Resource allocation for ultra-dense networks: A survey, some research issues and challenges

Y Teng, M Liu, FR Yu, VCM Leung… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
Driven by the explosive data traffic and new quality of service requirement of mobile users,
the communication industry has been experiencing a new evolution by means of network …

Resource allocation trends for ultra dense networks in 5G and beyond networks: A classification and comprehensive survey

N Sharma, K Kumar - Physical Communication, 2021 - Elsevier
With an exaggerating upsurge in mobile data traffic, the wireless networks are confronted
with a subtle task of enhancing their network capacity. The shortage of spectrum resources …

Deep reinforcement learning based dynamic resource allocation in 5G ultra-dense networks

Z Liu, X Chen, Y Chen, Z Li - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
The rapid development of Internet of things (IoT) technology has promoted the densification
of network infrastructure. Ultra-dense networks (UDN) will become a key technology in 5G …

Energy-and spectral-efficient resource allocation algorithm for heterogeneous networks

CC Coskun, E Ayanoglu - IEEE Transactions on Vehicular …, 2017 - ieeexplore.ieee.org
In this paper, the tradeoff between energy efficiency and spectral efficiency in multicell
heterogeneous networks is investigated. Our objective is to maximize both energy efficiency …

Spectral‐efficient resource allocation for mixed services in OFDMA‐based 5G heterogeneous networks

NT Le, D Jayalath, J Coetzee - Transactions on Emerging …, 2018 - Wiley Online Library
One of the principal thrusts of proposed fifth‐generation networks is the provisioning of
mixed services or heterogeneous quality of service, which includes delay‐sensitive and …

Energy-and spectral-efficient optimization in cloud ran based on dueling double deep Q-network

A Iqbal, ML Tham, YC Chang - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Cloud radio access network (CRAN) has gained considerable attention for the upcoming
cellular network that can offload the mobile data traffic and reduce energy consumption by …

Performance assessment of biogeography-based multi-objective algorithm for frequency assignment problem

A Daoudi, K Benatchba, M Bessedik… - … Journal of Bio …, 2021 - inderscienceonline.com
Solving frequency assignment problem (FAP) with multiple objectives is NP-hard. The
network has many constraints to be respected when assigning frequencies. In this paper, we …

Energy and spectral efficiency balancing algorithm for energy saving in LTE downlinks

M Maharazu, ZM Hanapi, MA Alrashah - Symmetry, 2021 - mdpi.com
In wireless network communication environments, Spectral Efficiency (SE) and Energy
Efficiency (EE) are among the major indicators used for evaluating network performance …

Distributed Q-learning based-decentralized resource allocation for future wireless networks

S Messaoud, A Bradai, M Atri - 2020 17th International Multi …, 2020 - ieeexplore.ieee.org
The next generation (5G) wireless network is expected to support the fourth industrial
revolution, combining heightened data transfer speeds and processing power. Despite …

Performance tradeoff of MVNOs in OFDMA-based Virtualized wireless networks

MR Mili, S Li, F Mokhtari, M Derakhshani… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
In this paper, we analyze the tradeoff between the profits gained by mobile virtual network
operators (MVNOs) in an orthogonal frequency division multiple access (OFDMA)-based …