Contract-Based Scheduling of URLLC Packets in Incumbent EMBB Traffic

Manzoor, Aunas; Kazmi, S. M. Ahsan; Pandey, Shashi Raj; Hong, Choong Seon

doi:10.1109/access.2020.3023128

Cited by 38 publications

(16 citation statements)

References 30 publications

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“…We assume the stronger user is a uRLLC UE which only can decode and remove CCI from the weak user is eMBB UE. While the eMBB UE with weaker channel conditions cannot wholly eliminate the interference of uRLLC UEs’ signals, which results in maximized throughput for the eMBB UE with contrast [ 40 ] and prove it with the results in Section 5 Because our approach is based on uRLLC UE is superimposed with eMBB UE through a few mini slots and assigned high power for eMBB UE to reduce the latency by providing a high rate to the paired uRLLC UEs at a mini slot and achieving high reliability. Thus, the effect of CCI on eMBB UE is less than if the conventional pairing is along a TTI.…”

Section: System Modelmentioning

confidence: 99%

“…In this case, constraint (29) should take into consideration the superimposed time of pairing in our calculations, which is a random integer mini-slot time. Therefore, a one-to-one matching game [ 40 , 55 , 55 ] is used to acquire the UE-slice pairing solution, which is explained in Section 4.2 .…”

Section: Problem Formulationmentioning

confidence: 99%

“…Recently, a matching game has been proposed for wireless UE affiliation and resource allocation [ 39 ]. In [ 40 ], the authors intend to improve the eMBB network rate and decrease eMBB loss by convincing uRLLC UEs to cohabit with eMBB UEs by superposition readiness by matching game. In [ 41 ], matching game techniques for UE association in HetNets are presented, taking both downlink and uplink properties into account.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Joint User-Slice Pairing and Association Framework Based on H-NOMA in RAN Slicing

Riad

Elghandour

El-Haleem

2022

Sensors

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Multiservice cellular in Radio Access Network (RAN) Slicing has recently attained huge interest in enhancing isolation and flexibility. However, RAN slicing in heterogeneous networks (HetNet) architecture is not adequately explored. This study proposes a pairing-network slicing (NS) approach for Multiservice RAN that cares about quality of service (QoS), baseband resources, capacities of wireless fronthaul and backhaul links, and isolation. This intriguing approach helps address the increased need for mobile network traffic produced by a range of devices with various QoS requirements, including improved dependability, ultra-reliability low-latency communications (uRLLC), and enhanced broadband Mobile Services (eMBB). Our study displays a unique RAN slicing framework for user equipment (UE) for joint user-association. Multicell non-orthogonal multiple access (NOMA)-based resource allocation across 5G HetNet under successive interference cancelation (SIC) is seen to achieve the best performance. Joint user-slice pairing and association are optimization problems to maximize eMBB UE data rates while fulfilling uRLLC latency and reliability criteria. This is accomplished by guaranteeing the inter- and intra-isolation property of slicing to eliminate interferences between eMBB and uRLLC slices. We presented the UE-slice association (U-S. A) algorithm as a one-to-many matching game to create a stable connection between UE and one of the base stations (BSs). Next, we use the UE-slice pairing (U-S. P) algorithm to find stable uRLLC-eMBB pairs that coexist on the same spectrum. Numerical findings and performance analyses of the submitted association and pairing technique show they can all be RAN slicing criteria. We prove that the proposed algorithm optimizes system throughput while decreasing uRLLC latency by associating and pairing every uRLLC user in mini slots.

