack of preferences of TN side that mainly poses a critical challenge to obtain a stable and reliable matching outcome. To address this challenge, we develop the first, to our knowledge, Thompson sampling based multi-armed bandit (MAB) learning to acquire better exploitation and exploration trade-off, therefore allowing TNs to achieve the informed preference relations of HNs quickly. Motivated by the above considerations, this paper aims at design a bandit learning based matching model (BLM) to realize the efficient decentralized task offloading algorithms in the dynamic FCNs. Extensive simulation results demonstrate the potential advantages of the TS based learning over the ε-greedy and UCB based baselines.
本文讨论的是动态雾计算网络(FCN)中的任务卸载问题,该问题涉及一组有任务计算需求的任务节点(TN)和一组有可用计算资源的辅助节点(HN)之间的任务和资源分配。该问题与这些节点的自私和理性节点的存在有关,其中 TN 的目标是通过将任务卸载给 HN 来最小化任务完成时间,而 HN 则倾向于最大化任务卸载资源的货币化。为了解决这个问题,我们利用匹配理论的公平性和稳定性原理,以分散的方式将 TN 的任务分配给 HN 的资源。然而,由于 HN 计算资源可用性的不确定性和任务 QoS 要求的动态性,导致 TN 端缺乏偏好,这对获得稳定可靠的匹配结果提出了严峻挑战。为了应对这一挑战,我们开发了我们所知的第一个基于汤普森采样的多臂匪徒(MAB)学习,以获得更好的开发和探索权衡,从而使 TN 能够快速获得 HN 的知情偏好关系。基于上述考虑,本文旨在设计一种基于匪学习的匹配模型(BLM),以实现动态 FCN 中高效的分散任务卸载算法。广泛的仿真结果表明了基于 TS 的学习相对于基于 ε-greedy 和 UCB 的基线的潜在优势。
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引用次数: 0
Matrixmidface Preformed Orbital Implants for Three-Dimensional Reconstruction of Orbital Floor and Medial Wall Fractures: A Prospective Clinical Study. Matrixmidface 预成型眼眶植入物用于眼眶底部和内侧壁骨折的三维重建:前瞻性临床研究
IF 2.9 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-06-01 Epub Date: 2023-04-20 DOI: 10.1177/19433875231171749
Neha Umakant Chodankar, Vikas Dhupar, Francis Akkara, Vathsalya Vijay

Study design: Prospective Interventional study.

Objective: To evaluate the efficiency of Matrixmidface preformed Orbital plates for three-dimensional reconstruction of orbital floor and medial wall fractures.

Methods: This prospective institutional clinical study was conducted on a group of 14 patients who underwent repair of orbital floor and medial wall fracture defects using Matrixmidface Preformed Orbital plates and open reduction and internal fixation of associated fractures. The following parameters were studied preoperative and postoperative enophthalmos, hypoglobus, orbital volume; correction of diplopia, intraoperative and postoperative complications.

Results: All 14 patients were males aged between 19 and 42 years. The most common mode of injury was found to be road traffic accidents (RTAs) followed by self-fall and trauma at workplace. Orbital fractures were associated with other concomitant maxillofacial fractures in 12 patients (85.7%) while 2 patients (14.3%) had pure blowout fractures. Significant improvement of enophthalmos was noted from preoperative period to 1 week, 6 weeks, and 6 months postoperatively (P value .02, .01, and .01, respectively). Out of 11 patients with preoperative hypoglobus, 5 patients (45.45%) had persistent hypoglobus in the immediate postoperative period which reduced to 4 patients (36.36%) at 6 weeks postoperatively (p value .00). The postoperative orbital volume of fractured side ranged from 20.3 cm3 to 26.76 cm3 with a mean of 23.50 cm3 ± 1.74. The mean difference between the volumes of the repaired and uninjured sides was found to be .27 cm3 ± .39 (P value .02) denoting that the reconstruction of the orbit closely approximated that of the uninjured side.

Conclusions: The Matrixmidface Preformed Orbital plate provides exceptional reconstruction of the orbital blowout fracture defects and ensures satisfactory results clinically and radiographically. The plate ensures an approximate recreation of topographical anatomy of the orbit and adequately restores the orbital volume. It provides adequate correction of asymmetry, hypoglobus, enophthalmos and attempts to restore eye movements, without causing any significant postoperative complication.

