The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Network slicing is a fundamental feature of 5G systems that allows the partitioning of a single network into a number of segregated logical networks, each optimized for a particular type of service, or dedicated to a particular customer or application. While support for network slicing (e.g. identifiers, functions, signalling) is already defined in the latest 3GPP Release 15 specifications, solutions...
This paper addresses the implementation of Radio Resource Management (RRM) and Self-Organizing Networks (SON) functions in virtualized multi-tenant small cell networks. In this context, the deployment and operation of RRM/SON functions as virtualized services facilitates the customization of the Radio Access Network (RAN) on a per-tenant basis. Specifically, this paper develops the architectural and...
The use of Long Term Evolution (LTE) in the unlicensed 5 GHz band, referred to as LTE-U or Licensed Assisted Access (LAA), is a promising enhancement to increase the capacity of LTE networks and meet the requirements of future systems. This paper analyses the use of fully distributed channel selection mechanisms for facilitating the coexistence among different LTE-U and/or Wi-Fi systems operating...
Multi-tenancy allows diverse agents sharing the infrastructure in the 5th generation of mobile networks. Such a feature calls for more automated and faster planning procedures in order to adapt the network capacity to the varying traffic demand. To achieve these goals, Small Cells offer network providers more flexible, scalable, and cost-effective solutions compared to macrocell deployments. This...
This paper aims to improve the user Quality of Service (QoS) in 5G networks by introducing a user-centric view that exploits the predictability of the user's daily motifs. An agglomerative clustering is used to identify these motifs according to the cells in which the user is camping during the day. Then, a technique to extract the personalised QoS observed by the user is proposed. The methodology...
The sharing of Radio Access Networks is gaining momentum in small cell scenarios, due to the associated reduction in capital and operational costs. In this scenario, the split of radio resources among tenants sharing the network becomes a fundamental problem to provide each one with its required capacity. In this respect, this paper proposes a multi-tenant admission control scheme for performing this...
The Cloud Enabled Small Cell (CESC) concept proposed in EU funded project SESAME has emerged as a promising solution to form a multi-tenant, multi-service architecture at the network edge according to 5G needs. It allows several operators/service providers to engage in a sharing model of both radio access capacity and Mobile Edge Computing (MEC) capabilities. From a business perspective, the shared...
Small Cell as a Service (SCaaS) is envisaged as a solution to facilitate the provisioning of shared radio access capacity to mobile operators in areas where dedicated per-operator deployments may be impractical, typically highly densified scenarios such as stadiums, malls, office buildings, etc. In this context, this paper firstly establishes a reference framework for SCaaS provisioning from the Radio...
Self-Organizing Network (SON) functionalities in forthcoming 5G systems stand as a promising field for the fertilization of Artificial Intelligence (AI) mechanisms. In this respect, this paper analyzes how SON functionalities for radio access network planning and optimization in future 5G systems can be built upon AI concepts. A framework is presented that processes input data from multiple sources...
This paper addresses the channel selection problem for Long Term Evolution Unlicensed (LTE-U). Channel selection is a frequency-domain mechanism that facilitates the coexistence of multiple networks sharing the unlicensed band. In particular, the paper considers a fully distributed approach where each small cell autonomously selects the channel to set-up an LTE-U carrier. The problem is modeled using...
The use of Long Term Evolution (LTE) in the unlicensed 5 GHz band, referred to as LTE-U, is a promising enhancement to increase the capacity of LTE networks and meet the requirements of future systems. This paper considers a Q-learning based Channel Selection strategy to decide the most appropriate channel to use for downlink traffic offloading in the unlicensed band as a mechanism to greatly facilitate...
The highly demanding requirements envisaged for future 5G networks together with the required support of new customers from vertical industries (e.g. e-health, automotive, energy) pose a big challenge for operators in 5G on how to balance investments, user experience and profitability. There will be the need to revisit the actual methodologies of network planning and operation, fully exploiting cognitive...
The use of Long Term Evolution (LTE) in the unlicensed 5 GHz band, referred to as LTE-U, is a promising enhancement to increase the capacity of LTE networks and meet the requirements foreseen for future systems. Nevertheless, coexistence among several LTE-U and/or Wi-Fi systems in the same band is a key technical challenge to be resolved. In this context, this paper focuses on the channel selection...
Heterogeneous Networks (HetNets) have been a crucial point in the evolution of mobile networks that boost the network performance with the addition of small cells. The use of Enhanced ICIC (eICIC) techniques such as Almost Blank Subframes (ABS) has been introduced in HetNets to protect the small cells from high interferences. However this is done at the expense of lower macrocell user capacities....
User demand for capacity and high data rate applications imposes the need for new technologies able to cope with these challenges. Fourth Generation cellular networks have set the initiative for a technology evolution that will surpass the constraints and provide better quality of service and improved performance. In this context, Heterogeneous Networks (HetNets) deployments, combining a variety of...
The progressive deployment of cell sites in wireless networks to deal with the massive demand of wireless services experienced in the last years has led to a huge increase in energy consumption and associated operational expenditures for wireless network operators. As a result, significant research efforts are being recently devoted towards energy efficient wireless communications. The use of relay...
In this paper the results of intensive measurement campaigns performed inside the buildings in two locations (Poznań, Poland and Barcelona, Spain) are presented and analyzed to investigate their potential in the generation of digital indoor radio environment maps. The existence of such detailed and stable maps will allow for further definition of the allowed transmit power of small cell transceivers...
This paper presents a real-time testbed based on reconfigurable devices able to transmit and receive data at different operating frequencies, which are dynamically configured. The main objective of this paper is to provide an advanced and realistic framework where the performance of algorithms and policies for spectrum selection in Cognitive Radio (CR) networks can be fully evaluated in a real-time...
This letter presents a rule-based solution search (RBSS) algorithm for self-optimization in a cellular network. It improves the solution search process of classical optimization methodologies by including a set of rules that capture the knowledge of how a given problem can be solved. The results obtained in a scenario using measurements from a real network reveal that including the RBSS algorithm...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.