Data-Driven Optimization of Drone-Assisted Cellular Networks

Drone base stations can help safeguard coverage and provide capacity relief when cellular networks are under stress. Examples of such stress scenarios are events with massive crowds or network outages. In this paper we focus on a disaster scenario with emergence of a traffic hotspot, where agile drone positioning and load management is a...

A self-organizing base station sleeping and user association strategy for dense cellular networks

Due to the rising concerns of energy consumption in wireless networks, base station (BS) sleeping strategies were introduced to save energy in low traffic scenarios. In this paper we analyse a weighted trade-off between energy consumption and user-perceived performance in dense cellular networks. We present an optimization problem representing...

A self-organizing base station sleeping and user association strategy for dense cellular networks

Due to the rising concerns of energy consumption in wireless networks, base station (BS) sleeping strategies were introduced to save energy in low traffic scenarios. In this paper we analyse a weighted trade-off between energy consumption and user-perceived performance in dense cellular networks. We present an optimization problem representing...

Dynamic Frequency Reuse in Dense Cellular Networks

Network densification has emerged as a powerful paradigm to boost spectral efficiency and accommodate the continual rise in demand for wireless capacity. In dense cell deployments however, overlapping coverage areas may cause highly varying interference conditions among different cells. Moreover, denser networks experience more temporal load...

Assessment of the Suitability of NB-IoT Technology for ORM in Smart Grids

In this paper, we assess the suitability of NB-IoT (Narrowband Internet of Things) cellular technology for smart grid applications, concentrating on the reliable and timely delivery of Outage Restoration & Management (ORM) messages at the event of a local or regional power outage. Using system-level simulations modelling of both the cellular NB...

The impact of QoS differentiation on service quality and system capacity in cellular networks

Mobile network operators are currently preparing the introduction of QoS differentiation mechanisms in their 3G networks, as a means to support service-specific quality requirements, to enable the offering of distinct subscription forms and/or to enhance the resource efficiency and hence network capacity. In this paper we quantify the attainable...

M2M massive wireless access: Challenges, research issues, and ways forward

In order to make the Internet of Things a reality, ubiquitous coverage and low-complexity connectivity are required. Cellular networks are hence the most straightforward and realistic solution to enable a massive deployment of always connected Machines around the globe. Nevertheless, a paradigm shift in the conception and design of future...

Performance/capacity gains from QoS differentiation in HSDPA networks: An operator perspective

Mobile network operators are currently preparing the introduction of QoS differentiation mechanisms in their 3G networks, as a means to support service-specific quality requirements, to enable the offering of distinct subscription forms and/or to enhance the resource efficiency and hence network capacity. In this paper we quantify the attainable...

Multi-Technology Self-Healing

Location-based admission control for differentiated services in 3G cellular networks

Third generation wireless systems can simultaneously accommodate flow transmissions of users with widely heterogeneous applications. As resources are limited (particularly in the air interface), admission control is necessary to ensure that all active users are accommodated with sufficient capacity to meet their specific Quality of Service...

A truncation method for modelling effective antenna patterns in urban areas

Signal level predictions for sector antennas in mobile networks strongly depend on the antenna pattern used in the prediction tool. For built-up areas, reflections and scattering often lead to a significant energy component at the back of the antenna, and the theoretical antenna pattern does not account for this effect. We propose a method that ...