研究设计前瞻性介入研究:评估 Matrixmidface 预成型眶板用于眶底和内侧壁骨折三维重建的效率:这项前瞻性机构临床研究的对象是14名使用Matrixmidface预成型眶板修复眶底和内侧壁骨折缺损,并对相关骨折进行切开复位和内固定的患者。对以下参数进行了研究:术前和术后眼球突出、眼睑下垂、眼眶体积、复视矫正、术中和术后并发症:14 名患者均为男性,年龄在 19 至 42 岁之间。最常见的受伤方式是道路交通事故,其次是自摔和工伤。12名患者(85.7%)的眼眶骨折同时伴有其他颌面部骨折,2名患者(14.3%)为单纯的爆裂性骨折。从术前到术后 1 周、6 周和 6 个月,眼球震颤均有明显改善(P 值分别为 0.02、0.01 和 0.01)。在术前眼球突出的 11 位患者中,有 5 位患者(45.45%)在术后即刻出现持续性眼球突出,而在术后 6 周时减少到 4 位患者(36.36%)(P 值为 0.00)。骨折侧的术后眼眶体积从 20.3 cm3 到 26.76 cm3 不等,平均为 23.50 cm3 ± 1.74。修复侧和未受伤侧的平均体积差为 0.27 cm3 ± 0.39(P 值 0.02),这表明眼眶的重建与未受伤侧的重建非常接近:Matrixmidface 预成型眼眶钢板可为眼眶井喷骨折缺损提供出色的重建效果,并确保在临床和影像学上获得令人满意的结果。该钢板可确保近似再现眼眶的地形解剖结构,并充分恢复眼眶容积。它能充分矫正不对称、眼球过小、眼球凹陷,并尝试恢复眼球运动,而不会引起任何明显的术后并发症。
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引用次数: 0
Hybrid approaches to PAPR, BER, and PSD optimization in 6G OTFS: Implications for healthcare 优化 6G OTFS 中 PAPR、BER 和 PSD 的混合方法:对医疗保健的影响
IF 2.9 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-06-01 DOI: 10.23919/JCN.2024.000027
Arun Kumar;Sumit Chakravarthy;Nishant Gaur;Aziz Nanthaamornphong
The envisioned smart hospital framework leveraging the sixth-generation (6G) technology aims to enhance healthcare services by ensuring reliable communication across various wireless channel conditions, including both line-of-sight and obstructed paths. However, the traditional orthogonal frequency division multiplexing (OFDM) approach, used in 4G and 5G, struggles with the high Doppler shifts associated with dynamic environments, presenting challenges for burgeoning smart hospital demands. To address this, orthogonal time frequency space (OTFS) modulation is proposed. The OTFS operates effectively across both stationary and highly mobile channels by manipulating delay and Doppler domains. Nevertheless, a high peak-to-average power ratio (PAPR) remains a critical challenge for OTFS implementation within 6G smart hospitals. Elevated PAPR levels can reduce power amplifier efficiency, causing them to operate outside their ideal linear range and impairing battery performance. They also contribute to signal distortion, increased interference, and suboptimal spectrum utilization, which can undermine wireless communication and data integrity. To mitigate the PAPR issue in OTFS, this work introduces a hybrid algorithm that integrates the benefits of the Riemann matrix optimal phase element-based partial transmission sequence (PTS) and selective mapping (SLM), along with A and μ-law complementary algorithms. This study compares the performance of the proposed hybrid algorithm with traditional PAPR reduction techniques by evaluating metrics such as PAPR, bit error rate (BER), and power spectrum density (PSD) within the Rician and Rayleigh fading channels. Simulation outcomes indicate that the hybrid algorithm achieves superior PAPR, BER, and PSD performance with only a marginal increase in complexity when compared with the established methods.
