A systematic review on NOMA variants for 5G and beyond
Over the last few years, interference has been a major hurdle for successfully implementing
various end-user applications in the fifth-generation (5G) of wireless networks. During this …
various end-user applications in the fifth-generation (5G) of wireless networks. During this …
Energy consumption minimization scheme for NOMA-based mobile edge computation networks underlaying UAV
An unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) networks fulfil
the on-demand computation services for the mobile terminals (MTs) with its high mobility …
the on-demand computation services for the mobile terminals (MTs) with its high mobility …
Holochain: An agent-centric distributed hash table security in smart iot applications
The accomplishment of blockchain has increased the focus on the various applications for
simplifying the confidentiality and transaction sanctuary using the decentralized architecture …
simplifying the confidentiality and transaction sanctuary using the decentralized architecture …
[PDF][PDF] Energy-efficient non-orthogonal multiple access for wireless communication system
Non-orthogonal multiple access (NOMA) has been recognized as a potential solution for
enhancing the throughput of next-generation wireless communications. NOMA is a potential …
enhancing the throughput of next-generation wireless communications. NOMA is a potential …
[HTML][HTML] Federated reinforcement learning based task offloading approach for MEC-assisted WBAN-enabled IoMT
The exponential proliferation of wearable medical apparatus and healthcare information
within the framework of the Internet of Medical Things (IoMT) introduces supplementary …
within the framework of the Internet of Medical Things (IoMT) introduces supplementary …
Deep reinforcement learning based trajectory optimization for magnetometer-mounted UAV to landmine detection
Unmanned aerial vehicles (UAVs) have emerged as a viable choice for data collection and
landmine (LM) detection. The LM buried under the dirt or sand is detected using a UAV …
landmine (LM) detection. The LM buried under the dirt or sand is detected using a UAV …
Power allocation scheme based on DRL for CF massive MIMO network with UAV
Interference is a very critical issue, especially in future communication networks because of
their complexity and ultra-dense nature. Also, the interference limits the performance of the …
their complexity and ultra-dense nature. Also, the interference limits the performance of the …
Security reassessing in UAV-assisted cyber-physical systems based on federated learning
Mobile-edge computing (MEC) is a popular method for increasing the quality of computing
experience for consumers since it allows them to offload computing operations to MEC …
experience for consumers since it allows them to offload computing operations to MEC …
Energy-efficient optimization scheme for RIS-assisted communication underlaying UAV with NOMA
Unmanned aerial vehicles (UAVs) and reconfigurable intelligent surface (RIS) are the
emerging technologies for 5G and beyond networks. These two techniques reduce inter …
emerging technologies for 5G and beyond networks. These two techniques reduce inter …
A Hybrid Task Offloading and Resource Allocation Approach For Digital Twin-Empowered UAV-Assisted MEC Network Using Federated Reinforcement Learning For …
Federated learning (FL) is proposed as a different approach for distributed learning on the
edges while maintaining privacy. Existing FL methods, are mainly focused on learning deep …
edges while maintaining privacy. Existing FL methods, are mainly focused on learning deep …