eprintid: 10055242
rev_number: 26
eprint_status: archive
userid: 608
dir: disk0/10/05/52/42
datestamp: 2018-09-05 13:57:55
lastmod: 2021-12-01 23:38:28
status_changed: 2019-02-04 11:51:58
type: article
metadata_visibility: show
creators_name: Hao, W
creators_name: Chu, Z
creators_name: Zhou, F
creators_name: Yang, S
creators_name: Sun, G
creators_name: Wong, KK
title: Green Communication for NOMA-Based CRAN
ispublished: inpress
divisions: UCL
divisions: B04
divisions: C05
divisions: F46
keywords: NOMA, Wireless communication, Internet of Things, Resource management, Quality of service, Microwave devices, Microwave communication
note: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
abstract: The number of wireless devices is growing rapidly on a daily basis echoing the increasing number of applications of the Internet of Thing (IoT). Facing massive connections and unavoidable interference, how to provide a green communication is a concerning matter. In this regard, non-orthogonal multiple-access (NOMA) is a natural communications technology that can scale with the massive number of simultaneous connections for a limited bandwidth. In this paper, we aim to maximize the energy efficiency (EE) for a NOMA-based cloud radio access network (CRAN), where sub-6 GHz and millimeter wave (mmWave) bands are used in fronthaul and access links, respectively. In particular, we formulate the power optimization problem to maximize the EE of the system subject to the fronthaul capacity and transmit power constraints. To address this nonconvex problem, we first convert the fractional objective function into a subtractive form. A two-layer algorithm is then proposed. In the outer loop, the ℓ1-norm technique is adopted to transform the nonconvex fronthaul capacity constraint into a convex one, whereas in the inner loop, the weighted minimum mean square error (WMMSE) approach is applied. Simulation results indicate that the proposed NOMA scheme can obtain higher EE as well as throughput when compared with orthogonal multiple-access (OMA) methods.
date: 2018-07-04
date_type: published
official_url: https://doi.org/10.1109/JIOT.2018.2852808
oa_status: green
full_text_type: other
language: eng
primo: open
primo_central: open_green
article_type_text: Journal Article
verified: verified_manual
elements_id: 1568268
doi: 10.1109/JIOT.2018.2852808
language_elements: English
lyricists_name: Wong, Kai-Kit
lyricists_id: KWONG98
actors_name: Wong, Kai-Kit
actors_id: KWONG98
actors_role: owner
full_text_status: public
publication: IEEE Internet of Things Journal
issn: 2327-4662
citation:        Hao, W;    Chu, Z;    Zhou, F;    Yang, S;    Sun, G;    Wong, KK;      (2018)    Green Communication for NOMA-Based CRAN.                   IEEE Internet of Things Journal        10.1109/JIOT.2018.2852808 <https://doi.org/10.1109/JIOT.2018.2852808>.    (In press).    Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10055242/1/Wong_Green%20Communication%20for%20NOMA-Based%20CRAN_AAM.pdf