设想中的利用第六代(6G)技术的智能医院框架旨在通过确保在各种无线信道条件(包括视距和障碍路径)下的可靠通信来提升医疗保健服务。然而,4G 和 5G 中使用的传统正交频分复用(OFDM)方法难以应对与动态环境相关的高多普勒频移,这给不断增长的智能医院需求带来了挑战。为解决这一问题,提出了正交时频空间(OTFS)调制。通过操纵延迟和多普勒域,OTFS 可在静止和高度移动信道中有效运行。然而,峰均功率比(PAPR)过高仍然是在 6G 智能医院中实施 OTFS 的关键挑战。PAPR 水平升高会降低功率放大器的效率,使其在理想线性范围之外运行,并损害电池性能。它们还会导致信号失真、干扰增加和频谱利用率低下,从而破坏无线通信和数据完整性。为了缓解 OTFS 中的 PAPR 问题,本研究引入了一种混合算法,该算法综合了基于黎曼矩阵最优相位元的部分传输序列 (PTS) 和选择性映射 (SLM) 以及 A 和 μ 法互补算法的优点。本研究通过评估里氏和瑞利衰落信道中的 PAPR、误码率 (BER) 和功率谱密度 (PSD) 等指标,比较了所提出的混合算法与传统 PAPR 降低技术的性能。仿真结果表明,与既有方法相比,混合算法实现了更优越的 PAPR、误码率和 PSD 性能,而复杂度仅略有增加。
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引用次数: 0
Information for authors 作者须知
IF 2.9 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-06-01 DOI: 10.23919/JCN.2024.000032
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引用次数: 0
Network- and application-aware adaptive congestion control algorithm 网络和应用感知自适应拥塞控制算法
IF 2.9 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-06-01 DOI: 10.23919/JCN.2023.000052
Ramyashree Venkatesh Bhat;Jetmir Haxhibeqiri;Ingrid Moerman;Jeroen Hoebeke
More and more traffic is migrating to private networks in use in various professional environments. With this, there comes a growing diversity in applications, each of them requiring different quality of service. This poses challenges to properly managing such networks, which can span both wired and wireless segments. To tackle the issue of network management and application demands in such networks, we introduce a network- and application-aware adaptive congestion control algorithm, which provides congestion-free service differentiation to the flows in wireless networks in a decentralized manner. The designed algorithm operates based on the real-time network information obtained from in-band network telemetry and aggregated flow information from intermediate nodes. The algorithm performs three times better than the existing CUBIC congestion control algorithm and twice better in a multi-flow architecture. The designed algorithm is the first step towards adaptive transport and application layer protocols which are the future of private professional networks.
越来越多的流量正迁移到各种专业环境中使用的专用网络。随之而来的是应用的日益多样化,每种应用都需要不同的服务质量。这给正确管理此类网络带来了挑战,因为这些网络可能同时跨越有线和无线网段。为了解决此类网络中的网络管理和应用需求问题,我们引入了一种网络和应用感知自适应拥塞控制算法,该算法以分散的方式为无线网络中的流量提供无拥塞服务区分。所设计的算法基于从带内网络遥测中获得的实时网络信息和来自中间节点的聚合流量信息。该算法的性能比现有的 CUBIC 拥塞控制算法好三倍,在多流量架构中则好两倍。所设计的算法是向自适应传输和应用层协议迈出的第一步,而自适应传输和应用层协议正是专业专用网络的未来。
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引用次数: 0
FTN-GFDM detection based on reduced-complexity soft sphere decoding integrated with polar codes 基于与极地编码集成的降低复杂度软球解码的 FTN-GFDM 检测
IF 2.9 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-06-01 DOI: 10.23919/JCN.2024.000018
Mariana Baracat de Mello;Luciano Leonel Mendes;Daniely Gomes Silva;Paulo Ricardo Branco da Silva;Tiago Cardoso Barbosa
In remote rural areas, it is not possible to employ massive multiple-input multiple-output (MIMO), small cells, and ultra-dense networks (UDNs) with the aim of increasing throughput. A solution is to improve the waveform spectral efficiency, integrating faster than Nyquist (FTN) signaling with generalized frequency division multiplexing (GFDM). However, this presents high self-interference in the time and frequency domains, requiring dedicated detectors for performance loss mitigation. Hard decision detection schemes primarily designed for MIMO have been adapted to detect FTN-GFDM signals without degradation of the uncoded bit error rate (BER), but these schemes are suboptimal in terms of capacity as they do not provide all the information contained in log-likelihood ratios (LLRs). We design and evaluate in this paper a soft sphere detector (SD) algorithm for FTN-GFDM that can be integrated with state-of-the-art forward error control (FEC) decoders for good BER performance over mobile channels. The SD detector is combined with polar codes, and the BER and complexity are evaluated for different channel models. The results show that FTN-GFDM can provide high spectrum efficiency gains without significant coded BER losses and with affordable complexity on the receiver side, which makes this waveform an interesting candidate for mobile networks in remote areas.
