10 papers · 1 filter
Reinforcement Learning for Mitigating Intermittent Interference in Terahertz Communication Networks
Reza Barazideh, Omid Semiari, Solmaz Niknam +1
Emerging wireless services with extremely high data rate requirements, such as real-time extended reality applications, mandate novel solutions to further increase the capacity of…
Impulsive Noise Mitigation in Underwater Acoustic Communication Systems: Experimental Studies
Reza Barazideh, Wensheng Sun, Balasubramaniam Natarajan +2
Impulsive noise is a major impediment to orthogonal frequency-division multiplexing (OFDM) based underwater acoustic (UWA) communications. In this work, we evaluate the performance…
Impulsive Noise Detection in OFDM-based Systems: A Deep Learning Perspective
Reza Barazideh, Solmaz Niknam, Balasubramaniam Natarajan
Efficient removal of impulsive noise (IN) from received signal is essential in many communication applications. In this paper, we propose a two stage IN mitigation approach for ort…
Performance Analysis of Analog Intermittently Nonlinear Filter in the Presence of Impulsive Noise
Reza Barazideh, Balasubramaniam Natarajan, Alexei V. Nikitin +1
An Adaptive Nonlinear Differential Limiter (ANDL) is proposed in this paper to efficiently alleviate the impact of impulsive noise (IN) in a communication system. Unlike existing n…
Cross-layer Interference Modeling for 5G MmWave Networks in the Presence of Blockage
Solmaz Niknam, Reza Barazideh, Balasubramaniam Natarajan
Fifth generation (5G) wireless technology is expected to utilize highly directive antennas at millimeter wave (mmWave) spectrum to offer higher data rates. However, given the high…
On the Regimes in Millimeter wave Networks: Noise-limited or Interference-limited?
Solmaz Niknam, Balasubramaniam Natarajan
Given the overcrowding in the 300 MHz-3 GHz spectrum, millimeter wave (mmWave) spectrum is a promising candidate for the future generations of wireless networks. With the unique pr…