Energy efficient resource allocation algorithms combining PSO with FLC and Taguchi method in hybrid opportunistic networks

Chen, Young-Long; Lin, Yan-Hao; Chen, Hsin-Yu; Hung, Kai-Chun

doi:10.1016/j.asoc.2023.110717

Cited by 1 publication

(1 citation statement)

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“…Sliding window-based RA algorithm for coexistence of MTC devices with HTC UEs is proposed in [27] takes advantage of frequency and time diversities by capturing channel coefficients that vary over time and frequency. To improve uplink throughput in network resource allocation and to enhance energy efficiency, particle swarm optimization (PSO) with fuzzy logic control (FLC) and Taguchi method is proposed in [28]. The proposed method utilizes priority weighted rate control to increase uplink throughput.…”

Section: Related Workmentioning

confidence: 99%

Joint delay and energy aware dragonfly optimization‐based uplink resource allocation scheme for LTE‐A networks in a cross‐layer environment

Moses,

Sambantham,

Faheem

et al. 2024

The Journal of Engineering

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The exponential growth in data traffic from smart devices has led to a need for highly capable wireless networks with faster data transmission rates and improved spectral efficiency. Allocating resources efficiently in a 5G communication system with a huge number of machine type communication (MTC) devices is essential to ensure optimal performance and meet the diverse requirements of different applications. The LTE‐A network offers high‐speed mobile data services and caters to MTC devices and has relatively low data service requirements compared to human‐to‐human (H2H) communications. LTE‐A networks require advanced scheduling schemes to manage the limited spectrum and ensure efficient transmissions. This necessitates effective resource allocation schemes to minimize interference between cells in future networks. To address this issue, a joint delay and energy aware Levy flight Brownian movement‐based dragonfly optimization (DELFBDO)‐based uplink resource allocation scheme for LTE‐A Networks is proposed in this work to optimize energy efficiency, maximize the throughput and reduce the latency. The DELFDO algorithm efficiently organizes packets in both time and frequency domains for H2H and MTC devices, resulting in improved quality of service while minimizing energy consumption. The Simulation results demonstrate that the proposed method increases the energy efficiency by producing the appropriate channel and power assignment for UEs and MTC devices.

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Section: Related Workmentioning

confidence: 99%