The ever-increasing number of resource-constrained machine-type communication (MTC)
devices is leading to the critical challenge of fulfilling diverse communication requirements …

This paper considers a multiple-input multiple-output system with low-resolution analog-to-
digital converters (ADCs). In this system, we propose a novel communication framework that …

Multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM)
wireless systems use link adaptation to exploit the dynamic nature of wireless environments …

The IEEE 802.11 ac supports gigabit speeds by extending 802.11 n air-interface features
and increases the number of rate options by more than two times. Enabling so many rate …

With the emergence of the fifth generation (5G) wireless networks, not only is the increase in
mobile broadband targeted, but also the support of various novel use cases, such as …

Many rate adaptation (RA) solutions have been proposed for legacy Wi-Fi standards.
However, these solutions lack extensibility, and cannot therefore be easily applied to new Wi …

This paper proposes a novel machine learning (ML) assisted low‐latency low density parity
check (LDPC) coded adaptive modulation (AM) system, where short block‐length LDPC …

The control of communication networks is an important aspect from both the service provider
and user points of view. There are several approaches to communication network control …

This paper presents a machine learning approach for link adaptation in orthogonal
frequency-division multiplexing systems through adaptive modulation and coding. Although …

Current and future wireless networks require the selection of a plurality of parameters at
different layers of the communication system to optimize network throughput while satisfying …