The Mobile Base Station Strategy for Wireless Networks With Successive Interference Cancellation

Successive interference cancellation (SIC) and mobile base stations (MBSs) have been separately exploited to effectively collect data in wireless networks. This paper aims to jointly optimize SIC and MBSs movement to minimize MBS's data collection time for given data. First, we design a DPS alg...

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Main Authors:	Lei Shi, Yun Hu, Juan Xu, Yi Shi, Xu Ding
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Interference management mobile base station successive interference cancellation wireless network
Online Access:	https://ieeexplore.ieee.org/document/8747411/

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spelling	doaj-91f3ad03548d44429ab32840cf4b227d2021-03-29T23:34:51ZengIEEEIEEE Access2169-35362019-01-017885708857810.1109/ACCESS.2019.29254238747411The Mobile Base Station Strategy for Wireless Networks With Successive Interference CancellationLei Shi0https://orcid.org/0000-0003-4042-592XYun Hu1Juan Xu2https://orcid.org/0000-0002-6626-1700Yi Shi3Xu Ding4School of Computer and Information, Hefei University of Technology, Hefei, ChinaSchool of Computer and Information, Hefei University of Technology, Hefei, ChinaSchool of Computer and Information, Hefei University of Technology, Hefei, ChinaDepartment of Electronics and Communication Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA, USASchool of Computer and Information, Hefei University of Technology, Hefei, ChinaSuccessive interference cancellation (SIC) and mobile base stations (MBSs) have been separately exploited to effectively collect data in wireless networks. This paper aims to jointly optimize SIC and MBSs movement to minimize MBS's data collection time for given data. First, we design a DPS algorithm for finding some dominating points (good locations for an MBS) in a two-dimensional area. Based on these dominating points, we build a suitable trajectory for MBS's traveling. Then, we divide the whole traveling path into many path parts and then allocate one or several time slots for each path part. In each time slot, we design a farthest-node-allocation (FNA) algorithm for scheduling node transmissions and determining the MBS's moving speed. The simulation results show that the proposed algorithm can significantly reduce the MBS's data collection time than the scheme without using the SIC.https://ieeexplore.ieee.org/document/8747411/Interference managementmobile base stationsuccessive interference cancellationwireless network
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Lei Shi Yun Hu Juan Xu Yi Shi Xu Ding
spellingShingle	Lei Shi Yun Hu Juan Xu Yi Shi Xu Ding The Mobile Base Station Strategy for Wireless Networks With Successive Interference Cancellation IEEE Access Interference management mobile base station successive interference cancellation wireless network
author_facet	Lei Shi Yun Hu Juan Xu Yi Shi Xu Ding
author_sort	Lei Shi
title	The Mobile Base Station Strategy for Wireless Networks With Successive Interference Cancellation
title_short	The Mobile Base Station Strategy for Wireless Networks With Successive Interference Cancellation
title_full	The Mobile Base Station Strategy for Wireless Networks With Successive Interference Cancellation
title_fullStr	The Mobile Base Station Strategy for Wireless Networks With Successive Interference Cancellation
title_full_unstemmed	The Mobile Base Station Strategy for Wireless Networks With Successive Interference Cancellation
title_sort	mobile base station strategy for wireless networks with successive interference cancellation
publisher	IEEE
series	IEEE Access
issn	2169-3536
publishDate	2019-01-01
description	Successive interference cancellation (SIC) and mobile base stations (MBSs) have been separately exploited to effectively collect data in wireless networks. This paper aims to jointly optimize SIC and MBSs movement to minimize MBS's data collection time for given data. First, we design a DPS algorithm for finding some dominating points (good locations for an MBS) in a two-dimensional area. Based on these dominating points, we build a suitable trajectory for MBS's traveling. Then, we divide the whole traveling path into many path parts and then allocate one or several time slots for each path part. In each time slot, we design a farthest-node-allocation (FNA) algorithm for scheduling node transmissions and determining the MBS's moving speed. The simulation results show that the proposed algorithm can significantly reduce the MBS's data collection time than the scheme without using the SIC.
topic	Interference management mobile base station successive interference cancellation wireless network
url	https://ieeexplore.ieee.org/document/8747411/
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The Mobile Base Station Strategy for Wireless Networks With Successive Interference Cancellation

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