在偏远的农村地区,不可能采用大规模多输入多输出(MIMO)、小蜂窝和超密集网络(UDN)来提高吞吐量。一种解决方案是提高波形频谱效率,将快于奈奎斯特(FTN)信令与广义频分复用(GFDM)整合在一起。然而,这会在时域和频域产生较高的自干扰,需要专用的检测器来减少性能损失。主要为多输入多输出(MIMO)设计的硬决策检测方案已被用于检测 FTN-GFDM 信号而不会降低未编码误码率(BER),但这些方案在容量方面并不理想,因为它们不能提供对数似然比(LLR)中包含的所有信息。本文设计并评估了一种用于 FTN-GFDM 的软球检测器(SD)算法,该算法可与最先进的前向差错控制(FEC)解码器集成,在移动信道上实现良好的误码率性能。SD 检测器与极性编码相结合,并对不同信道模型的误码率和复杂性进行了评估。结果表明,FTN-GFDM 可以提供较高的频谱效率增益,而不会造成显著的编码误码率损失,接收器端的复杂度也在可承受范围之内,这使得这种波形成为偏远地区移动网络的理想候选波形。
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引用次数: 0
Short-packet communications in wireless energy transfer full-duplex IoT networks with deep learning design 利用深度学习设计无线能量转移全双工物联网网络中的短数据包通信
IF 2.9 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-06-01 DOI: 10.23919/JCN.2024.000015
Toan-Van Nguyen;Thien Huynh-The;Vo-Nguyen Quoc Bao
In this paper, we study wireless energy transfer full-duplex (FD) Internet-of-things (IoT) networks, where multiple FD IoT relays are deployed to assist short-packet communications between a source and a robot destination with multiple antennas in automation factories. Considering two residual interference (RSI) models for FD relays, we propose a full relay selection (FRS) scheme to maximize the e2e signal-to-noise ratio of packet transmissions. We derive the closed-form expressions for the average block error rate (BLER) and throughput of the considered system, based on which the approximation analysis is also carried out. Towards real-time configurations, we design a deep learning framework based on the FRS scheme to accurately predict the average BLER and system throughput via a short inference process. Simulation results reveal the significant effects of RSI models on the performance of FD IoT networks. Furthermore, the CNN design achieves the lowest root-mean-squared error among other schemes such as the conventional CNN and deep neural network. Furthermore, the DL framework can estimate similar BLER and throughput values as the FRS scheme, but with significantly reduced complexity and execution time, showing the potential of DL design in dealing with complex scenarios of heterogeneous IoT networks.
在本文中,我们研究了无线能量传输全双工(FD)物联网(IoT)网络,其中部署了多个 FD 物联网中继器,以协助自动化工厂中具有多个天线的源和机器人目的地之间的短数据包通信。考虑到 FD 中继的两种残余干扰(RSI)模型,我们提出了一种全中继选择(FRS)方案,以最大化数据包传输的 e2e 信噪比。我们推导出了所考虑系统的平均块误码率(BLER)和吞吐量的闭式表达式,并在此基础上进行了近似分析。针对实时配置,我们设计了一个基于 FRS 方案的深度学习框架,通过一个简短的推理过程来准确预测平均 BLER 和系统吞吐量。仿真结果表明,RSI 模型对 FD 物联网网络的性能有显著影响。此外,在传统 CNN 和深度神经网络等其他方案中,CNN 设计实现了最低的均方根误差。此外,DL 框架可以估算出与 FRS 方案相似的 BLER 和吞吐量值,但复杂性和执行时间大大降低,显示了 DL 设计在处理异构物联网网络复杂场景方面的潜力。
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引用次数: 0
Towards 5G-advanced NR-unlicensed systems: Physical layer design and performance 迈向 5G 先进的非授权 NR 系统:物理层设计与性能
IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-04-01 DOI: 10.23919/JCN.2024.000002
Julius Ssimbwa;Seok-Hyun Yoon;Yeongrok Lee;Young-Chai Ko
In the pursuit of a highly reliable and low-latency-enabled 5G-advanced new radio unlicensed (NR-U) system, addressing the challenge of high error rates and high signaling overhead transmissions remains key to improving network performance. In this context, to reduce error rates, mechanisms such as retransmissions can be employed. However, performing multiple retransmissions comes at the cost of utilizing extra transmission resources, which in turn affects the spectral efficiency of the network. This would further necessitate proper scheduling to alleviate resource wastage and undesirable collisions during data transmission. In this article, we provide an overview of the design specifications of the long-term evolution-license assisted access (LTE-LAA) technology and the prospective enhancements to enable NR-U operation in bands beyond 7 GHz. Additionally, we examine the configurations of selected design features to enable NR-U scheduling. Specifically, we illustrate the benefits and the limitations of the choice of the switching pattern under the frame structure, the feedback value type under the hybrid automatic repeat request (HARQ) procedure, and the timing parameters under the radio link control (RLC) layer. Besides, we present simulation results to depict the impact of the configurations mentioned above on the performance of NR-U.
