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pro vyhledávání: '"Karim, G."'
Non-orthogonal multiple access (NOMA) is widely recognized for its spectral and energy efficiency, which allows more users to share the network resources more effectively. This paper provides a generalized bit error rate (BER) performance analysis of
Externí odkaz:
http://arxiv.org/abs/2405.19639
Brains have evolved a diverse set of neurons with varying morphologies, physiological properties and rich dynamics that impact their processing of temporal information. By contrast, most neural network models include a homogeneous set of units that o
Externí odkaz:
http://arxiv.org/abs/2404.14325
The idea of Integrated Sensing and Communication (ISAC) offers a promising solution to the problem of spectrum congestion in future wireless networks. This paper studies the integration of intelligent reflective surfaces (IRS) with ISAC systems to im
Externí odkaz:
http://arxiv.org/abs/2309.00978
Autor:
Jin, Jihui, Ollivier, Etienne, Touret, Richard, McKinley, Matthew, Sabra, Karim G., Romberg, Justin K.
Inverse problems describe the task of recovering an underlying signal of interest given observables. Typically, the observables are related via some non-linear forward model applied to the underlying unknown signal. Inverting the non-linear forward m
Externí odkaz:
http://arxiv.org/abs/2305.11056
We consider a multi-process remote estimation system observing $K$ independent Ornstein-Uhlenbeck processes. In this system, a shared sensor samples the $K$ processes in such a way that the long-term average sum mean square error (MSE) is minimized u
Externí odkaz:
http://arxiv.org/abs/2303.13485
We consider a multi-process remote estimation system observing $K$ independent Ornstein-Uhlenbeck processes. In this system, a shared sensor samples the $K$ processes in such a way that the long-term average sum mean square error (MSE) is minimized.
Externí odkaz:
http://arxiv.org/abs/2209.11213
Autor:
AlaaEldin, Mahmoud, Alsusa, Emad, Seddik, Karim G., Papadias, Constantinos B., Al-Jarrah, Mohammad
This work investigates the performance of intelligent reflective surfaces (IRSs) assisted uplink non-orthogonal multiple access (NOMA) in energy-constrained networks. Specifically, we formulate and solve two optimization problems; the first aims at m
Externí odkaz:
http://arxiv.org/abs/2206.01312
Autor:
Bishoy Salama Attia, Aamen Elgharably, Mariam Nabil Aboelwafa, Ghada Alsuhli, Karim Banawan, Karim G. Seddik
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 4902-4919 (2024)
We consider the problem of jointly enhancing the network throughput, minimizing energy consumption, and improving the network coverage of mobile networks. The problem is cast as a reinforcement learning (RL) problem. The reward function accounts for
Externí odkaz:
https://doaj.org/article/707e88357ee245fc9623387e59474b92
Publikováno v:
IEEE Open Journal of the Communications Society, Vol 5, Pp 5219-5231 (2024)
In this paper, we investigate frequency shift keying (FSK) over ambient orthogonal frequency division multiplexed (OFDM) signals. By cycling through a sequence of antenna loads providing different phase shifts at the tag, we are able to unidirectiona
Externí odkaz:
https://doaj.org/article/4831daaadcbb4817a1fa4667a5f40394