Task offloading and resource allocation in NOMA-based ultra-dense MEC networks

In order to improve spectrum efficiency and meet the service demands of massive users, a non-orthogonal multiple access (NOMA)-based ultra-dense mobile edge computing (MEC) system was considered.In order to solve the serious communication interference caused by simultaneous offloading of multiple us...

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Main Authors: Yun SHENG, Chen XU, Guangyuan ZHENG
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2022-02-01
Series:Dianxin kexue
Subjects:
Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022033/
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author Yun SHENG
Chen XU
Guangyuan ZHENG
author_facet Yun SHENG
Chen XU
Guangyuan ZHENG
author_sort Yun SHENG
collection DOAJ
description In order to improve spectrum efficiency and meet the service demands of massive users, a non-orthogonal multiple access (NOMA)-based ultra-dense mobile edge computing (MEC) system was considered.In order to solve the serious communication interference caused by simultaneous offloading of multiple users and make efficient use of edge server resources, a joint task offloading and resource allocation scheme was proposed to minimize the system energy consumption while meeting the quality of service (QoS) of all users.Offloading decision, power control, computation resource and subchannel resource allocation were jointly considered in the proposed scheme.Simulations results show that the proposed scheme can efficiently lower system energy consumption compared to the other offloading schemes.
format Article
id doaj-art-6f27895aa0cb4224b40006cd92b5cd8b
institution Kabale University
issn 1000-0801
language zho
publishDate 2022-02-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-6f27895aa0cb4224b40006cd92b5cd8b2025-01-15T03:26:40ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012022-02-0138354659809285Task offloading and resource allocation in NOMA-based ultra-dense MEC networksYun SHENGChen XUGuangyuan ZHENGIn order to improve spectrum efficiency and meet the service demands of massive users, a non-orthogonal multiple access (NOMA)-based ultra-dense mobile edge computing (MEC) system was considered.In order to solve the serious communication interference caused by simultaneous offloading of multiple users and make efficient use of edge server resources, a joint task offloading and resource allocation scheme was proposed to minimize the system energy consumption while meeting the quality of service (QoS) of all users.Offloading decision, power control, computation resource and subchannel resource allocation were jointly considered in the proposed scheme.Simulations results show that the proposed scheme can efficiently lower system energy consumption compared to the other offloading schemes.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022033/MECNOMAtask offloadingresource allocation
spellingShingle Yun SHENG
Chen XU
Guangyuan ZHENG
Task offloading and resource allocation in NOMA-based ultra-dense MEC networks
Dianxin kexue
MEC
NOMA
task offloading
resource allocation
title Task offloading and resource allocation in NOMA-based ultra-dense MEC networks
title_full Task offloading and resource allocation in NOMA-based ultra-dense MEC networks
title_fullStr Task offloading and resource allocation in NOMA-based ultra-dense MEC networks
title_full_unstemmed Task offloading and resource allocation in NOMA-based ultra-dense MEC networks
title_short Task offloading and resource allocation in NOMA-based ultra-dense MEC networks
title_sort task offloading and resource allocation in noma based ultra dense mec networks
topic MEC
NOMA
task offloading
resource allocation
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2022033/
work_keys_str_mv AT yunsheng taskoffloadingandresourceallocationinnomabasedultradensemecnetworks
AT chenxu taskoffloadingandresourceallocationinnomabasedultradensemecnetworks
AT guangyuanzheng taskoffloadingandresourceallocationinnomabasedultradensemecnetworks