UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

User association in massive MIMO and mmWave enabled HetNets powered by renewable energy

Xu, B; Chen, Y; Elkashlan, M; Zhang, T; Wong, KK; (2016) User association in massive MIMO and mmWave enabled HetNets powered by renewable energy. In: 2016 IEEE Wireless Communications and Networking Conference (WCNC 2016): Proceedings. (pp. pp. 1277-1282). Institute of Electrical and Electronics Engineers (IEEE) Green open access

[thumbnail of 1570220165-2.pdf]
Preview
Text
1570220165-2.pdf - Accepted Version

Download (280kB) | Preview

Abstract

This paper considers a hybrid heterogeneous network (HetNet), where macro cells adopt massive multiple-input multiple-output (MIMO), and small cells adopt millimeter wave (mmWave) transmissions. We assume that all base stations (BSs) are solely powered by the renewable energy. The implementation of these emerging techniques has a substantial effect on the user association (UA). Motivated by this, we formulate a user association problem to maximize the network utility while the power cost of each BS does not exceed the harvested energy. To solve it, a low complexity distributed UA algorithm is proposed. The results demonstrate that the proposed algorithm achieves higher throughput than the max reference signal received power (RSRP) and max signal-To-interference-plus-noise ratio (SINR) UAs. It also shows that increasing the number of antennas at the macro cell BS with more power consumption, the throughput continues to increase by using the proposed algorithm, compared to the decrease in throughput by using the existing ones. Increasing the number of mmWave BSs, mmWave BS antennas or mmWave bandwidths can significantly improve the throughput. Compared with massive MIMO macro cells, mmWave small cells play a dominant role in enhancing the throughput of the networks due to the larger bandwidths.

Type: Proceedings paper
Title: User association in massive MIMO and mmWave enabled HetNets powered by renewable energy
Event: Wireless Communications and Networking Conference (WCNC 2016), 3-6 April 2016, Doha, Qatar
ISBN-13: 9781467398152
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/WCNC.2016.7564849
Publisher version: http://dx.doi.org/10.1109/WCNC.2016.7564849
Language: English
Additional information: Copyright © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising 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.
Keywords: MIMO communication; cellular radio; radio networks; radiofrequency interference;renewable energy sources; telecommunication power management; hybrid heterogeneous network; macro cellular radio; massive MIMO; massive multiple input multiple output system; millimeter wave enabled HetNets; mmWave transmissions; renewable energy; signal-to-interference-plus-noise ratio; user association; Antenna arrays; Energy harvesting; MIMO; Power demand; Renewable energy sources; Throughput
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1522133
Downloads since deposit
215Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item