Self Organizing Networks for 3GPP LTE

Abstract

-Network elements and their parameters in mobile wireless networks, are largely manually configured. This has been somewhat sufficient; but with the growing data traffic compensated by new and emerging technologies with corresponding larger networks, there is an obvious need to redefine the network operations to achieve optimum performance. A manual configuration approach requires specialized expertise for device deployments, configurations, re-setting network parameters and general management of the network. This process is costintensive, time-consuming and prone to errors. Adoption of this approach in the evolved wireless technologies results in poor network performance. Therefore, the introduction of advanced mobile wireless networks has highlighted the need and essence for automation within the network. Self Organizing Networks (SON) developed by 3GPP, using automation, ensures operational efficiency and next generation simplified network management for a mobile wireless network. The introduction of SON in LTE therefore brings about optimum network performance and higher end user Quality of Experience. This paper highlights the SON techniques relevant within an LTE network, a brief description of SON architecture alternatives and then some information on the evolution of SON activities as LTE evolves towards LTE-A.

Mitigating Traffic Remapping Attacks in Autonomous Multihop Wireless Networks

“…6 provides an illustration. Here, R * F = {(1, 3), (1,4), (1,5), (1,6), (1, 7), (1, 8), (2,4), (2,5), (2,6), (2,7), (2,8), (3,6), (5,4), (5, 7)}. We remark that the DISTRESS mechanism is lightweight in terms of the required synchronization and communication overhead (roughly O(|R|) per node in the worst case).…”

“…W IRELESS networks with autonomous nodes, which we refer to as multi-hop autonomous wireless networks (MAWiNs), are an active research field. MAWINs embody the self-organizing network concept [1] in autonomous mobile mesh networks [2], [3], autonomous vehicular networks [4], autonomous sensor networks [5], and flying ad hoc networks [6]. In large-scale IoT systems, multi-hop cooperative relaying has been observed to improve the throughput, reliability, and energy efficiency of the data exchange between end-user devices (e.g., smart meters) and gateway nodes (e.g., data aggregation points) [7]- [11].…”

From 3GPP LTE to 5G: An Evolution

“…seamless operation and consistent performance. Due to the increasingly expanding and evolving wireless network, there is a crucial need to automate this management process [19,20]. In order to achieve this, LTE adopts SON techniques which enables the network to configure itself and manage the radio resources to achieve optimum performance at all times with minimal human supervision.…”

Detecting Workload-based and Instantiation-based Economic Denial of Sustainability on 5G environments

“…The research introduced in this paper is thereby focused on SONnetworks as promising solutions for fulfilling the aforementioned challenges. Originally, SON networks were proposed as a response to address the problem of LTE mobile network efficiency [4], being consequently standardized by the Third Generation Partnership Project (3GPP) on which their capability to reduce operational costs by automation is remarked [1]. In this way, SON poses a transition from traditional management paradigms where human intervention is mandatory (open-loop) towards a fully automated model (closedloop).…”