A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges
In the fifth-generation (5G) mobile communication system, various service requirements of
different communication environments are expected to be satisfied. As a new evolution …
different communication environments are expected to be satisfied. As a new evolution …
QoE-driven computation offloading for edge computing
We investigate a quality of experience (QoE) based computation offloading scheduling
problem for Edge Computing, in which data processing and decision making are placed at …
problem for Edge Computing, in which data processing and decision making are placed at …
Spectral efficiency analysis for massive MIMO system under QoS constraint: an effective capacity perspective
L Chen, L Zhang - Mobile Networks and Applications, 2021 - Springer
In massive multiple-input multiple-output (MIMO) systems, dozens of mobile users can
simultaneously receive signals from one base station. To obtain maximum spectral efficiency …
simultaneously receive signals from one base station. To obtain maximum spectral efficiency …
AlexNet classifier and support vector regressor for scheduling and power control in multimedia heterogeneous networks
H Zarini, A Khalili, H Tabassum… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In this paper, the downlink transmission of a two-tier heterogeneous network (HetNet) is
considered in which a macro base station (MBS) serves the macro users using orthogonal …
considered in which a macro base station (MBS) serves the macro users using orthogonal …
QoE-aware resource allocation for non-orthogonal multiple access enhanced HetNets
L Chen, B Hu, S Chen, J Xu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Non-orthogonal multiple access (NOMA) has drawn significant attention due to its high
spectral efficiency. Invoking NOMA in heterogeneous networks (HetNets) can support …
spectral efficiency. Invoking NOMA in heterogeneous networks (HetNets) can support …
Joint transmission in QoE-driven backhaul-aware MC-NOMA cognitive radio network
H Zarini, A Khalili, H Tabassum… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
In this paper, we develop a resource allocation framework to optimize the downlink
transmission of a backhaul-aware multi-cell cognitive radio network (CRN) which is enabled …
transmission of a backhaul-aware multi-cell cognitive radio network (CRN) which is enabled …
User quality of experience estimation using social network analysis
NS Halvaiee, MK Akbari - Multimedia Systems, 2022 - Springer
With the ever-evolving number of new types of services alongside new paradigms like IoT
(Internet of Things) and Pervasive Computing, finding the most appropriate service …
(Internet of Things) and Pervasive Computing, finding the most appropriate service …
Interference Exploitation in IRS-Aided Heterogeneous Networks: Joint Symbol Level Precoding and Reflecting Design
Recently, intelligent reflecting surface (IRS) emerges as an effective technique for saving
power consumption by customizing the wireless propagation environment. On the other …
power consumption by customizing the wireless propagation environment. On the other …
A manifold learning two-tier beamforming scheme optimizes resource management in massive MIMO networks
X Zhou, P Wang, Z Yang, L Tong, Y Wang… - IEEE …, 2020 - ieeexplore.ieee.org
Two-tier massive multiple-input multiple-output (MIMO) systems achieve high sum spectral
efficiency by simultaneously serving large numbers of users. However, as the number of …
efficiency by simultaneously serving large numbers of users. However, as the number of …
QoE-Aware Power Allocation for Aerial-Relay Massive MIMO Networks
This paper proposes a power allocation framework based on the per-user quality-of-
experience (QoE) conditions for an aerial relay massive MIMO (mMIMO) network, assuming …
experience (QoE) conditions for an aerial relay massive MIMO (mMIMO) network, assuming …