Conflict-Aware Multi-Numerology Radio Resource Allocation for Heterogeneous Services

Ferdosian, Nasim; Skaperas, Sotiris; Chorti, Arsenia; Mamatas, Lefteris

doi:10.1109/iccworkshops50388.2021.9473664

Cited by 2 publications

(5 citation statements)

References 15 publications

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“…The greedy approach is based on calculating the proportional fairness weight that depends on the previously achieved eMBB data rate and the priority is given to the RBs requested by the uRLLC user. In [29], the authors reformulated the problem of maximizing eMBB throughput into a conflict minimization problem between eMBB and uRLLC services. The solution leverages the free selection of multi-numerology offered in 5 G NR and the conflict minimization is considered a case of bin packing optimization.…”

Section: Related Workmentioning

confidence: 99%

Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks

Al-Ali

Yaacoub

2023

Wireless Netw

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Abstract5G technology is intended to support three promising services with heterogeneous requirements: Ultra-Reliable and Low Latency Communication (uRLLC), enhanced Mobile Broadband (eMBB), and massive Machine Type Communication (mMTC). 6G is required to support even more challenging scenarios, including the presence of a large number of uRLLC devices, under the massive uRLLC (mURLLC) use case scenario. The presence of these services on the same network creates a challenging task of resource allocation to meet their diverse requirements. Given the critical nature of uRLLC applications, uRLLC traffic will always have the highest priority which causes a negative impact on the performance of other services. In this paper, the problem of uRLLC/eMBB resource allocation is investigated. An optimal resource allocation scheme is proposed with two scenarios including a guaranteed fairness level and minimum data rate among eMBB users. In addition, a knapsack-inspired punctured resource allocation algorithm is proposed where the users’ channel qualities of both services are considered at each time slot leading to the most suitable Resource Block (RB) selection for puncturing in a way that minimizes the negative impact on eMBB performance. The proposed solution was compared with three puncturing baseline reference algorithms and the performance was evaluated in terms of eMBB Sum throughput and Fairness level. The simulation results show that the proposed algorithm outperforms the above-mentioned reference algorithms in all evaluation metrics and is proved to be comparable to the optimal solution given its low complexity.

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Section: Related Workmentioning

confidence: 99%

Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks

Al-Ali

Yaacoub

2023

Wireless Netw

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“…The additional constraint (23) ensures that at most two overlapping blocks are allowed per mini-slot. Furthermore (24) forbids the overlapping URLLC resource blocks in order to avoid induced overheads in decoding. Finally, (25) ensures that if URLLC is overlapping with an eMBB resource block, the throughput of the eMBB resource block is higher.…”

Section: Noma For Downlink Schedulingmentioning

confidence: 99%

“…The problem of identifying the resource allocation that maximizes the eMBB sum-rate is studied under the constraint of serving all URLLC throughput demands under different latency constraints ranging from 0.5 to 2 milliseconds (msec). In our previous work [24] we introduced a bin packing approach that minimizes the placements of the resource blocks for the URLLC services in order to minimize the infeasible placements for the eMBB services. In this work, additionally, we extend the above framework by proposing a second approach based on low complexity algorithms, that manage the infeasible placements.…”

Section: Introductionmentioning

confidence: 99%

“…The novel concept of ''conflict'' captures the penalties occurring due to the fact that orthogonal multiple access (OMA) does not allow overlapping of resources; as a result, OMA scheduling incurs a large number of infeasible resource allocation combinations. To the best of our knowledge, our earlier conference paper [24] is the first in the literature introducing conflict-aware solutions for the problem at hand. 2) Next, we propose three conflict-aware, multi numerology radio resource allocation heuristics to maximize scheduling efficiency for URLLC, when coexisting with eMBB services.…”

Section: Introductionmentioning

confidence: 99%

“…Within each category, we solve a knapsack maximization of the sum eMBB throughput. Our proposal builds on previous results in [24], [25] and is inspired by the refined-firstfit family of heuristics to solve bin packing problems. Simulation results show that the novel heuristic algorithm, of complexity N log(N ), provides a lightweight and near optimal solution to the resource allocation scheduling of URLLC, when coexisting with eMBB.…”

Section: Introductionmentioning

confidence: 99%

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Scheduling of Heterogeneous Services by Resolving Conflicts

et al. 2022

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Fifth generation (5G) new radio introduced flexible numerology to accommodate 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 over a fixed length time-frequency grid, is, in the long-term, equivalent to minimizing the number of URLLC placements in the time-frequency grid; this is the consequence of reducing the number of infeasible placements for eMBB, to which we refer to as ''conflicts.'' To meet this new objective, we evaluate the performance of new, conflict-aware heuristics, consisting of 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, we investigate non-orthogonal multiple access (NOMA) as a potential approach for conflict resolution leveraging superposition coding. The superior performance of NOMA with respect to OMA, thanks to resolving conflicts, is showcased by extensive numerical results.

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Conflict-Aware Multi-Numerology Radio Resource Allocation for Heterogeneous Services

Cited by 2 publications

References 15 publications

Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks

Resource allocation scheme for eMBB and uRLLC coexistence in 6G networks

Scheduling of Heterogeneous Services by Resolving Conflicts

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