Load-Based Traffic Steering in Heterogeneous LTE Networks
The explosion of mobile broadband compels operators to migrate toward hierarchical deployments, denoted as Heterogeneous Network (HetNet) containing different cell types and carrier frequencies. However, the complexity of such infrastructure makes traffic management a challenging task, postulating evolved schemes to be developed.
This thesis aims at developing automated algorithms for achieving dynamic load balancing in HetNet LTE deployments. Such a function is referred to as load-based traffic steering and exploits mobility procedures so as to offload users to the less loaded cells. To analyze the impact of more evolved LTE releases (Release 10/12), cases with different types of Carrier Aggregation (CA) are also considered. With CA, users can maintain connectivity to multiple carriers which in turn allows the scheduler to offer fast inter-layer load balancing.
For each investigated topic, appropriate schemes are designed and their performance is evaluated by means of system level simulations. These are conducted in regular-grid network layouts including stochastic radio propagation models, explicit representation of mobility procedures, CA functionalities and abstract radio resource management models. The results illustrate that the developed solutions for Release 8/9 LTE provide efficient co-channel and inter-frequency load balancing with an attractive trade-off between gain and complexity. Furthermore, they are scalable with Release 10 and beyond enabling operators to reuse them for balancing the load together with the scheduler.
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