On the interference arising from random spatial fields of interferers utilizing multiple subcarriers

Abstract

Effective symbol detection, channel estimation and decoding of channel codes require an accurate characterization of the noise probability distribution. In many systems, notably the internet of things, noise is largely in the form of interference, arising from a massive number of simultaneous transmissions from uncoordinated devices. Obtaining the probability distribution of the interference is a challenging problem due to the use of non-orthogonal multiple access schemes over several subcarriers (leading to multivariate statistical models) and the heavy-tailed nature of the interference due to the random locations of devices. In this paper, we derive a novel tractable characterization of the interference probability distribution based on an application of Sklar’s theorem to develop a combination of $$\alpha$$ α -stable and t-copula dependence models. We demonstrate that this formulation produces an accurate statistical modeling framework that admits efficient parameter estimation methods. As an illustration of the utility of our models, we develop a simple-to-implement nonlinear receiver when a binary signal is transmitted over all subcarriers by the desired transmitter, which is effective in a range of scenarios and can significantly outperform existing approaches.

Junction Selection Based on Optimal-Weighted Multiple Attributes for VANETs

“…It considers the distance, traffic density, and angle between the candidate junction to the destination junction in the path selection process [16]. Note that the distance is the geographical distance from the candidate junction to the destination junction [17], the traffic density is defined as the number of vehicles on the road segment, and the angle is defined as the angle between the current junction and the candidate junction towards the destination junction [16]. The main goal of the proposed protocol is to guarantee that the routing path has more connectivity within city environments, which ensures an increase in the packet delivery ratio and a significant decrease in the end-to-end delay.…”