Zobrazeno 1 - 10
of 196
pro vyhledávání: '"A. Amhoud"'
The cell-free massive multiple-input multiple-output (CF-mMIMO) systems are crucial for 6G development due to their high spectral efficiency and uniform user-experienced data rates. A key aspect of CF-mMIMO is user association (UA) and optimal cluste
Externí odkaz:
http://arxiv.org/abs/2408.14861
Unmanned Aerial Vehicles (UAVs) have become increasingly popular in various applications, especially with the emergence of 6G systems and networks. However, their widespread adoption has also led to concerns regarding security vulnerabilities, making
Externí odkaz:
http://arxiv.org/abs/2406.10417
Autor:
Dossa, Amavi, Amhoud, El Mehdi
In the current context of massive IoT, the Pure-Aloha scheme used in LoRaWAN is reaching its limit, and Slotted-Aloha is being considered as an alternative, as it offers twice Pure-Aloha's packet success rate. It however requires synchronization acro
Externí odkaz:
http://arxiv.org/abs/2405.14740
The rapid growth of the Internet of Things fosters collaboration among connected devices for tasks like indoor localization. However, existing indoor localization solutions struggle with dynamic and harsh conditions, requiring extensive data collecti
Externí odkaz:
http://arxiv.org/abs/2405.11079
Internet of Things (IoT) is an ever-evolving technological paradigm that is reshaping industries and societies globally. Real-time data collection, analysis, and decision-making facilitated by localization solutions form the foundation for location-b
Externí odkaz:
http://arxiv.org/abs/2405.09960
Autor:
Delamou, Mamady, Amhoud, El Mehdi
The advancement of wireless communication systems toward 5G and beyond is spurred by the demand for high data rates, exceedingly dependable low-latency communication, and extensive connectivity that aligns with sensing requisites such as advanced hig
Externí odkaz:
http://arxiv.org/abs/2404.05895
Target detection and recognition is a very challenging task in a wireless environment where a multitude of objects are located, whether to effectively determine their positions or to identify them and predict their moves. In this work, we propose a n
Externí odkaz:
http://arxiv.org/abs/2305.05621
The proliferation of connected devices in indoor environments opens the floor to a myriad of indoor applications with positioning services as key enablers. However, as privacy issues and resource constraints arise, it becomes more challenging to desi
Externí odkaz:
http://arxiv.org/abs/2303.00450
A resource-constrained unmanned aerial vehicle (UAV) can be used as a flying LoRa gateway (GW) to move inside the target area for efficient data collection and LoRa resource management. In this work, we propose deep reinforcement learning (DRL) to op
Externí odkaz:
http://arxiv.org/abs/2302.05214
We propose in this work a radar detection system for orthogonal-frequency division multiplexing (OFDM) transmission. We assume that the transmitting antenna Tx is colocated with a monostatic radar. The latter knows the transmitted signal and listens
Externí odkaz:
http://arxiv.org/abs/2209.03883