A survey of recent advances in optimization methods for wireless communications

YF Liu, TH Chang, M Hong, Z Wu… - IEEE Journal on …, 2024 - ieeexplore.ieee.org
Mathematical optimization is now widely regarded as an indispensable modeling and
solution tool for the design of wireless communications systems. While optimization has …

An overview on resource allocation techniques for multi-user MIMO systems

E Castaneda, A Silva, A Gameiro… - … Surveys & Tutorials, 2016 - ieeexplore.ieee.org
Remarkable research activities and major advances have been occurred over the past
decade in multiuser multiple-input multiple-output (MU-MIMO) systems. Several …

Foundations of user-centric cell-free massive MIMO

ÖT Demir, E Björnson… - Foundations and Trends …, 2021 - nowpublishers.com
Imagine a coverage area where each mobile device is communicating with a preferred set of
wireless access points (among many) that are selected based on its needs and cooperate to …

Massive MIMO networks: Spectral, energy, and hardware efficiency

E Björnson, J Hoydis… - Foundations and Trends® …, 2017 - nowpublishers.com
Massive multiple-input multiple-output (MIMO) is one of the most promising technologies for
the next generation of wireless communication networks because it has the potential to …

Optimal resource allocation in coordinated multi-cell systems

E Björnson, E Jorswieck - Foundations and Trends® in …, 2013 - nowpublishers.com
The use of multiple antennas at base stations is a key component in the design of cellular
communication systems that can meet high-capacity demands in the downlink. Under ideal …

Power control in cellular massive MIMO with varying user activity: A deep learning solution

T Van Chien, TN Canh, E Björnson… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper considers the sum spectral efficiency (SE) optimization problem in multi-cell
Massive MIMO systems with a varying number of active users. This is formulated as a joint …

Energy-efficient scheduling and power allocation in downlink OFDMA networks with base station coordination

L Venturino, A Zappone, C Risi… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
This paper addresses the problem of energy-efficient resource allocation in the downlink of
a cellular orthogonal frequency division multiple access system. Three definitions of energy …

Large-scale-fading decoding in cellular massive MIMO systems with spatially correlated channels

T Van Chien, C Mollén… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Massive multiple-input-multiple-output (MIMO) systems can suffer from coherent intercell
interference due to the phenomenon of pilot contamination. This paper investigates a two …

Doubly optimal no-regret online learning in strongly monotone games with bandit feedback

W Ba, T Lin, J Zhang, Z Zhou - Operations Research, 2025 - pubsonline.informs.org
We consider online no-regret learning in unknown games with bandit feedback, where each
player can only observe its reward at each time—determined by all players' current joint …

Load balancing for 5G ultra-dense networks using device-to-device communications

H Zhang, L Song, YJ Zhang - IEEE Transactions on Wireless …, 2018 - ieeexplore.ieee.org
Load balancing is an effective approach to address the spatial-temporal fluctuation problem
of mobile data traffic for cellular networks. The existing schemes that focus on channel …