Efficient learning of decision-making models: A penalty block coordinate descent algorithm for data-driven inverse optimization
Decision-making problems are commonly formulated as optimization problems, which are
then solved to make optimal decisions. In this work, we consider the inverse problem where …
then solved to make optimal decisions. In this work, we consider the inverse problem where …
Minimizing energy consumption in H-NOMA based UAV-assisted MEC network
NR Kota, K Naidu - IEEE Communications Letters, 2023 - ieeexplore.ieee.org
This letter investigates a hybrid non-orthogonal multiple access (H-NOMA) based
Unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) network. The goal …
Unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) network. The goal …
Remote health monitoring system using heterogeneous networks
K Naidu, S Sunkaraboina - Healthcare Technology Letters, 2022 - Wiley Online Library
This paper presents the implementation of a remote health monitoring system by using
Heterogeneous Networks (HetNet), in which remote patients' vital data can be sent to the …
Heterogeneous Networks (HetNet), in which remote patients' vital data can be sent to the …
An efficient direct solution of cave-filling problems
Waterfilling problems subjected to peak power constraints are solved, which are known as
cave-filling problems (CFP). The proposed algorithm finds both the optimum number of …
cave-filling problems (CFP). The proposed algorithm finds both the optimum number of …
[PDF][PDF] Innovative Power Allocation Strategy for NOMA Systems by Employing the Modified ABC Algorithm.
Non-Orthogonal Multiple Access (NOMA) technique is a remarkable component of 5G
wireless networks; since NOMA immensely augments the spectral efficiency and serves all …
wireless networks; since NOMA immensely augments the spectral efficiency and serves all …
Novel user association scheme deployed for the downlink noma systems
Non-orthogonal multiple access (NOMA) is perceived as a crucial methodology used in 5G
cellular networks on account of its enhanced spectrum efficiency and the ability to serve …
cellular networks on account of its enhanced spectrum efficiency and the ability to serve …
Rate-maximizing zero-forcing hybrid precoder for MU-MISO-OFDM
S Cornelis, N Noels, M Moeneclaey - IEEE Access, 2023 - ieeexplore.ieee.org
Hybrid precoders, consisting of an analog hardware-constrained part operating at radio
frequency (RF) and a digital part operating at baseband, reduce the RF implementation …
frequency (RF) and a digital part operating at baseband, reduce the RF implementation …
Swift resource allocation in wireless networks
K Naidu, RB Battula - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
Multiple linear constraint water filling problem (MLWFP) is solved innovatively in this paper,
in which powers allotted to the T resources of the transmitting user maximize the capacity of …
in which powers allotted to the T resources of the transmitting user maximize the capacity of …
Optimizing energy efficiency in mobile edge computing: Leveraging latency-aware offloading, clustering, and UAV placement strategies
KN Rao, K Naidu - AEU-International Journal of Electronics and …, 2024 - Elsevier
In the context of next-generation 5G and beyond communication networks, integrating
Unmanned Aerial Vehicles (UAVs) with Mobile Edge Computing (MEC) is crucial. Hybrid …
Unmanned Aerial Vehicles (UAVs) with Mobile Edge Computing (MEC) is crucial. Hybrid …
Two-Timescale Adaptive Live Video Streaming Transmission Mechanism for Vehicular Networks
This research explores a novel adaptive live video streaming transmission strategy over
vehicular networks to solve the conundrum between resource-constrained environment and …
vehicular networks to solve the conundrum between resource-constrained environment and …