Energy management for cost minimization in green heterogeneous networks

B Wang, Q Yang, X Deng - Future Generation Computer Systems, 2020 - Elsevier
With the fast development of cyber–physical systems, mobile applications and traffic
demands have been significantly increasing in this decade. Likewise, the concerns about …

Power control mean field game with dominator in ultra-dense small cell networks

C Yang, Y Zhang, J Li, Z Han - GLOBECOM 2017-2017 IEEE …, 2017 - ieeexplore.ieee.org
Ultra-dense deployment of small cells can enhance capacity, extend coverage, and improve
the spectrum and energy efficiency. However, intra-tier interference among different …

[PDF][PDF] Optimal power allocation for NOMA-based Internet of things over OFDM sub bands

PN Thakre, SB Pokle - International Journal of Next-Generation …, 2022 - researchgate.net
As a result of continued expansion of 5G technology, the density of IoT devices has
increased dramatically. Increasing the throughput of 5G systems is now extremely important …

Energy-efficient cell-association bias adjustment algorithm for ultra-dense networks

W Zhu, P Xu, TO Bui, G Wu, Y Yang - Science China Information Sciences, 2018 - Springer
In recent years, energy efficiency has become an important topic, especially in the field of
ultra-dense networks (UDNs). In this area, cell-association bias adjustment and small cell …

Optimal base station density of dense network: From the viewpoint of interference and load

J Feng, Z Feng - Sensors, 2017 - mdpi.com
Network densification is attracting increasing attention recently due to its ability to improve
network capacity by spatial reuse and relieve congestion by offloading. However, excessive …

SDN‐Based Hierarchical Agglomerative Clustering Algorithm for Interference Mitigation in Ultra‐Dense Small Cell Networks

G Yang, Y Cao, A Esmailpour, D Wang - ETRI Journal, 2018 - Wiley Online Library
Ultra‐dense small cell networks (UD‐SCN s) have been identified as a promising scheme
for next‐generation wireless networks capable of meeting the ever‐increasing demand for …

[PDF][PDF] 超密集网中一种基于人工蜂群的节能分簇算法

周朋光, 黄俊伟, 张仁迟, 徐浩 - 电信科学, 2017 - infocomm-journal.com
超密集网络中, 密集部署的低功率基站将会加大系统的能耗, 并且造成紧缺频谱资源的浪费.
探寻干扰协调和系统节能的可行性方法在超密集网络架构下提出基站的休眠—唤醒—活跃机制 …

A resource allocation and cell association algorithm for energy efficiency in HetNets

W Zhu, P Xu, H Jiang, Y He - International Journal of …, 2019 - Wiley Online Library
Aiming at further improving the energy efficiency of system while meeting the data rate
requirement of the users, in this paper, a network energy efficiency optimization problem by …

Energy efficient cooperative multicast beamforming in ultra dense networks

D Marabissi, G Bartoli, R Fantacci… - IET …, 2018 - Wiley Online Library
Energy efficiency (EE) is one of the main requirements for future fifth generation wireless
networks to allow a sustainable network development. Toward this goal, this study proposes …

A Survey of Green Communication and Resource Allocation in 5G Ultra Dense Networks

D Shukla, SD Sawarkar - … Conference on Machine Intelligence and Signal …, 2022 - Springer
With the increased demand for wireless communication, 5G network deployment is expected
to accelerate. The energy consumption and carbon footprint are expected to rise rapidly as a …