A State Based Resource Allocation Game for Distributed Optimization in 5G Small-Cell Networks

Mawatwal, Khushboo; Roy, Rajarshi

doi:10.1109/tvt.2021.3116089

Cited by 5 publications

(2 citation statements)

References 22 publications

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“…properly [14] . The design of the network routing optimization algorithm for the LEO constellation can be completed by the above steps, and the calculation of the network routing is done by evaluating the link state [15] .…”

Section: Cos ( ( ) ( ) ( )) Tl M Ts T Ls T Tc Tmentioning

confidence: 99%

Link state-based routing optimization method for low orbit constellation networks

Su¹,

Shi²,

Zhou³

et al. 2023

International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023)

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The current conventional routing optimization methods for low-orbit constellation networks have a large impact on satellite energy consumption, for which a link-state-based routing optimization method for low-orbit constellation networks is proposed. By constructing a state-space excitation function based on node energy and delay requirements, and constraining the function. The analysis of the experimental results shows that the routing strategy can effectively reduce the satellite energy consumption under the proposed optimization method.

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Section: Cos ( ( ) ( ) ( )) Tl M Ts T Ls T Tc Tmentioning

confidence: 99%

Link state-based routing optimization method for low orbit constellation networks

Su¹,

Shi²,

Zhou³

et al. 2023

International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2023)

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“…T HE IMMENSE mobile traffic has increased and led to the 5G standard to aim for about 100 times the aggregate data rate of 4G [1]. This explosive growth imposes stringent data rate requirements on 5G mobile communication systems.…”

Section: Introductionmentioning

confidence: 99%

QoE-Maximized Beam Assignment and Rate Control for Dynamic mm-Wave-Based Full-Duplex Small Cell Networks

Fang

Feng

2023

IEEE Open J. Commun. Soc.

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This study investigates the resource management problem for millimeter-wave-based switched beam (SWB) full-duplex small cell networks with the consideration of user equipment's (UE's) quality of experience (QoE) requirement and time-varying wireless channels. An optimization problem is formulated to maximize the long-term QoE by implementing beam assignment (BA) and rate control (RC) under short-term beam and long-term energy efficiency constraints. By leveraging the Lyapunov optimization technique, the original problem is converted into a series of BA and RC problems in each time slot. To solve the converted problem with affordable complexity, novel closed-form solutions for BA and RC are first derived by considering beam constraints in SWB systems. A decomposition-based BA and RC (DBR) algorithm with only polynomial computational complexity is then proposed based on the derived closed-form solutions. The simulation results demonstrate that the proposed DBR method can effectively['effectively' appears to be a more suitable word in this case.] balance the performance and complexity because the DBR scheme outperforms the benchmark scheme and achieves nearly optimal performance in terms of system delay and QoE.INDEX TERMS QoE maximization, beam assignment, rate control, time-varying channels, full-duplex, millimeter-wave, switched beam systems.

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Computationally Efficient UE Blocking Probability Model for GBR Services in Beyond 5G RAN

Adamuz-Hinojosa,

Ameigeiras,

Muñoz

et al. 2024

IEEE Access

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A State Based Resource Allocation Game for Distributed Optimization in 5G Small-Cell Networks

Cited by 5 publications

References 22 publications

Link state-based routing optimization method for low orbit constellation networks

Link state-based routing optimization method for low orbit constellation networks

QoE-Maximized Beam Assignment and Rate Control for Dynamic mm-Wave-Based Full-Duplex Small Cell Networks

Computationally Efficient UE Blocking Probability Model for GBR Services in Beyond 5G RAN

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