CoMP Enhanced Subcarrier and Power Allocation for Multi-Numerology Based 5G-NR Networks

Shen, Li-Hsiang; Su, Chia-Yu; Feng, Kai-Ten

doi:10.1109/tvt.2022.3154896

Cited by 9 publications

(2 citation statements)

References 37 publications

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“…Furthermore, they employ a one-to-one matching procedure to solve the slicing puncture problem. The work in [31] designs a coordinated multipoint multi-numerology network to improve the throughput of eMBB and latency of URLLC users. The authors solve a subcarrier and power allocation problem with the objective of maximizing the system sum rate.…”

Section: A Related Workmentioning

confidence: 99%

Beyond 5G Resource Slicing With Mixed-Numerologies for Mission Critical URLLC and eMBB Coexistence

Esmaeily

Mendis

Mahmoodi

et al. 2023

IEEE Open J. Commun. Soc.

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Network slicing has been a significant technological advance in the 5G mobile network allowing delivery of diverse and demanding requirements. The slicing grants the ability to create customized virtual networks from the underlying physical network, while each virtual network can serve a different purpose. One of the main challenges yet is the allocation of resources to different slices, both to best serve different services and to use the resources in the most optimal way. In this paper, we study the radio resource slicing problem for Ultra-Reliable Low Latency Communications (URLLC) and enhanced Mobile Broadband (eMBB) as two prominent use cases. The URLLC and eMBB traffic is multiplexed over multiple numerologies in 5G New Radio, depending on their distinct service requirements. Therein, we present our optimization algorithm, Mixed-numerology Mini-slot based Resource Allocation (MiMRA), to minimize the impact on eMBB data rate due to puncturing by different URLLC traffic classes. Our strategy controls such impact by introducing a puncturing rate threshold. Further, we propose a scheduling mechanism that maximizes the sum rate of all eMBB users while maintaining the minimum data rate requirement of each eMBB user. The results obtained by simulation confirm the applicability of our proposed resource allocation algorithm.

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Section: A Related Workmentioning

confidence: 99%

Beyond 5G Resource Slicing With Mixed-Numerologies for Mission Critical URLLC and eMBB Coexistence

Esmaeily

Mendis

Mahmoodi

et al. 2023

IEEE Open J. Commun. Soc.

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show abstract

“…respectively. Inspired by [45], in order to approximate the continuous relaxed variables to zero and one, we design two penalty functions as auxiliary constraints which are given by…”

Section: A Problem Transformationmentioning

confidence: 99%

Energy Efficient Resource Allocation for Multinumerology Enabled Hybrid Services in B5G Wireless Mobile Networks

Shen

Feng

2023

IEEE Trans. Wireless Commun.

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Multi-numerology (MN) providing a flexible transmission frame structure has attracted a considerable attention for supporting abundant services for beyond fifth-generation (B5G) networks. However, mobility induces severe performance degradation under different numerologies including temporal and spectral fluctuation, which is not well-investigated in existing literature. We have conceived an MN-enabled energy efficiency (EE) problem aiming for alleviating mobility-and MN-induced interferences through moderate power and sub-carrier assignment, while considering quality-of-service (QoS) and latency requirements for different services. We propose a multi-numerology based power and resource block allocation (MNPRA) scheme considering time-/frequency-division (TD/MD) based MN leveraging temporal and spectral features among numerologies. The original non-solvable problem is theoretically transformed into a convex one by employing Dinkelbach process, Taylor approximation and difference of two concave functions (D.C.). Convergence of proposed MNPRA scheme is analyzed and verified by simulations. In simulation results, we have evaluated MNPRA under different service demands, user velocities and MN types. Our proposed scheme outperforms the conventional single-numerology framing and existing methods in open literature, which results in performances of higher EE as well as of lower throughput/delay outage probability.

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Priority-based subcarrier allocation algorithm for maximal network connectivity in 5G networks

Saha,

Chauhan,

Pradhan

et al. 2024

Physical Communication

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CoMP Enhanced Subcarrier and Power Allocation for Multi-Numerology Based 5G-NR Networks

Cited by 9 publications

References 37 publications

Beyond 5G Resource Slicing With Mixed-Numerologies for Mission Critical URLLC and eMBB Coexistence

Beyond 5G Resource Slicing With Mixed-Numerologies for Mission Critical URLLC and eMBB Coexistence

Energy Efficient Resource Allocation for Multinumerology Enabled Hybrid Services in B5G Wireless Mobile Networks

Priority-based subcarrier allocation algorithm for maximal network connectivity in 5G networks

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