Power minimizing beamforming and power allocation for MISO-NOMA systems
This correspondence paper considers a multiple-input single-output non-orthogonal multiple
access (MISO-NOMA) system that spatially multiplexes NOMA signals formed by …
access (MISO-NOMA) system that spatially multiplexes NOMA signals formed by …
Dynamic joint functional split and resource allocation optimization in elastic optical fronthaul
Dynamic reconfigurability in optical and mobile networks can facilitate heterogeneous
service provisioning while utilizing minimal resources. This allows cost-efficient service …
service provisioning while utilizing minimal resources. This allows cost-efficient service …
Analytical approach to base station sleep mode power consumption and sleep depth
In this paper, we present an analytical framework to model the sleep mode power
consumption of a base station (BS) as a function of its sleep depth. The sleep depth is made …
consumption of a base station (BS) as a function of its sleep depth. The sleep depth is made …
[HTML][HTML] Switching target communication strategy for optimizing multiple pursuer drones performance in immobilizing Kamikaze multiple evader drones
We propose a method for optimizing multiple-drone pursuers' performance in handling
attacks from Kamikaze multiple-drone evaders on a battlefield. The central aspect of this …
attacks from Kamikaze multiple-drone evaders on a battlefield. The central aspect of this …
Neural Myerson Auction for Truthful and Distributed Mobile Charging in UAV-Assisted Digital-Twin Networks
Realizing digital-twin services is one of promising applications in 6 G mobile communication
and network scenarios. In addition, the use of unmanned aerial vehicles (UAVs) is essential …
and network scenarios. In addition, the use of unmanned aerial vehicles (UAVs) is essential …
A cost and power feasibility analysis of quantum annealing for NextG cellular wireless networks
In order to meet mobile cellular users' ever-increasing data demands, today's 4G and 5G
wireless networks are designed mainly with the goal of maximizing spectral efficiency. While …
wireless networks are designed mainly with the goal of maximizing spectral efficiency. While …
Dynamic control of functional splits for energy harvesting virtual small cells: A distributed reinforcement learning approach
To meet the growing mobile data traffic demand, Mobile Network Operators (MNOs) are
deploying dense infrastructures of small cells as a solution for capacity enhancement. This …
deploying dense infrastructures of small cells as a solution for capacity enhancement. This …
Dynamic functional split selection in energy harvesting virtual small cells using temporal difference learning
Flexible functional split in Cloud Radio Access Network (CRAN) is a promising approach to
overcome the capacity and latency challenges in the fronthaul. In such architecture, the …
overcome the capacity and latency challenges in the fronthaul. In such architecture, the …
[HTML][HTML] Optimized sleep strategy based on clustering in dense heterogeneous networks
J Li, H Wang, X Wang, Z Li - EURASIP Journal on Wireless …, 2018 - Springer
As a large number of small base stations have been deployed in dense heterogeneous
networks, the increasing cost of energy has become a challenging issue. In this paper, we …
networks, the increasing cost of energy has become a challenging issue. In this paper, we …
A clean slate radio network designed for maximum energy performance
P Frenger, M Olsson, E Eriksson - 2014 IEEE 25th Annual …, 2014 - ieeexplore.ieee.org
This paper presents a clean slate radio network solution, that has been designed with the
aim to maximize energy performance. In traditional radio network designs, the energy cost …
aim to maximize energy performance. In traditional radio network designs, the energy cost …