[HTML][HTML] A Survey of Energy Optimization Approaches for Computational Task Offloading and Resource Allocation in MEC Networks
With the increased penetration of cloud computing and virtualization, a plethora of internet of
things devices have been deployed globally. As a result, computationally intensive tasks are …
things devices have been deployed globally. As a result, computationally intensive tasks are …
Energy-efficient Federated edge learning in multi-tier NOMA-enabled HetNet
MA Hossain, N Ansari - IEEE Transactions on Cloud …, 2023 - ieeexplore.ieee.org
We propose a novel multi-tier (top, intermediate, and bottom tiers) architecture at the edge of
a heterogeneous network (HetNet) where non-orthogonal multiple access (NOMA) provides …
a heterogeneous network (HetNet) where non-orthogonal multiple access (NOMA) provides …
Toward Network Slicing Enabled Edge Computing: A Cloud-Native Approach for Slice Mobility
Network slicing is a key enabler for 5G and beyond networks that permits operators to
provide scalable, flexible, and dedicated networks over a common physical infrastructure. To …
provide scalable, flexible, and dedicated networks over a common physical infrastructure. To …
AI-assisted E2E Network Slicing for Integrated Sensing and Communication in 6G Networks
MA Hossain, A Xiang, A Kiani… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
In the realm of modern wireless networks, the integration of wireless sensing and
communication systems is pivotal, especially in the context of the forthcoming 6G Internet of …
communication systems is pivotal, especially in the context of the forthcoming 6G Internet of …
Computation-Efficient Offloading and Power Control for MEC in IoT Networks by Meta Reinforcement Learning
Due to the proliferation of devices and the availability of computing servers, mobile edge
computing (MEC) has gained popularity in executing various computational tasks. MEC …
computing (MEC) has gained popularity in executing various computational tasks. MEC …
Artificial Intelligence-Defined Wireless Networking for Computational Offloading and Resource Allocation in Edge Computing Networks
The advent of the Internet of Everything and new Ultra-Reliable Low-Latency
Communication (URLLC) services has resulted in an exponential growth in data demands at …
Communication (URLLC) services has resulted in an exponential growth in data demands at …
Reinforcement Learning-Based Network Slicing Scheme for Optimized UE-QoS in Future Networks
An end-to-end (E2E) network slicing (NS) scheme for heterogeneous network (HetNet) is
proposed in which the number of slices and instances of various network functions (NFs) are …
proposed in which the number of slices and instances of various network functions (NFs) are …
Hybrid Multiple-Access: Mode Selection, User Pairing and Resource Allocation
This paper proposes hybridization of non-orthogonal multiple-access (NOMA) and
orthogonal multiple access (OMA) schemes for next-generation cellular networks …
orthogonal multiple access (OMA) schemes for next-generation cellular networks …
Progressive supervised pedestrian detection algorithm for green edge-cloud computing
L She, W Wang, J Wang, Z Lin, Y Zeng - Computer Communications, 2024 - Elsevier
In this paper, we present a novel supervised pedestrian detection algorithm tailored for
Green Edge-Cloud Computing (GECC), aimed at addressing the challenges associated with …
Green Edge-Cloud Computing (GECC), aimed at addressing the challenges associated with …
Throughput maximization in multi-slice cooperative NOMA-based system with underlay D2D communications
The fifth generation (5G) and beyond-5G networks aim to meet the rapidly growing traffic
demands while considering the scarcity of radio resources and the heterogeneity of services …
demands while considering the scarcity of radio resources and the heterogeneity of services …