JA Nanzer, SR Mghabghab, SM Ellison… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
There has been significant research devoted to the development of distributed microwave wireless systems in recent years. The progression from large, single-platform wireless …
In this letter, we present a deep learning algorithm for channel estimation in communication systems. We consider the time-frequency response of a fast fading communication channel …
Ensuring a seamless connection during the mobility of various User Equipments (UEs) will be one of the major challenges facing the practical implementation of the Fifth Generation …
Tag signal detection is one of the key tasks in ambient backscatter communication (AmBC) systems. However, obtaining perfect channel state information (CSI) is challenging and …
YS Cho, J Kim, WY Yang, CG Kang - 2010 - books.google.com
MIMO-OFDM is a key technology for next-generation cellular communications (3GPP-LTE, Mobile WiMAX, IMT-Advanced) as well as wireless LAN (IEEE 802.11 a, IEEE 802.11 n) …
T Hwang, C Yang, G Wu, S Li… - IEEE transactions on …, 2008 - ieeexplore.ieee.org
Orthogonal frequency-division multiplexing (OFDM) effectively mitigates intersymbol interference (ISI) caused by the delay spread of wireless channels. Therefore, it has been …
To make transportation safer, more efficient, and less harmful to the environment, traffic telematics services are currently being intensely investigated and developed. Such services …
Deep learning (DL) has proven its unprecedented success in diverse fields such as computer vision, natural language processing, and speech recognition by its strong …
M Ozdemir, H Arslan - IEEE Communications Surveys and …, 2007 - avesis.medipol.edu.tr
Orthogonal frequency division multiplexing (OFDM) is a special case of multi-carrier transmission and it can accommodate high data rate requirement of multimedia based …