Resource and Mobility Management in the Network Layer of 5G Cellular Ultra-Dense Networks

© 2017 IEEE. Personal use of this material is permitted. Permissíon from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertisíng or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.[EN] The provision of very high capacity is one of the big challenges of the 5G cellular technology. This challenge will not be met using traditional approaches like increasing spectral efficiency and bandwidth, as witnessed in previous technology generations. Cell densification will play a major role thanks to its ability to increase the spatial reuse of the available resources. However, this solution is accompanied by some additional management challenges. In this article, we analyze and present the most promising solutions identified in the METIS project for the most relevant network layer challenges of cell densification: resource, interference and mobility management.This work was performed in the framework of the FP7 project ICT-317669 METIS, which is partly funded by the European Union. The authors would like to acknowledge the contributions of their colleagues in METIS, although the views expressed are those of the authors and do not necessarily represent the project.Calabuig Soler, D.; Barmpounakis, S.; Giménez Colás, S.; Kousaridas, A.; Lakshmana, TR.; Lorca, J.; Lunden, P.... (2017). Resource and Mobility Management in the Network Layer of 5G Cellular Ultra-Dense Networks. IEEE Communications Magazine. 55(6):162-169. https://doi.org/10.1109/MCOM.2017.1600293S16216955

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In this document we provide performance assessments of the most promising techniques that were studied within Work Package 1 (WP1) of the ARTIST4G project related to interference avoidance. The results are based on evolved techniques that were identified and classified in deliverable D1.1 and investigated in deliverable D1.2 and D1.3, as well as novel alternative techniques that are introduced and assessed in this document.Based on the insights from these performance results we provide a synthetic perspective over the most promising solutions for interference avoidance. We argue that these solutions can reach a satisfactory trade-off in terms of performance benefits vs complexity of implementation. Some of these techniques are also identified as complementary techniques towards an integrated interference avoidance concept

EU FP7 INFSO-ICT-247223 ARTIST4G, D1.4 Interference Avoidance Techniques and System Design

In this document we provide performance assessments of the most promising techniques that were studied within Work Package 1 (WP1) of the ARTIST4G project related to interference avoidance. The results are based on evolved techniques that were identified and classified in deliverable D1.1 and investigated in deliverable D1.2 and D1.3, as well as novel alternative techniques that are introduced and assessed in this document.Based on the insights from these performance results we provide a synthetic perspective over the most promising solutions for interference avoidance. We argue that these solutions can reach a satisfactory trade-off in terms of performance benefits vs complexity of implementation. Some of these techniques are also identified as complementary techniques towards an integrated interference avoidance concept

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EU FP7 INFSO-ICT-317669 METIS, D3.1 Positioning of multi-node/multi-antenna technologies

This document describes the research activity in multi-node/multi-antenna technologies within METIS and positions it with respect to the state-of-the-art in the academic literature and in the standardization bodies. Based on the state-of-the-art and as well as on the METIS objectives,we set the research objectives and we group the different activities (or technology components) into research clusters with similar research objectives. The technologycomponents and the research objectives have been set to achieve an ambidextrous purpose. On one side we aim at providing the METIS system with those technological components that are a natural but non-trivial evolution of 4G. On the other side, we aim at seeking for disruptivetechnologies that could radically change 5G with respect to 4G. Moreover, we mapped the different technology components to METIS’ other activities and to the overall goals of theproject