Energy efficiency optimization in MIMO heterogeneous wireless powered communication networks

Ha, Tien Ngoc; Kha, Ha Hoang; Ta, Hung Quang

doi:10.1007/s11235-020-00682-w

Cited by 3 publications

(1 citation statement)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The system with a full-duplex HAP is superior to that with a half-duplex HAP if the self-interference can be eliminated effectively. 18 Moreover, how to improve the energy transfer efficiency 19,20 of WPCNs is still a challenging issue. The multi-antenna/MIMO with beamforming technology 5,21,22 in which RF beams are concentrated on given directions of requested users, has attracted much attention recently and can be one feasible solution for improving the energy transfer efficiency.…”

Section: Introductionmentioning

confidence: 99%

Stability and performance analysis of wireless powered communication networks

Fang

Ferng

2021

Proceedings of the Institution of Mechanical Engineers, Part O:

View full text Add to dashboard Cite

In RF-based wireless powered communication networks (WPCNs), the wireless charging rate at a device is usually low or unstable because of health concerns or time-varying characteristics of wireless channels. Under a low charging rate, the data backlog at a wireless device may be continuously increasing, leading to system performance degradation and data loss. To keep a wireless powered device stable and preserve a finite data backlog, the upper limit of data arrival/acquisition rate at a wireless powered device must be solved under the given data transmission rate and wireless charging rate. Hence, in this paper a novel two-dimensional continuous-time Markov chain model was proposed for analyzing the stability condition of a wireless powered device with a finite energy storage buffer. The average number of data packets, average packet delay, and energy shortage probability at a wireless powered device were analyzed as well. Additionally, simulations were conducted to validate the analytic results and demonstrate that the obtained stability condition is necessary and sufficient for the wireless device.

show abstract

Section: Introductionmentioning

confidence: 99%

Stability and performance analysis of wireless powered communication networks

Fang

Ferng

2021

Proceedings of the Institution of Mechanical Engineers, Part O:

View full text Add to dashboard Cite

show abstract

Scaled and nonlinear multi-objective model for Downlink and Uplink exposure in massive MIMO

Kavitha¹,

Kumar²,

Srihari³

et al. 2023

Physical Communication

View full text Add to dashboard Cite

Modified hybrid fruit fly-based salp swarm optimization strategy for energy efficient optimization in MIMO Wireless Powered Communication Networks

Kumar,

Rao

2024

JHS

View full text Add to dashboard Cite

A potential way to handle the future requirements of wireless data traffic is the Massive Multiple Input Multiple Output (MIMO) antenna systems. The most effective method to satisfy the demand for wireless data traffic is to enhance the Spectral Efficiency of the existing spectrum since the wireless spectrum is a limited resource. In the MIMO network, cell-free, energy-efficient, and user-centric are considered as most important parameters to achieve effective communication. Therefore, a new energy efficiency optimization scheme is developed in a massive MIMO system to improve the system’s capacity and spectral efficiency. The multi-channel optimization problem is effectively rectified with the help of this newly designed energy efficiency optimization scheme. Here, the “Singular Value Decomposition (SVD)” method is utilized for the implementation of a sub-channel grouping scheme, where the sub-channels are arranged in descending order based on the results attained from SVD. After arranging the sub-channels, the sub-channel grouping is carried out, and then the energy efficiency optimization is provided with the help of Integrated Fruit Fly with Salp Swarm Optimization (IFFSSO). This energy-efficient algorithm improves the system capacity and spectral efficiency. The experimental outcome is revealed through various conventional models to ensure the energy efficiency of the recommended model.

show abstract

Energy efficiency optimization in MIMO heterogeneous wireless powered communication networks

Cited by 3 publications

References 23 publications

Stability and performance analysis of wireless powered communication networks

Stability and performance analysis of wireless powered communication networks

Scaled and nonlinear multi-objective model for Downlink and Uplink exposure in massive MIMO

Modified hybrid fruit fly-based salp swarm optimization strategy for energy efficient optimization in MIMO Wireless Powered Communication Networks

Contact Info

Product

Resources

About