Self-coexistence in the dense case for white spaces

Abstract

Abstract-In this paper we look at the downlink interference mitigation problem in 802.22 wireless regional area networks. We study the case where the density of TV bands is such that a group of white space base stations can obtain access to only one communications channel, a scenario likely to occur close to urban centers. We propose a self-organizing power control and design strategy to mitigate interference among base stations as well as an optimal approach for the problem.

Self-organized Clustering for Improved Interference Mitigation in White Spaces

“…Since the slope, σ , of the linear function defining γ ′ i is always greater than zero, BSs in larger clusters are given higher goals. This in turn mitigates the coverage problem that results from excessive power reductions in geographically close BSs present in previous studies [5].…”

“…However, this mechanism may not find a feasible solution when there is excessive noise in the system [9]. In the past we have compared the results from this approach with one that employs a self-organizing procedure where power control is used to limit coverage and thus mitigate interference [5], [6].…”

“…At that point, rather than just stopping the control loops we execute a third step guaranteeing coverage at border areas [5]. For this additional step, we take into consideration that any BS possesses the location information of all the BSs in the system making it possible to distributively compute the centroid of the system and thus identify the BS closest to the centroid.…”

“…In a previous research effort, we referred to this scenario as a dense case. In such scenario, the TVBDs are expected to operate in an area with a high density of already occupied TV channels [5]. In this article, we place emphasis on three significant aspects of white space networks.…”

“…Finally, we provide an analysis that illustrates stability and convergence of our proposal. These additions to presented analysis contrast with our previous work in the area where we dynamically tuned metrics to control interference without taking into consideration any clustering, coverage of remote users or stability conditions [5], [6]. In the remainder of this article, we will first discuss the motivations behind our work and then review related research in the area.…”