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Section: System Modelmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Joint User-Slice Pairing and Association Framework Based on H-NOMA in RAN Slicing

Riad

Elghandour

El-Haleem

2022

Sensors

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“…Due to the hard latency requirements of URLLC users, arriving URLLC traffic must be transmitted immediately and cannot be delayed to a later time slot. Therefore, eMBB transmissions are supposed to schedule in the slot, and URLLC transmissions are supposed to schedule in the mini‐slot to achieve latency requirements 5‐12 . Alsenwi et al 5 maximized the average data rate of eMBB users while URLLC constraints were satisfied, and the variance of eMBB data rates was minimized to protect low‐rate eMBB users.…”

Section: Introductionmentioning

confidence: 99%

Digital twin‐enabled deep reinforcement learning for joint scheduling of ultra‐reliable low latency communication and enhanced mobile broad band: A reliability‐guaranteed approach

Zhang

Liu

et al. 2022

Trans Emerging Tel Tech

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In the coexistence of ultra‐reliable low latency communication (URLLC) and enhanced mobile broad band (eMBB) in 5G networks, the arriving URLLC traffic with strict latency requirements will be scheduled by puncturing ongoing eMBB transmissions, negatively impacting eMBB data rate. In this article, we add reliability measurement for eMBB users with high data rate requirements. The scheduling problem is formulated as an optimization problem with the goal of maximizing the data rate of eMBB users while meeting the requirements of URLLC latency and eMBB data rate. To jointly optimize resource allocation policy and puncturing policy, an algorithm based on deep reinforcement learning (DRL) is introduced. Considering that the utilization of DRL in the resource scheduling problem is limited due to the nonstationary communication environment, a digital twin‐enabled DRL architecture is presented to fine‐tune the DRL model according to feedback from the real‐world network. The DRL agent can explore in the digital twin model, avoiding the loss of quality of service caused by exploration in the real‐world environment. According to simulation results, the approach proposed in this article can improve the reliability of eMBB users with data rate requirements.

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“…In [10], a null space-based spatial perforation scheduler for joint URLLC / eMBB traffic has been proposed. The authors in [11] formulated a URLLC traffic allocation problem by adopting an overlay or perforation scheme. In practice, when the URLLC service is started in the middle of the eMBB transport block, part of the eMBB symbols are replaced and/or overlapped with the symbols in the URLLC packet.…”

Section: Introductionmentioning

confidence: 99%

On multiplexing data streams using trellis-coded modulation in centralized wireless networks

Yankovskii

Pastushok

2021

ICS

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Problem statement: The proliferation of services and applications requiring ultra-low latency and high reliability of data transmission in communication networks leads to creating new approaches and architectures in order to ensure the simultaneous transmission of Enhanced Mobile Broadband (eMBB) and Ultra-Reliable and Low Latency Communication (URLLC) traffic. Providing efficient eMBB and URLLC multiplexing schemes with preset key performance indicators for each stream is the most challenging problem in wireless network development. Purpose: To provide a simultaneous transmission of eMBB and URLLC streams without reducing the user experience of eMBB services by developing a multiplexing scheme and the coherent architecture of physical (PHY) and media access control (MAC) layers in the downlink channel. Results: An eMBB and URLLC multiplexing scheme has been proposed, along with a coherent architecture for PHY and MAC layers, ensuring the given wireless network key performance indicators. The proposed solution performance has been estimated by simulation. The multiplexing scheme outperforms the baseline solution in Bit Error Rate and Frame Error Rate metrics. The coherent PHY and MAC layers architecture provides transmission with an arrival rate of 400 messages per millisecond and 99% message delivery probability in one millisecond. Practical relevance: The obtained results allow communication system developers to deploy centralized wireless networks at industrial objects.

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Contract-Based Scheduling of URLLC Packets in Incumbent EMBB Traffic

Cited by 38 publications

References 30 publications

Joint User-Slice Pairing and Association Framework Based on H-NOMA in RAN Slicing

Joint User-Slice Pairing and Association Framework Based on H-NOMA in RAN Slicing

Digital twin‐enabled deep reinforcement learning for joint scheduling of ultra‐reliable low latency communication and enhanced mobile broad band: A reliability‐guaranteed approach

On multiplexing data streams using trellis-coded modulation in centralized wireless networks

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