在追求高可靠性和低延时的 5G 先进新无线电非授权(NR-U)系统的过程中,解决高错误率和高信令开销传输的挑战仍然是提高网络性能的关键。在这种情况下,为了降低错误率,可以采用重传等机制。然而,进行多次重传的代价是需要利用额外的传输资源,这反过来又会影响网络的频谱效率。这就进一步要求进行适当的调度,以减少数据传输过程中的资源浪费和不必要的碰撞。在本文中,我们将概述长期演进-许可辅助接入(LTE-LAA)技术的设计规范,以及在 7 GHz 以上频段实现 NR-U 操作的前瞻性改进。此外,我们还研究了选定设计功能的配置,以实现 NR-U 调度。具体来说,我们说明了在帧结构下选择切换模式、在混合自动重复请求(HARQ)程序下选择反馈值类型以及在无线链路控制(RLC)层下选择定时参数的好处和局限性。此外,我们还给出了仿真结果,以说明上述配置对 NR-U 性能的影响。
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引用次数: 0
An efficient tasks offloading procedure for an integrated edge-computing architecture 集成边缘计算架构的高效任务卸载程序
IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-04-01 DOI: 10.23919/JCN.2024.000004
Benedetta Picano;Romano Fantacci
The advent of sixth-generation networks has given rise to numerous challenges, requiring the synergistic exploitation of both ground and air edge computing facilities. This paper considers an integrated ground-air edge computing scenario where the computation offloading of a set of delay sensitive tasks has to be performed in a context where ground and air computational facilities are already involved in monitoring and control proceduers in a remote area under an unpredictable overload of computation requests, e.g., related to the management of an emergency situation. In this reference, a matching game is proposed to assign tasks to the most suitable computation nodes, in order to minimize the outage probability of the newly arrived tasks, i.e., the probability with which tasks experience a completion time greater than the corresponding deadline. To this regard, we have considered that new allocated task suffer for a waiting time due to the time needed to complete the service of all the tasks already in the ground or air computation node. As a consequence, to statistically characterize such waiting time, under proper assumptions, we have resorted to the G/G/1 queuing system model and the Lindley's integral equation approach to define a suitable metric to formulate a tasks allocation procedure based on the matching theory. Furthermore, matching stability has been theoretically proved for the proposed approach. Finally, numerical results have been provided in order to highlight the better behavior of the proposed task allocation scheme in comparison with different state-of-the-art alternatives.
第六代网络的出现带来了众多挑战,需要协同利用地面和空中的边缘计算设施。本文考虑了一种地空一体化边缘计算场景,在这种场景下,地面和空中计算设施已经参与到偏远地区的监控程序中,在不可预测的超负荷计算请求(例如与紧急情况管理相关的计算请求)下,必须对一组延迟敏感任务进行计算卸载。在这一参考文献中,我们提出了一种匹配博弈方法,将任务分配给最合适的计算节点,以尽量减少新到达任务的中断概率,即任务完成时间大于相应截止时间的概率。为此,我们考虑到新分配的任务由于需要时间来完成已在地面或空中计算节点中的所有任务的服务,因此需要等待一段时间。因此,为了在适当的假设条件下统计这种等待时间的特征,我们采用了 G/G/1 队列系统模型和林德利积分方程方法来定义一个合适的度量,以制定基于匹配理论的任务分配程序。此外,我们还从理论上证明了拟议方法的匹配稳定性。最后,还提供了数值结果,以突出所提任务分配方案与最先进的其他方案相比具有更好的性能。
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引用次数: 0
Open access publishing agreement 开放存取出版协议
IF 3.6 3区 计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Pub Date : 2024-04-01 DOI: 10.23919/JCN.2024.000021
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引用次数: 0
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