Coordinating Handover Parameter Optimization and Load Balancing in LTE Self-Optimizing Networks

Abstract

Abstract-In this paper we present simulation results of a self-optimizing network in a long-term-evolution (LTE) mobile communication system that uses two optimizing algorithms at the same time: load balancing (LB) and handover parameter optimization (HPO). Based on previous work [1] [2][5], we extend the optimization by a combined use case. We present the interactions of the two SON algorithms and show an example of a coordination system. The coordination system for self optimization observes system performance and controls the SON algorithms. As both SON algorithms deal with the handover decision itself, not only interactions, but also conflicts in the observation and control of the system are to be expected and are observed. The example of a coordination system here is not the optimal solution covering all aspects, but rather a working solution that shows equal performance to the individual algorithms or in the best case combining the strengths of the algorithms and achieving even better performance; although as localized gain, in time and area.

Control-Data Separation Architecture for Cellular Radio Access Networks: A Survey and Outlook

“…Thus cell (re)selection is mainly UE driven with a limited control by the network i.e., the network may use offset parameters to privilege some cells [72]. Since the cell (re)selection does not require resource assignment, the UE driven approach can be justified in this case.…”

Ecologically Inspired Resource Distribution Techniques for Sustainable Communication Networks

“…In the case of LTE, distributed LB approaches are better suited. For example, in the case of Lv et al (2010), Zhang et al (2011a,b), Kwan et al (2010), Lobinger et al (2011), andZhang et al (2011a,b), the algorithms run locally at eNodeBs and load information is exchanged via X2 interfaces. On the other hand, centralized LB approaches such as Suga et al (2012) also exist, where the algorithm runs in a core network element.…”

Using fuzzy logic to reduce ping-pong handover effects in LTE networks

“…Some studies have tried to solve the ping-pong effect (Lin et al 2013;Behjati and Cosmas 2013;Rasmussen and Oppermann 2003;Lobinger et al 2011). Since the coordinated multipoint (CoMP) transmission and reception is the key technique enhancing cell-edge throughput in mobile communication, Lin et al (2013) proposed a handover algorithm to support joint processing in the CoMP and overcome the system capacity limitation and ping-pong effects.…”

“…Rasmussen and Oppermann (2003) presented an analytical description of weighted linear parallel interference cancellation, which based on an eigenvalue decomposition of the correlation matrix, was used to investigate convergence characteristics with special attention toward oscillating behavior leading to ping-pong effects. Lobinger et al (2011) stated the interactions of two self-optimizing network algorithms and showed an example of a coordination system which could be used to observe the system performance and control the algorithms. The above methods have indeed reduced pingpong effects.…”