Link-Coupled TCP for 5G networks

Beshay, Joseph D.; Nasrabadi, Afshin Taghavi; Prakash, Ravi; Francini, Andrea

doi:10.1109/iwqos.2017.7969170

Cited by 17 publications

(5 citation statements)

References 16 publications

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“…LCTCP (Link-Coupled TCP) proposed in [44] for 5G networks relies on a out-of-band signaling of queue occupancy information between the base station and the end server. The transmitted information is used by the server to adjust its sending rate so that the amount of packets queued at the base station is always aligned with the throughput and delay requirements of the application.…”

Section: Related Workmentioning

confidence: 99%

RAPID: A RAN-aware performance enhancing proxy for high throughput low delay flows in MEC-enabled cellular networks

Diarra

Dabbous²,

Ismail³

et al. 2022

Computer Networks

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Section: Related Workmentioning

confidence: 99%

RAPID: A RAN-aware performance enhancing proxy for high throughput low delay flows in MEC-enabled cellular networks

Diarra

Dabbous²,

Ismail³

et al. 2022

Computer Networks

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“…LCTCP proposed in [2] for 5G networks relies on a out-of-band signaling of queue occupancy information between the base station and the end server. The transmitted information is used by the server to adjust its sending rate so that the amount of packets queued at the base station is always aligned with the throughput and delay requirements of the application.…”

Section: Related Workmentioning

confidence: 99%

“…This phenomenon is observed in startup and steady states of most CCAs (e.g., NewReno, Cubic) since they rely on probing techniques in order to gradually discover the available bandwidth. Although some end-to-end solutions such as model-based (e.g BBR [4]) and crosslayer CCAs (e.g., PBE-CC [31], CQIC [34], LCTCP [2], etc.) have been proposed in order to better utilize the RAN bandwidth while minimizing Round-Trip-Time (RTT) increase, the bufferbloat issues still persist since the proposed algorithms cannot perform well when competing with loss-based CCAs which keep introducing significant RTT increase due to the use of deep buffers in the base stations.…”

Section: Introductionmentioning

confidence: 99%

RAN-aware Proxy-based Flow Control for High Throughput and Low Delay eMBB

Diarra

Dabbous

Ismail³

et al. 2021

Proceedings of the 24th International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

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“…The work on new TCP congestion control algorithms includes work on adapting to the changing characteristics of the internet such as the higher and more variable bandwidths offered by cellular accesses [1,11,34,50,52,80,84], possibly using cross layer approaches [6,10,59,61], but also simple tuning of existing TCP such as increasing the size of the initial window [13,16,66,82].…”

Section: Developments In Transport Control Protocolsmentioning

confidence: 99%

State of the Art and Research Challenges in the Area of Autonomous Control for a Reliable Internet of Services

Mei

Berg²,

Ганчев

et al. 2018

Lecture Notes in Computer Science

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The explosive growth of the Internet has fundamentally changed the global society. The emergence of concepts like service-oriented architecture (SOA), Software as a Service (SaaS), Platform as a Service (PaaS), Infrastructure as a Service (IaaS), Network as a Service (NaaS) and Cloud Computing in general has catalyzed the migration from the information-oriented Internet into an Internet of Services (IoS). This has opened up virtually unbounded possibilities for the creation of new and innovative services that facilitate business processes and improve the quality of life. However, this also calls for new approaches to ensuring quality and reliability of these services. The goal of this book chapter is to first analyze the state-of-the-art in the area of autonomous control for a reliable IoS and then to identify the main research challenges within it. A general background and high-level description of the current state of knowledge is presented. Then, for each of the three subareas, namely the autonomous management and real-time control, methods and tools for monitoring and service prediction, and smart pricing and competition in multi-domain systems, a brief general introduction and background are presented, and a list of key research challenges is formulated. Keywords: Internet of Services (IoS) Á Autonomous control Autonomous management Á Service monitoring Á Service prediction Smart pricing 3 Autonomous Management and Real-Time Control On a fundamental level, the working group WG1, associated with this research sub-area, was primarily concerned with the management and control of networks, services, applications, and compositions of services or applications. Of particular interest were management and control techniques that span multiple levels, e.g., the network and service level.

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Link-Coupled TCP for 5G networks

Cited by 17 publications

References 16 publications

RAPID: A RAN-aware performance enhancing proxy for high throughput low delay flows in MEC-enabled cellular networks

RAPID: A RAN-aware performance enhancing proxy for high throughput low delay flows in MEC-enabled cellular networks

RAN-aware Proxy-based Flow Control for High Throughput and Low Delay eMBB

State of the Art and Research Challenges in the Area of Autonomous Control for a Reliable Internet of Services

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