Machine learning has become successful in solving wireless interference management
problems. Different kinds of deep neural networks (DNNs) have been trained to accomplish …

The co-channel interference for mobile users (MUs) of a public safety network (PSN) in the
co-existence of heterogeneous networks such as unmanned aerial vehicles (UAVs) and LTE …

Unloading from macrocell network and enhancing coverage can be realized by deploying
femtocells in the indoor scenario. However, the system performance of the two-tier network …

In my dissertation, we focus on the wireless network coexistence problem with advanced
physical-layer techniques. For the first part, we study the problem of Wireless Body Area …

This paper elaborates on the harmonious wireless network from the perspective of
interference management. The coexistence of useful signals and interfering signals is …

In this paper, we present an adaptive algorithm for interference avoidance, which can be
applied in a distributed manner by active users in a CDMA wireless system to obtain optimal …

In this research paper, approximate mean of signal-to-interference-plus-noise ratio (SINR)
under imperfect channel state information (CSI) is computed and maximized for throughput …

Multiple‐input multiple‐outputs (MIMOs) have eminent quality in maximizing the throughput
of wireless communication models. In MIMO, the antenna arrays can be utilized for fulfilling …

In this paper, we present interference models for cognitive radio (CR) networks employing
various interference management mechanisms including power control, contention control …

Interference modeling in cognitive radio network is important to ensure adequate coverage
in the network. A reliable interference model, however, depends on accurately …