Performance of LTE Self-Optimizing Networks Uplink Load Balancing
Timo Nihtilä, Jussi Turkka, Ingo Viering
Abstract
Timo Nihtilä, Jussi Turkka, Ingo Viering
Abstract
This paper presents a performance evaluation of an uplink load balancing algorithm for 3GPP Long-Term Evolution (LTE) Self-Optimizing/Organizing Networks (SON). The algorithm handles local overload situations in uplink by two different strategies: firstly passing load from overloaded cells to under loaded cells and secondly by controlling UL interference through UL power control (PC) parameter adjustment. The algorithm is distributed so it works independently in each eNodeB (eNB). Every eNB includes a specific SON module which takes various measurements from its own and the neighboring eNBs as an input and gives handover orders and parameter change commands to its designated eNB as an output. In the paper we present a description of the algorithm and evaluate its performance in a locally overloaded LTE network. The performance evaluation is done by the means of fully dynamic LTE system simulation tool comprising a detailed modeling of user equipment (UE) measurements, user mobility and handovers, traffic and radio resource management algorithms.
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This paper presents a performance evaluation of an uplink load balancing algorithm for 3GPP Long-Term Evolution (LTE) Self-Optimizing/Organizing Networks (SON). The algorithm handles local overload situations in uplink by two different strategies: firstly passing load from overloaded cells to under loaded cells and secondly by controlling UL interference through UL power control (PC) parameter adjustment. The algorithm is distributed so it works independently in each eNodeB (eNB). Every eNB includes a specific SON module which takes various measurements from its own and the neighboring eNBs as an input and gives handover orders and parameter change commands to its designated eNB as an output. In the paper we present a description of the algorithm and evaluate its performance in a locally overloaded LTE network. The performance evaluation is done by the means of fully dynamic LTE system simulation tool comprising a detailed modeling of user equipment (UE) measurements, user mobility and handovers, traffic and radio resource management algorithms.
Key concepts: EnodeB, Telecommunications link, Handover, Computer science, User equipment, LTE Advanced, Load balancing (electrical power), Computer network