Low-Latency Heterogeneous Networks with Millimeter-Wave Communications

Yang, Guang; Xiao, Ming; Alam, Muhammad; Huang, Yongming

doi:10.1109/mcom.2018.1700874

Cited by 29 publications

(7 citation statements)

References 13 publications

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“…• Channel Modeling: For all links, the path loss (PL), shadow fading (SF), transmit and receive and antenna gains, and fast fading are calculated to estimate the channel of each user, for both desired and interfering links. [8], high frequency communication [9], [10], coexistence and performance optimization [11], energy efficiency, latency, scheduling and load balancing over a heterogeneous network [12], among others. The 5G public-private partnership project (5GPPP) have described several aspects in softwarization, service management and orchestration in their architectural reference [13] which includs, SDN, cloud computing, virtualization, etc.…”

Section: A System Level Simulatormentioning

confidence: 99%

SDN-Sim: Integrating a System-Level Simulator with a Software Defined Network

Ghosh¹,

Busari²,

Dagiuklas³

et al. 2020

IEEE Comm. Stand. Mag.

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With the introduction of diverse technology paradigms in next-generation cellular and vehicular networks, design and structural complexity are skyrocketing. The beyond-5G use cases such as mobile broadband, 5G-V2X and UAV communications require support for ultra-low latency and high throughput and reliability with limited operational complexity and cost. These use cases are being explored in 3GPP Release 16 and 17. To facilitate end-to-end performance evaluation for these applications, we propose SDN-Sim-an integration of a System Level Simulator (SLS) with a Software Defined Network (SDN) infrastructure. While the SLS models the communication channel and evaluates system performance on the physical and data link layers, the SDN performs network and application tasks such as routing, load balancing, etc. The proposed architecture replicates the SLS-defined topology into an SDN emulator for offloading control operations. It uses link and node information calculated by the SLS to compute routes in SDN and feeds the results back to the SLS. Along with the architecture, data modeling and processing, replication and route calculation frameworks are proposed.

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Section: A System Level Simulatormentioning

confidence: 99%

SDN-Sim: Integrating a System-Level Simulator with a Software Defined Network

Ghosh¹,

Busari²,

Dagiuklas³

et al. 2020

IEEE Comm. Stand. Mag.

View full text Add to dashboard Cite

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“…Adopting 5G technology into such systems can significantly reduce the end-to-end delay. Considering huge amount of data and its processing in IIoT applications involving with the cloud, the vision of 5G (one thousand times throughput improvement, 100 billion device connections and close to zero end-to-end latency) [84], [85] overlaps with the principles of advanced mechatronics systems and 4IR considering that industrial robots require rapid decisions without any communication delay. 7 Remote individual health monitoring is also another crucial application of wireless mechatronics within smart health domains.…”

Section: Wireless Communications Assisted Amssmentioning

confidence: 99%

Transformation to Advanced Mechatronics Systems Within New Industrial Revolution: A Novel Framework in Automation of Everything (AoE)

Kuru

Yetgin

2019

IEEE Access

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The recent advances in cyber-physical domains, cloud, cloudlet, and edge platforms along with the evolving Artificial Intelligence (AI) techniques, big data analytics, and cutting-edge wireless communication technologies within the Industry 4.0 (4IR) are urging mechatronics designers, practitioners, and educators to further review the ways in which mechatronics systems are perceived, designed, manufactured, and advanced. Within this scope, we introduce the service-oriented cyber-physical advanced mechatronics systems (AMSs) along with current and future challenges. The objective in AMSs is to create remarkably intelligent autonomous products by 1) forging effective sensing, self-learning, Wisdom as a Service (WaaS), Information as a Service (InaaS), precise decision making, and actuation using effective locationindependent monitoring, control and management techniques with products and 2) maintaining a competitive edge through better product performances via immediate and continuous learning, while the products are being used by customers and are being produced in factories within the cycle of Automation of Everything (AoE). With the advanced wireless communication techniques and improved battery technologies, the AMSs are capable of getting independent and working with other massive AMSs to construct robust, customizable, energy-efficient, autonomous, intelligent, and immersive platforms. In this regard, rather than providing technological details, this paper implements philosophical insights into 1) how mechatronics systems are being transformed into AMSs; 2) how robust AMSs can be developed by both exploiting the wisdom created within cyber-physical smart domains in the edge and cloud platforms and incorporating all the stakeholders with diverse objectives into all phases of the product life-cycle; and 3) what essential common features AMSs should acquire to increase the efficacy of products and prolong their product life. Against this background, an AMS development framework is proposed in order to contextualize all the necessary phases of AMS development and direct all stakeholders to rivet high-quality products and services within AoE. INDEX TERMS Advanced mechatronics systems, Wisdom as a Service (WaaS), Information as a Service (InaaS), Industry 4.0 (4IR), cyber-physical domains, cloud and edge/fog platforms, Automation of Everything (AoE).

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“…It relies on highly directional beamforming at both physical and link layers. Use of mmWave links cooperatively with LTE and in future, 5G NR are also being investigated [12], [18]. In [19], a multipath cooperative routing scheme is proposed with AR/VR applications in mind.…”

Section: Related Workmentioning

confidence: 99%

COded Taking And Giving (COTAG): Enhancing Transport Layer Performance over Indoor Millimeter Wave Access Networks

Wu¹,

Huang²,

Ramanathan³

2019

Preprint

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Millimeter wave (mmWave) access networks have the potential to meet the high-throughput and low-latency needs of immersive applications. However, due to the highly directional nature of the mmWave beams and due to their susceptibility to human-induced blockage, the associated wireless communication links are vulnerable to large fluctuations in channel quality. These large fluctuations result in disproportionately adverse effects on performance of transport layer protocols such as Transmission Control Protocol (TCP). Furthermore, we show in this paper, that TCP continues to significantly under perform even when dual-connectivity is used to combat the effects of channel quality fluctuations. To overcome this challenge, we propose a network layer solution, Coded Taking and Giving (COTAG) scheme to sustain low-latency and high-throughput end-to-end TCP performance. In particular, COTAG creates network encoded packets at the network gateway and each mmWave access point (AP) aiming to adaptively take the spare bandwidth on each link in the network for packet transmission. Further, if one link does not have enough bandwidth, COTAG actively gives up the transmission opportunity via conditionally dropping packets. Consequently, the proposed COTAG actively adapts to changes in mmWave link quality and enhances the TCP performance without jeopardizing the latency of immersive connect delivery. To evaluate the effectiveness of the proposed COTAG, we conduct experiments and simulations using off-the-shelf APs and NS-2. The evaluation results show the proposed COTAG significantly improves end-to-end TCP performance.

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Low-Latency Heterogeneous Networks with Millimeter-Wave Communications

Cited by 29 publications

References 13 publications

SDN-Sim: Integrating a System-Level Simulator with a Software Defined Network

SDN-Sim: Integrating a System-Level Simulator with a Software Defined Network

Transformation to Advanced Mechatronics Systems Within New Industrial Revolution: A Novel Framework in Automation of Everything (AoE)

COded Taking And Giving (COTAG): Enhancing Transport Layer Performance over Indoor Millimeter Wave Access Networks

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