Joint position and travel path optimization for energy efficient wireless data gathering using unmanned aerial vehicles

MB Ghorbel, D Rodriguez-Duarte… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
Unnamed aerial vehicles (UAVs) or drones have attracted growing interest in the last few
years for multiple applications; thanks to their advantages in terms of mobility, easy …

A survey on sleep mode techniques for ultra-dense networks in 5G and beyond

F Salahdine, J Opadere, Q Liu, T Han, N Zhang… - Computer Networks, 2021 - Elsevier
The proliferation of mobile users with an attendant rise in energy consumption mainly at the
base station has requested new ways of achieving energy efficiency in cellular networks …

Throughput and energy efficiency analysis of small cell networks with multi-antenna base stations

C Li, J Zhang, KB Letaief - IEEE Transactions on Wireless …, 2014 - ieeexplore.ieee.org
Small cell networks have recently been proposed as an important evolution path for the next-
generation cellular networks. However, with more and more irregularly deployed base …

Energy efficiency of downlink networks with caching at base stations

D Liu, C Yang - IEEE Journal on Selected Areas in …, 2016 - ieeexplore.ieee.org
Caching popular contents at base stations (BSs) can reduce the backhaul cost and improve
the network throughput. Yet whether locally caching at the BSs can improve the energy …

D2D-assisted multi-user cooperative partial offloading, transmission scheduling and computation allocating for MEC

J Peng, H Qiu, J Cai, W Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
By fully exploiting the cooperative communication capacities among mobile terminals (MTs),
the MTs can adapt the offloading designs well to the practical network with dynamic features …

Joint power allocation and user association optimization for massive MIMO systems

T Van Chien, E Björnson… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper investigates the joint power allocation and user association problem in multi-cell
Massive MIMO (multiple-input multiple-output) downlink (DL) systems. The target is to …

Massive MIMO and small cells: Improving energy efficiency by optimal soft-cell coordination

E Björnson, M Kountouris, M Debbah - ICT 2013, 2013 - ieeexplore.ieee.org
To improve the cellular energy efficiency, without sacrificing quality-of-service (QoS) at the
users, the network topology must be densified to enable higher spatial reuse. We analyze a …

Designing multi-user MIMO for energy efficiency: When is massive MIMO the answer?

E Björnson, L Sanguinetti, J Hoydis… - 2014 IEEE wireless …, 2014 - ieeexplore.ieee.org
Assume that a multi-user multiple-input multiple-output (MIMO) communication system must
be designed to cover a given area with maximal energy efficiency (bits/Joule). What are the …

[图书][B] Green communications: theoretical fundamentals, algorithms and applications

J Wu, S Rangan, H Zhang - 2012 - books.google.com
Nowadays energy crisis and global warming problems are hanging over everyone's head,
urging much research work on energy saving. In the ICT industry, which is becoming a major …

Energy-aware traffic offloading for green heterogeneous networks

S Zhang, N Zhang, S Zhou, J Gong… - IEEE Journal on …, 2016 - ieeexplore.ieee.org
With small cell base stations (SBSs) densely deployed in addition to conventional macro
base stations (MBSs), the heterogeneous cellular network (HCN) architecture can effectively …