Energy-efficient access-point sleep-mode techniques for cell-free mmWave massive MIMO networks with non-uniform spatial traffic density
J García-Morales, G Femenias, F Riera-Palou - IEEE access, 2020 - ieeexplore.ieee.org
Cell-free massive multiple-input multiple-output (MIMO) is a novel beyond 5G (B5G) and 6G
paradigm that, through the use of a common central processing unit (CPU), coordinates a …
paradigm that, through the use of a common central processing unit (CPU), coordinates a …
Access point switch ON/OFF strategies for green cell-free massive MIMO networking
G Femenias, N Lassoued, F Riera-Palou - IEEE access, 2020 - ieeexplore.ieee.org
The combination of user-centric network densification and distributed massive multiple-input
multiple-output (MIMO) operation has recently brought along a new paradigm in the wireless …
multiple-output (MIMO) operation has recently brought along a new paradigm in the wireless …
Energy management of solar-powered aircraft-based high altitude platform for wireless communications
With the increasing interest in wireless communications from solar-powered aircraft-based
high altitude platforms (HAPs), it is imperative to assess the feasibility of their deployment in …
high altitude platforms (HAPs), it is imperative to assess the feasibility of their deployment in …
Energy-efficient 5G cloud RAN with virtual BBU server consolidation and base station sleeping
Heterogeneous network (HetNet) deployment where macro cells are overlaid by small cells
is considered a de-facto solution for meeting the ever increasing mobile traffic demand in …
is considered a de-facto solution for meeting the ever increasing mobile traffic demand in …
Backhaul-aware trajectory optimization of fixed-wing UAV-mounted base station for continuous available wireless service
Due to high mobility and flexibility, unmanned aerial vehicles (UAVs) have attracted
significant attention from both academia and industry in wireless communications. Different …
significant attention from both academia and industry in wireless communications. Different …
Distributed deep reinforcement learning for functional split control in energy harvesting virtualized small cells
To meet the growing quest for enhanced network capacity, mobile network operators
(MNOs) are deploying dense infrastructures of small cells. This, in turn, increases the power …
(MNOs) are deploying dense infrastructures of small cells. This, in turn, increases the power …
Joint message-passing and convex optimization framework for energy-efficient surveillance UAV scheduling
In modern surveillance systems, the use of unmanned aerial vehicles (UAVs) has been
actively discussed in order to extend target monitoring areas, even for an extreme …
actively discussed in order to extend target monitoring areas, even for an extreme …
Dynamic 5G RAN slice adjustment and migration based on traffic prediction in WDM metro-aggregation networks
5G radio access network (RAN) slicing has recently been proposed to adapt service
provision over substrate network resources to the diversified requirements of 5G services in …
provision over substrate network resources to the diversified requirements of 5G services in …
Uplink reference signals for energy-efficient handover
The ever-growing data rate demand from cellular users increases the associated power
consumption that directly contributes to the global warming of the environment. Also …
consumption that directly contributes to the global warming of the environment. Also …
[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 …