Split Responsibility Scheduler for Multi-Connectivity in 5G Cellular Networks

Antonioli, Roberto P.; Pettersson, Jonas; Maciel, Tarcísio F.

doi:10.1109/mnet.011.2000129

Cited by 8 publications

(5 citation statements)

References 12 publications

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“…A number of works could be found in literature that consider centralised scheduling in multiconnected networks. For example, in [76] the authors propose Split Responsibility Scheduler (SRS) for 5G networks. The functionalities of the scheduler are divided into two parts: namely Resource Regulator (REG) and Resource Allocator (RA).…”

Section: ) Scheduling In Multi Connected Networkmentioning

confidence: 99%

“…Multi connected [76] • Scheduling functionality is divided into REG and RA • Both centralised and decentralised algorithms can be implemented with the proposed system • Adding and testing new scheduling behavior is easy with the SRS ✓ Medium [78] • Optimisation based resource allocation algorithm for LTE, 5G multi-connectivity networks scheduler uses two different metrics to schedule URLLC and eMBB traffic. Suppose r i (t) denotes the throughput achieved by the scheduler at time t to user i.…”

Section: A Dynamic Schedulingmentioning

confidence: 99%

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A Survey of Scheduling in 5G URLLC and Outlook for Emerging 6G Systems

et al. 2023

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Future wireless communication is expected to be a paradigm shift from three basic service requirements of 5th Generation (5G) including enhanced Mobile Broadband (eMBB), Ultra Reliable and Low Latency communication (URLLC) and the massive Machine Type Communication (mMTC). Integration of the three heterogeneous services into a single system is a challenging task. The integration includes several design issues including scheduling network resources with various services. Specially, scheduling the URLLC packets with eMBB and mMTC packets need more attention as it is a promising service of 5G and beyond systems. It needs to meet stringent Quality of Service (QoS) requirements and is used in time-critical applications. Thus through understanding of packet scheduling issues in existing system and potential future challenges is necessary. This paper surveys the potential works that addresses the packet scheduling algorithms for 5G and beyond systems in recent years. It provides state of the art review covering three main perspectives such as decentralised, centralised and joint scheduling techniques. The conventional decentralised algorithms are discussed first followed by the centralised algorithms with specific focus on single and multi-connected network perspective. Joint scheduling algorithms are also discussed in details. In order to provide an in-depth understanding of the key scheduling approaches, the performances of some prominent scheduling algorithms are evaluated and analysed. This paper also provides an insight into the potential challenges and future research directions from the scheduling perspective.

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Section: ) Scheduling In Multi Connected Networkmentioning

confidence: 99%

Section: A Dynamic Schedulingmentioning

confidence: 99%

A Survey of Scheduling in 5G URLLC and Outlook for Emerging 6G Systems

et al. 2023

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“…The benefits of multi-connectivity are demonstrated in [6]- [9]. In [10], the authors study different degrees of multiconnectivity in 5G in the context of outage probability and associated spectral efficiency.…”

Section: Related Workmentioning

confidence: 99%

Programmability of Connectivity Control

Atanasov¹,

Pencheva²

2021

ELEKTRON ELEKTROTECH

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Network programmability and edge computing as key features of next generation communications enable innovative services. While the programmability is focused on the core network of the fifth-generation system, the edge computing moves the network intelligence to the radio access network. This paper presents a study on the programmability of connectivity control as a function of radio access network using Multi-access Edge Computing. The capability of using more than one radio access technology simultaneously enhances reliability and increases the throughput, especially in dense networks. Opening the radio access network interfaces for programmability of multi-connectivity enables analytics applications to control the device connections to multiple radio links simultaneously based on information of radio conditions, user location or specific policies. The research novelty is in opening the radio access network interfaces for edge applications to access connectivity control.

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“…An important foreseeable application of MC is the interworking among various communication standards and architectures promoting a smoother transition, e.g., between fourth generation (4G) and 5G systems [17]. The MC solution achieves not only higher per-user data rate but also provides mobility robustness, and thus, it can improve the resilience of wireless communications [18]. Additionally, data traffic in NTNs is highly diverse and randomly distributed in the service areas, and arising from various users with different quality-of-service (QoS) requirements [19].…”

Section: Introductionmentioning

confidence: 99%

Energy-Efficient Service-Aware Multi-Connectivity Scheduler for Uplink Multi-Layer Non-Terrestrial Networks

Dazhi

Al-Hraishawi

Shankar

et al. 2023

IEEE Trans. on Green Commun. Netw.

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This paper introduces the concept of energy efficiency (EE) in the uplink with the capability of multi-connectivity (MC) in a multi-orbit non-terrestrial network (NTN), where user terminals (UTs) can be simultaneously served by more than one satellite to achieve higher peak throughput at reduced energy consumption. This concept also considers the service classification of the users, so that network dimensioning is performed in order to satisfy the quality of service (QoS) requirement of users. MC can increase throughput, but this entails increased power consumption at user terminal for uplink transmissions. To this end, an energy-efficient service-aware multi-connectivity (EE-SAMC) scheduling algorithm is developed in this paper to improve the EE of uplink communications. EE-SAMC uses available radio resources and propagation information to intelligently define a dynamic resource allocation pattern, that optimally routes traffic so as to reduce the energy consumption at the UT while ensuring QoS is maximized. EE-SAMC is designed based on the formulation of a non-convex combinatorial problem, it is solved in two ways involving firstly an optimization solution and secondly a heuristic approach. The effectiveness of EE-SAMC is compared with random allocation, round robin and heuristic schedulers in terms of EE, throughput and delay; EE-SAMC outperforms all schedulers.

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Split Responsibility Scheduler for Multi-Connectivity in 5G Cellular Networks

Cited by 8 publications

References 12 publications

A Survey of Scheduling in 5G URLLC and Outlook for Emerging 6G Systems

A Survey of Scheduling in 5G URLLC and Outlook for Emerging 6G Systems

Programmability of Connectivity Control

Energy-Efficient Service-Aware Multi-Connectivity Scheduler for Uplink Multi-Layer Non-Terrestrial Networks

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