FrA3 – New Deployments and Trials

Friday, 21 June 2019, 8:30-10:30, Room 3


Session Chair: David Martín-Sacristán (Universitat Politècnica de València, Spain)


Comparison of Optimization Methods for Aerial Base Station Placement with Users Mobility

Danaisy Prado, Saul Inca, David Martín-Sacristán and Jose F Monserrat (Universitat Politècnica de València, iTEAM Research Institute)
Aerial base stations have been recently considered in the deployment of wireless networks. Finding the optimal position for one or multiple aerial base stations is a complex problem tackled by several works. However, just a few works consider the mobility of the users which makes necessary an online optimization to follow the changes in the scenario where the optimization is performed. This paper deals with the online optimization of an aerial base station placement considering different types of users mobility and three algorithms: a Q-learning technique, a Gradient-based solution and a Greedy-search solution. Our objective is to minimize in an urban environment the path loss of the user at street level with the highest path loss. Simulation results show that the performance of the three methods is similar when a high number of users move randomly and uniformly around the scenario under test. Nevertheless, in some situations when the number of users is reduced or when the users move together in a similar direction, both Gradient and Greedy algorithms present a significantly better performance than the Q-learning method.


5G-RANGE Project Field Trial

Alexandre Ferreira and Wheberth Damascena Dias (Inatel, Brazil); Alexandre M Pessoa (Federal University of Ceará – UFC, Brazil); Luciano Leonel Mendes (Inatel, Brazil); Carlos Filipe Moreira e Silva and Bruno Sokal (Federal University of Ceará, Brazil); Tiago Reis Rufino Marins (Telecommunications National Institute & Inatel Competence Center, Brazil); Danilo Gaspar (UNIFEI, Brazil)
Providing broadband Internet access in remote areas have been a challenge to any terrestrial wireless network. The high cost of spectrum license and the limited coverage of current technologies have imposed a prohibitive operational cost for remote areas wireless networks. 5G-RANGE project proposes an innovative physical layer (PHY) and medium access control layer (MAC) layers to opportunistically exploit TV white spaces (TVWS) while providing high throughput in a large coverage area. This paper presents the first field test results based on this new technology. The field trial was performed with the 5G-RANGE project transceiver, implemented for real-time operation over a software-defined radio (SDR) platform. The 2×2 multiple-input multiple-output (MIMO) Generalized Frequency Division Multiplexing (GFDM) system operates in 700 MHz using two adjacent Ultra High Frequency (UHF) TV channels. The landscape in the region of the field trial is predominantly composed of hills. The main goal of the field test was to determine the throughput and coverage that the 5G-RANGE transceiver can achieve under real conditions. The results show that a high data rate can be achieved with low bit error rate (BER) at distances up to 50 km distant from the base station (BS).


Open-source RANs in Practice: An Over-The-Air Deployment for 5G MEC

Juuso Haavisto, Muhammad Arif and Lauri Lovén (University of Oulu, Finland); Teemu Leppänen (University of Oulu & Center for Ubiquitous Computing, Finland); Jukka Riekki (University of Oulu, Finland)
Edge computing that leverages cloud resources to the proximity of user devices is seen as the future infrastructure for distributed applications. However, developing and deploying edge applications, that rely on cellular networks, is burdensome. Such network infrastructures are often based on proprietary components, each with unique programming abstractions and interfaces. To facilitate straightforward deployment of edge applications, we introduce open-source software (OSS) based radio access network (RAN) on over-the-air (OTA) commercial spectrum with Development Operations (DevOps) capabilities. OSS allows software modifications and integrations of the system components, e.g., Evolved Packet Core (EPC) and edge hosts running applications, required for new data pipelines and optimizations not addressed in standardization. Such an OSS infrastructure enables further research and prototyping of novel end-user applications in an environment familiar to software engineers without telecommunications background. We evaluated the presented infrastructure with end-to-end (E2E) OTA testing, resulting in 7.5MB/s throughput and latency of 21ms, which shows that the presented infrastructure provides low latency for edge applications.


Drive Tests-based Evaluation of Macroscopic Pathloss Models for Mobile Networks

Alberto Alvarez Polegre (University Carlos III de Madrid, Spain); Raquel Perez Leal (Universidad Carlos III de Madrid, Spain); Jose Antonio Garcia Garcia (Nokia Spain, Spain); Ana Garcia Armada (Universidad Carlos III de Madrid, Spain)
Mobile operators have already started their 5G network deployment and next generation user terminals commercial release is planned for the upcoming months. Knowing the future network system performance and capabilities seem to be key in order to have proper planning strategies. In this paper we present some field test trials for the latest release of 4G, which have lots of similarities with the forthcoming mobile broadband standard. Results for urban drive tests are presented too. We also bring some pathloss simulation based on modern channel models that matches the results obtained in the real scenarios. Error is measured to have some insights about the utility and accuracy of the pathloss models when comparison with specific scenarios is made. Some final brainstorming for future work with 5G network and concluding remarks are proposed.


Testbed to Experiment with LTE WiFi Aggregation

Pedro Merino (University of Malaga, Spain); Ivan Gonzalez Muriel (University of Malaga & MORSE Research Group, Spain); Alvaro Martin (University of Màlaga, Spain)
Due to the exponential growth in data usage that mobile networks have been experiencing in the past years, improvements in the performance and capacity of these networks have become key for the next mobile generation. Traffic aggregation at different layers in the radio interface increases the bandwidth and reliability for specific users. A promising aggregation approach for future networks is LWIP, which consists of LTE-WLAN aggregation at the IP level, just above the PDCP layer. It allows integrating WiFi with the LTE access network for the user plane data, making use of the legacy WLAN infrastructure. This paper presents a testbed where researchers can test different aggregation policies with real LTE and WiFi traffic making use of our own LWIP implementation.


Spectrum Coordination for Disaggregated Ultra Dense Heterogeneous 5G Networks

Nikos Makris (University of Thessaly & CERTH, Greece); Panagiotis Karamichailidis, Christos Zarafetas and Thanasis Korakis (University of Thessaly, Greece)
Cloud-RAN paves the way for flexible network management and control in the upcoming 5G and beyond networks. The base station disaggregation in different functional elements facilitates the incorporation of heterogeneous technologies in the user access network (e.g. 5G-NR, LTE, WiFi). Network densification and integration of heterogeneous technologies enables larger network capacity through the aggregation of multiple links, thus assisting the transition from the existing network infrastructure to innovative 5G networks. Nevertheless, as Ultra-Dense Heterogeneous Networks may operate in the same wireless spectrum, their performance potential may be hindered through the operation in overlapping frequencies. Thus, efficient coordination is required between the involved heterogeneous technologies. In this work, we consider a disaggregated base station setup, based on the current standards for 5G-NR, with capabilities to incorporate heterogeneous technologies for serving the UEs. We develop signalling between the heterogeneous Distributed Units and the Central Unit, and apply a spectrum coordination algorithm for optimal use of the wireless spectrum. We use OpenAirInterface as our development platform, and evaluate our results in a real testbed setup.