Nicholas J. Kaminski

Resource sharing in heterogeneous cloud radio access networks

Heterogeneous cloud radio access networks incorporate the heterogeneous network and cloud radio access network concepts for next generation cellular networks. H-CRANs exploit the heterogeneity of macro and small cells from HetNets, enabling cellular networks to achieve higher spectral efficiency. Meanwhile, concepts from C-RANs involving baseband units and remote radio heads enable H-CRANs to insert a centralized point of processing for cellular networks, reducing capital and operational expenditures. In this article, we investigate resource sharing in H-CRANs at three levels: spectrum, infrastructure, and network. For each level, we discuss the benefits and challenges, highlighting key enabling technologies that make resource sharing feasible in H-CRANs, such as software defined radio, virtualization, network function virtualization, and software defined networking. Through these technologies, H-CRANs can be virtualized in an overlay network capable of achieving enhanced infrastructure and spectrum sharing.

5G: Adaptable Networks Enabled by Versatile Radio Access Technologies

The requirements and key areas for 5G are gradually becoming more apparent, and it is becoming clear that 5G will need to be able to deal with increased levels of diversity in both the requirements it must fulfil and the technologies that it uses to fulfil them. The diverse and demanding requirements for 5G necessitate a shift away from the rigid networks of previous generations, toward a more versatile and adaptable network. Essential to enabling this level of adaptability in 5G networks will be the new radio access technologies that are employed. In previous generations, the radio access network (RAN) was composed of technologies and techniques that were tailored to satisfy the killer application of that era. In contrast, 5G will require versatile solutions that can be adapted to satisfy many different services and applications. The core network will also undergo fundamental changes, with increased levels of abstraction allowing for further reconfiguration of the network. The relationship between the RAN and core network will have a key role to play in managing and enabling adaptable networks. In this paper, we survey the choices and adaptability afforded by some of the radio access technologies being considered for 5G and explore how several system-level techniques, such as software-defined networking and cloud-RAN, can be utilized to enable and manage versatile 5G networks. Specifically, we focus on the relationship between new radio access technologies and emerging system-level techniques, examining how they may assist and complement each other. In this regard, we examine some tools such as virtualization and cognitive networks that can bridge this relationship. This paper is not intended to be a general survey on 5G, but rather a survey on how the requirements of flexibility and adaptability may be achieved in 5G through the coupling of versatile radio access technologies and emerging system-level techniques.

Coexistence through adaptive sensing and Markov chains

The goal of this paper is to construct a dynamic Secondary User (SU) link that can successfully coexist with a Primary User (PU).

Virtualizing testbed resources to enable remote experimentation in online telecommunications education

In this paper we present an approach towards empowering online telecommunications engineering education by enabling hands-on remote experimentation over Trinity College Dublins wireless testbed. Moreover, in order to offer a flexible testbed, capable of fulfilling the different and particular requirements of experimenters, we have created a framework that allows the virtualization of our testbed resources to create experimentation units to be used by remote experimenters/learners. Furthermore, we present the FORGEBox framework that offers an environment and resources to create online material capable to access the virtualized and physical testbed resources for incorporating experimentation into HTML-based online educational material.

A Functional Complexity Framework for the Analysis of Telecommunication Networks

The rapid evolution of network services demands new paradigms for studying and designing networks. In order to understand the underlying mechanisms that provide network functions, we propose a framework which enables the functional analysis of telecommunication networks. This framework allows us to isolate and analyse a network function as a complex system. We propose functional topologies to visualise the relationships between system entities and enable the systematic study of interactions between them. We also define a complexity metric

Radio Access Network and Spectrum Sharing in Mobile Networks: A Stochastic Geometry Perspective

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A unified radio control architecture for prototyping adaptive wireless protocols

(functional complexity) which quantifies the variety of structural patterns and roles of nodes in the topology. This complexity metric provides a wholly new approach to study the operation of telecommunication networks. We study the relationship between

Cognitive Radio Algorithms Coexisting in a Network: Performance and Parameter Sensitivity

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A neural-network-based realization of in-network computation for the Internet of Things

and different graph structures by analysing graph theory metrics in order to recognize complex organisations.

Context-aware radar modeling framework

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