Edgar Ramos

On automatic establishment of relations in 5G radio networks

One of the first key self-organizing features introduced in LTE was Automatic Neighbor Relations (ANR), a function for automatically generating relations between radio network entities that is needed for many features such as active-mode mobility, load balancing and dual connectivity. Given the benefits of ANR in LTE, we foresee that procedures for relations establishment will be an important integrated part of 5G systems as well. Moreover, the new emerging technology components of 5G such as massive beamforming expand the scope of relations beyond the neighbor relations of LTE. In this paper, we give an overview of key 5G radio access components, discuss the need for different types of identifiers and relations, and comment on the impact from the ultra-lean design principle of 5G. The paper also discusses some possible procedures for automatic relation establishment in consideration of the specific 5G aspects.

Calculating LWM2M resource semantic distance through SENACT ontology

The concept of Internet of Things (IoT) envisions that any type of device should be able to be connected in any type of environment. Due to the heterogeneity of the scenarios where IoT is applied, the capability discovery and dynamic relationship establishment between devices become relevant. One way to define relation between devices is through similarities in functionality. Thus, we define that two devices are close semantically, or have a short semantic distance between them, when the devices have similar functionalities. We have proposed in a previous work a metric called LwRSD (LWM2M Resource Semantic Distance) to calculate similarities between devices utilizing a subjective approach for weighting properties. In this paper, we describe an ontology called SENACT that allows developing a method to calculate the Semantic Distance between devices using weights determined in an objective way. SENACT builds axioms from sensing and actuation concepts. The results shows that is it possible to group devices with similar functionalities in an objective way using SENACT and uncover properties shared between devices that are not immediately apparent.

Evaluation of Mobility Performance and Deployment Scenarios in UMTS Heterogeneous Networks

While a heterogeneous network increases the system performance in terms of coverage and capacity, if it is deployed without being well planned and without making use of optimized configurations, it could potentially lead to tough requirements on the mobility performance. The system level simulations shows that in typical scenarios the small separated cell deployment (each low power node is deployed as a separate cell) meets mobility requirements from the regular network operations perspective. However, in challenging mobility scenarios, small separated cell deployment might suffer from the degradation in mobility performance due to the non-optimal handover settings. The proposed combined cell deployment (low power nodes and macro cell use the same cell identity) provides an effective alternative to improve mobility in terms of reduced handover numbers and improved transmission robustness for handover signaling, therefore simplifying the network planning and management.