With the rapid increase in the number of mobile users, wireless access technologies are
evolving to provide mobile users with high data rates and support new applications that …

In this work, a multiple user deep neural network-based non-orthogonal multiple access
(NOMA) receiver is investigated considering channel estimation error. The decoding of the …

In this work, the deep learning (DL)-based fifth-generation (5G) non-orthogonal multiple
access (NOMA) detector is investigated over the independent and identically distributed (iid) …

The energy harvesting (EH) technique has ignited a rising research interest due to its ability
to enhance the battery power of user equipment by harvesting energy by using a simple …

Wireless access technologies are emerging to enable high data rates for mobile users and
novel applications that encompass both human and machine-type interactions. An essential …

In modern wireless communication scenarios, non-orthogonal multiple access (NOMA)
provides high throughput and spectral efficiency for fifth generation (5G) and beyond 5G …

In this paper, the performance of a deep learningbased multiple-input multiple-output
(MIMO) non-orthogonal multiple access (NOMA) system is investigated for 5G radio …

In order to maximize energy efficiency in heterogeneous networks (HetNets), a turbo Q-
Learning (TQL) combined with multistage decision process and tabular Q-Learning is …

In this paper, we propose a maximum likelihood estimation (MLE) of user velocity based on
Rayleigh distributed handover counts in heterogeneous networks (HetNets). The high …

This work demonstrates a novel UWB Compact printed monopole antenna. A closed-loop
radiator with a hexagonal structure is used for designing the monopole antenna. Microstrip …