Optimising energy efficiency of non-orthogonal multiple access for wireless backhaul in heterogeneous cloud radio access network
Article
Vien, Q., Le, T., Barn, B. and Phan, C. 2016. Optimising energy efficiency of non-orthogonal multiple access for wireless backhaul in heterogeneous cloud radio access network. IET Communications. 10 (18), pp. 2516-2524. https://doi.org/10.1049/iet-com.2016.0247
Type | Article |
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Title | Optimising energy efficiency of non-orthogonal multiple access for wireless backhaul in heterogeneous cloud radio access network |
Authors | Vien, Q., Le, T., Barn, B. and Phan, C. |
Abstract | This paper studies the downlink problem of a cloud-based central station (CCS) to multiple base stations (BSs) in a heterogeneous cellular network sharing the same time and frequency resources. We adopt non-orthogonal multiple access (NOMA) and propose power allocation for the wireless downlink in the heterogeneous cloud radio access network (HCRAN). Taking into account practical channel modelling with power consumptions at BSs of different cell types (e.g. macro-cell, micro-cell, etc.) and backhauling power, we analyse the energy efficiency (EE) of the practical HCRAN utilising NOMA. Simulation results indicate that the proposed NOMA for the HCRAN outperforms the conventional orthogonal frequency division multiple access (OFDMA) scheme in terms of providing higher EE of up to four times. Interestingly, the results reveal a fact that the EE of the NOMA approach is not always an increasing function of the number of BSs but varies as a quasiconcave function. This motivates us to further introduce an optimisation problem to find the optimal number of BSs that maximises the EE of the HCRAN. It is shown that, with a low power supply at the CCS, a double number of micro BSs can be served by HCRAN providing an improved EE of up to 1.6 times compared to the macro BSs and RRHs, while they achieve the same EE performance with high-power CCS. |
Keywords | energy conservation; multi-access systems; radio access networks; cellular radio; power consumption ; telecommunication power management; concave programming; cloud computing; wireless channels ; nonorthogonal multiple access energy efficiency optimisation; wireless backhaul; heterogeneous cloud radio access network ; cloud-based central station; multiple base station; heterogeneous cellular network ; resource sharing; power allocation ; wireless downlink; channel modelling ; power consumption ; NOMA approach; quasiconcave function; HCRAN EE maximisation ; high-power CCS |
Publisher | The Institution of Engineering and Technology (IET) |
Wiley | |
Journal | IET Communications |
ISSN | 1751-8628 |
Electronic | 1751-8636 |
Publication dates | |
Online | 03 Aug 2016 |
15 Dec 2016 | |
Publication process dates | |
Deposited | 04 Aug 2016 |
Accepted | 29 Jul 2016 |
Output status | Published |
Accepted author manuscript | |
Copyright Statement | Attached full text: This paper is a postprint of a paper submitted to and accepted for publication in IET Communications and is subject to Institution of Engineering and Technology Copyright. The copy of record is available at IET Digital Library |
Digital Object Identifier (DOI) | https://doi.org/10.1049/iet-com.2016.0247 |
Web of Science identifier | WOS:000391114900004 |
Language | English |
https://repository.mdx.ac.uk/item/86884
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