Jul 2026· Wireless personal communications· Vol 146, pp. 4823 - 4853· 0 citations· 44 references
TL;DR
Simulation results demonstrate that the proposed integrated green energy strategy, leveraging GA and k-means clustering, achieves considerable energy savings compared to baseline approaches and clustering-based problem simplification is shown to deliver performance comparable to the full-scale solution that explores the entire search space.
Findings validate the efficacy of incorporating swarm intelligence into the 5G architectures as a viable and self-optimizing solution for the promotion of connectivity and signal power performance in the next-generation high-density wireless networks.
H. Lasisi, H. B. Omodeni, B. Aderinkola et al.· 0 citations
—To reduce power consumption and extend network lifespan, academic and industrial groups have focused on energy-efficiency approaches for Next Generation Networks (NGNs). Fifth-generation (5G) networks offer a large number of services at high data rates, low latency, and massive connectivity. Increasing volumes of hete...
P. Raddy, Sudhanva A M, Arathi R. Shankar· Journal of Communications So...· 0 citations
With the advancement of net-zero targets and the large-scale deployment of distributed photovoltaic (PV) systems, battery energy storage systems (BESS), and electric vehicles (EVs) in residential sectors, home energy management systems (HEMS) have become central to improving end-use energy efficiency. However, reliance...
Yitong Wu, Shitikantha Dash, D. Srinivasan· Sustainability· 0 citations
Network Sharing strategies aiming at sharing the bandwidth capacity among BSs owned by different MOs are proved effective to deactivate unneeded network resources for long periods of time under proper configuration settings, hence saving energy and reducing operational cost for MOs.
Daniela Renga, Maoquan Ni, M. Marsan et al.· 0 citations
