Detection techniques for massive multiple-input multiple-output (MIMO) have gained a lot of
attention in both academia and industry. Detection techniques have a significant impact on …

Abstract The Internet of Things (IoT) has embedded itself in our daily lives, offering smart
services and AI-driven applications. However, traditional AI methods face challenges due to …

Massive multiple-input multiple-output (MIMO) is playing a crucial role in the fifth generation
(5G) and beyond 5G (B5G) communication systems. Unfortunately, the complexity of …

In massive multiple-input multiple-output (MIMO) uplink, linear minimum mean square error
(MMSE) detection achieves near-optimal performance but suffers from undesirable …

For massive multiple-input multiple-output (MIMO) systems, minimum mean square error
(MMSE) detection is near-optimal, but requires high-complexity matrix inversion. To avoid …

The exponential increase of health-related digital data has given machine learning
algorithms a newfound ability to generate more meaningful insights. Information such as …

Artificial intelligence has transformed multiple input multiple output (MIMO) technology into a
promising candidate for six-generation networks. However, several interference signals …

The advent of the fifth generation (5G) of mobile networks has introduced several new use
cases that are pushing mobile networks in environments that are typically supported by …

In order to meet the user demands in performance and quality of services (QoS) for beyond
fifth generation (B5G) communication systems, research on decentralized and distributed …

Massive multiple-input multiple-output (MIMO) is one of the essential technologies in beyond
fifth generation (B5G) communication systems due to its impact in attaining high power …