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Title: Energy and spectrum efficient user association in millimeter wave backhaul small cell networks
Author: Mesodiakaki, Agapi
Adelantado Freixer, Ferran  
Alonso Zarate, Luis
Di Renzo, Marco
Verikoukis, Christos
Others: Karlstad University
Universitat Oberta de Catalunya. Internet Interdisciplinary Institute (IN3)
Universitat Politècnica de Catalunya
Université Paris-Saclay
Centre Tecnològic de Telecomunicacions de Catalunya
Keywords: cell selection
long-term evolution (LTE)
millimeter wave (mmWave)
green communications
Issue Date: 10-May-2016
Publisher: IEEE Transactions on Vehicular Technology
Citation: Mesodiakaki, A., Adelantado, F., Alonso, L., Di Renzo, M. & Verikoukis, C. (2017). Energy and Spectrum Efficient User Association in Millimeter Wave Backhaul Small Cell Networks. IEEE Transactions on Vehicular Technology, 66(2), 1810-1821. doi: 10.1109/TVT.2016.2565539
Project identifier: info:eu-repo/grantAgreement/2014-SGR-1160
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Abstract: Macrocells are expected to be densely overlaid by small cells (SCs) to meet increasing capacity demands. Due to their dense deployment, some SCs will not be connected directly to the core network, and thus, they may forward their traffic to the neighboring SCs until they reach it, thereby forming a multihop backhaul (BH) network. This is a promising solution, since the expected short length of BH links enables the use of millimeter-wave (mmWave) frequencies to provide high-capacity BH. In this context, user association becomes challenging due to the multihop BH architecture, and therefore, new optimal solutions should be developed. Thus, in this paper, we study the user association problem aiming at the joint maximization of network energy efficiency (EE) and spectrum efficiency (SE), without compromising the user quality of service (QoS). The problem is formulated as an e-constraint problem, which considers the transmit energy consumption both in the access network, i.e., the links between the users and their serving cells, and the BH links. The optimal Pareto-front solutions of the problem are analytically derived for different BH technologies, and insights are gained into the EE and SE tradeoff. The proposed optimal solutions, despite their high complexity, can be used as a benchmark for the performance evaluation of user association algorithms. We also propose a heuristic algorithm, which is compared with reference solutions under different traffic scenarios and BH technologies. Our results motivate the use of mmWave BH, whereas the proposed algorithm achieves near-optimal performance.
Language: English
ISSN: 0018-9545MIAR

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