Chance-constrained optimization under limited distributional information: A review of reformulations based on sampling and distributional robustness
S Küçükyavuz, R Jiang - EURO Journal on Computational Optimization, 2022 - Elsevier
Chance-constrained programming (CCP) is one of the most difficult classes of optimization
problems that has attracted the attention of researchers since the 1950s. In this survey, we …
problems that has attracted the attention of researchers since the 1950s. In this survey, we …
Resource allocation for NOMA-enabled cognitive satellite–UAV–terrestrial networks with imperfect CSI
Recently, non-orthogonal multiple access (NOMA)-enabled cognitive satellite-unmanned
aerial vehicle (UAV)-terrestrial networks have attracted extensive attention for the …
aerial vehicle (UAV)-terrestrial networks have attracted extensive attention for the …
Robust resource allocation and power splitting in SWIPT enabled heterogeneous networks: A robust minimax approach
Heterogeneous network (HetNet) with energy harvesting is a promising technique to provide
perpetual power supplies and ubiquitous coverage as well as high data rate for next …
perpetual power supplies and ubiquitous coverage as well as high data rate for next …
[PDF][PDF] Chance-constrained optimization: A review of mixed-integer conic formulations and applications
S Küçükyavuz, R Jiang - arXiv preprint arXiv:2101.08746, 2021 - researchgate.net
Chance-constrained programming (CCP) is one of the most difficult classes of optimization
problems that has attracted the attention of researchers since the 1950s. In this survey, we …
problems that has attracted the attention of researchers since the 1950s. In this survey, we …
On the secure spectral-energy efficiency tradeoff in random cognitive radio networks
X Xu, W Yang, Y Cai, S Jin - IEEE Journal on selected areas in …, 2016 - ieeexplore.ieee.org
Spectrum efficiency (SE) and energy efficiency (EE) in secure communications have
attracted much attention recently due to the fact that future wireless networks need to …
attracted much attention recently due to the fact that future wireless networks need to …
Robust resource allocation for two-tier HetNets: An interference-efficiency perspective
The heterogeneous network (HetNet) is a promising network for beyond 5G to improve
network capacity and spectral efficiency by developing low-power small cells within macro …
network capacity and spectral efficiency by developing low-power small cells within macro …
Robust energy-efficient maximization for cognitive NOMA networks under channel uncertainties
Resource allocation (RA) is a key technique to guarantee the quality of service of users and
maximize the system capacity in cognitive nonorthogonal multiple access (NOMA) networks …
maximize the system capacity in cognitive nonorthogonal multiple access (NOMA) networks …
Robust max–min fairness resource allocation in sensing-based wideband cognitive radio with SWIPT: Imperfect channel sensing
Fairness among different users and energy utilization are key issues in the future
communication network design. Robust max-min fairness resource allocation in sensing …
communication network design. Robust max-min fairness resource allocation in sensing …
Learning-based robust resource allocation for D2D underlaying cellular network
In this paper, we study the resource allocation in D2D underlaying cellular network with
uncertain channel state information (CSI). For satisfying the minimum rate requirement for …
uncertain channel state information (CSI). For satisfying the minimum rate requirement for …
A Hierarchical Network Management Strategy for Distributed CIIoT With Imperfect CSI
F Yang, S Zhang, C Liu, J Huang, T Yu… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In the distributed Cognitive Industrial Internet of Things (CIIoT), since industrial devices may
self-organize to determine their connection and dispersion and the network may be …
self-organize to determine their connection and dispersion and the network may be …