Dynamic Multiconnectivity Based Joint Scheduling of eMBB and uRLLC in 5G Networks

Zhang, Kangjie; Xu, Xiaodong; Zhang, Jingxuan; Zhang, Bufang; Tao, Xiaofeng; Zhang, Yuantao

doi:10.1109/jsyst.2020.2977666

Cited by 36 publications

(19 citation statements)

References 26 publications

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“…In [92], a joint scheduling framework is proposed with traffic steering for eMBB and URLLC. However, to attain these, an autonomous intelligent service-aware SON is required for the such network with control functions at a network layer central unit, and various edge and core servers [93].…”

Section: Critical Mmtc Use Cases and Existing Solutionsmentioning

confidence: 99%

Towards Enabling Critical mMTC: A Review of URLLC Within mMTC

et al. 2020

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Massive machine-type communication (mMTC) and ultrareliable and low-latency communication (URLLC) are two key service types in the fifth-generation (5G) communication systems, pursuing scalability and reliability with low-latency, respectively. These two extreme services are envisaged to agglomerate together into critical mMTC shortly with emerging use cases (e.g., wide-area disaster monitoring, wireless factory automation), creating new challenges to designing wireless systems beyond 5G. While conventional network slicing is effective in supporting a simple mixture of mMTC and URLLC, it is difficult to simultaneously guarantee the reliability, latency, and scalability requirements of critical mMTC (e.g., < 4ms latency, 106 devices/km 2 for factory automation) with limited radio resources. Furthermore, recently proposed solutions to scalable URLLC (e.g., machine learning aided URLLC for driverless vehicles) are ill-suited to critical mMTC whose machine type users have extremely limited energy budget and computing capability that should be tightly optimized for given tasks. In view of this, this paper aims to characterize promising use cases of critical mMTC and search for their possible solutions. To this end, we first review the state-of-theart (SOTA) technologies for separate mMTC and URLLC services and then identify key challenges from conflicting SOTA requirements, followed by potential approaches to prospective critical mMTC solutions at different layers. Index Terms-Ultra reliable low latency communication (URLLC), massive machine type communications (mMTC), critical mMTC, 5G, beyond 5G.

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Section: Critical Mmtc Use Cases and Existing Solutionsmentioning

confidence: 99%

Towards Enabling Critical mMTC: A Review of URLLC Within mMTC

et al. 2020

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“…In 5G, two technologies that provide versatile coexistence are flexible physical layer structure and network slicing. Features such as BSspecific frequency band and transmission time interval length greatly affect the guarantee of traffic requirements [76]. To reduce latency, the channel block length is finite in packet transmission, leading to poor transmission rate and better probability of decoding error [77].…”

Section: H Ultra-reliable Low-latency Communicationmentioning

confidence: 99%

A Comprehensive Survey on Mobility Management in 5G Heterogeneous Networks: Architectures, Challenges and Solutions

et al. 2020

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With the rapid increase in the number of mobile users, wireless access technologies are evolving to provide mobile users with high data rates and support new applications that include both human and machine-type communications. Heterogeneous networks (HetNets), created by the joint installation of macro cells and a large number of densely deployed small cells, are considered an important solution to deal with the increasing network capacity demands and provide high coverage to wireless users in future fifth generation (5G) wireless networks. Due to the increasing complexity of network topology in 5G HetNets with the integration of many different base station types, in 5G architecture mobility management has many challenges. Intense deployment of small cells, along with many advantages it provides, brings important mobility management problems such as frequent handover (HO), HO failure, HO delays, ping-pong HO and high energy consumption which will result in lower user experience and heavy signal loads. In this paper, we provide a comprehensive study on the mobility management in 5G HetNet in terms of radio resource control, the initial access and registration procedure of the user equipment (UE) to the network, the paging procedure that provides the location of the UE within the network, connected mode mobility management schemes and beam level mobility and beam management. Besides, this paper addresses the challenges and suggest possible solutions for the 5G mobility management.

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“…Moreover, at present, URLLC services are expected to have lower traffic volumes than eMBB services [10], while this might not hold in the future for applications such as virtual reality and haptics. In this framework, the design of radio resource allocation strategies for URLLC traffic when coexisting with eMBB has been a focal point of recent research efforts [11]- [14].…”

Section: Introductionmentioning

confidence: 99%

Scheduling Optimization of Heterogeneous Services by Resolving Conflicts

Skaperas,

Ferdosian,

Chorti

et al. 2021

Preprint

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Fifth generation (5G) new radio introduced flexible numerology to provide the necessary flexibility for accommodating heterogeneous services. However, optimizing the scheduling of heterogeneous services with differing delay and throughput requirements over 5G new radio is a challenging task. In this paper, we investigate near optimal, low complexity scheduling of radio resources for ultra-reliable low-latency communications (URLLC) when coexisting with enhanced mobile broadband (eMBB) services. We demonstrate that maximizing the sum throughput of eMBB services while servicing URLLC users, is, in the long-term, equivalent to minimizing the number of URLLC placements in the time-frequency grid; this result stems from reducing the number of infeasible placements for eMBB, to which we refer to as "conflicts". To meet this new objective, we propose and investigate new conflict-aware heuristics; a family of "greedy" and a lightweight heuristic inspired by bin packing optimization, all of near optimal performance. Moreover, having shed light on the impact of conflict in layer-2 scheduling, nonorthogonal multiple access (NOMA) emerges as a competitive approach for conflict resolution, in addition to the well established increased spectral efficiency with respect to OMA. The superior performance of NOMA, thanks to alleviating conflicts, is showcased by extensive numerical results.

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Dynamic Multiconnectivity Based Joint Scheduling of eMBB and uRLLC in 5G Networks

Cited by 36 publications

References 26 publications

Towards Enabling Critical mMTC: A Review of URLLC Within mMTC

Towards Enabling Critical mMTC: A Review of URLLC Within mMTC

A Comprehensive Survey on Mobility Management in 5G Heterogeneous Networks: Architectures, Challenges and Solutions

Scheduling Optimization of Heterogeneous Services by Resolving Conflicts

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