GSM Co-Channel and Adjacent Channel Interference Analysis and Optimization

Most current Global System for Mobile Communications （GSM） frequency planning methods evaluate the interference and assign frequencies based on measurement reports. Assigning the same or adjacent frequencies to cells close to each other will introduce co-channel and adjacent channel interference whi...

Full description

Saved in:
Bibliographic Details
Published in:Tsinghua science and technology 2011-12, Vol.16 (6), p.583-588
Main Authors: Lan, Lina, Gou, Xuerong, Mao, Jingli, Ke, Wenyuan
Format: Article
Language:chi ; eng
Subjects:
Accuracy
azimuth ward
base station site layer
Channels
co-channel and adjacent channel interference
Communication systems
GSM frequency optimization
GSM网络
Intelligence
Interference
interference evaluation model
neighborhood relationship
Networks
Optimization
Stations
triangulation
优化
传统方法
全球移动通信
同频
干扰分析
邻频干扰
频率规划
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c3835-47d96a199dd7284bc7b28666258d999f459be13d5bbec93b5b2b70c543408733
cites
container_end_page 588
container_issue 6
container_start_page 583
container_title Tsinghua science and technology
container_volume 16
creator Lan, Lina
Gou, Xuerong
Mao, Jingli
Ke, Wenyuan
description Most current Global System for Mobile Communications （GSM） frequency planning methods evaluate the interference and assign frequencies based on measurement reports. Assigning the same or adjacent frequencies to cells close to each other will introduce co-channel and adjacent channel interference which will reduce network performance. Traditionally, man power is used to check and allocate new frequencies which is time consuming and the accuracy is not satisfactory. This paper presents an intelligent analysis method for optimization of co-channel and adjacent channel interference by exploiting cell configuration information. The method defines an interference evaluation model by analyzing various factors such as the base station layer, the azimuth ward relationship, and the cell neighborhood relationships. The interference for each frequency is evaluated and the problem frequencies are optimized. This method is verified by a large number of actual datasets from an in-service GSM network. The results show this method has better intelligence, accuracy, timeliness, and visualization than traditional methods.
doi_str_mv 10.1016/S1007-0214(11)70078-5
format article
fullrecord <record><control><sourceid>wanfang_jour_proqu</sourceid><recordid>TN_cdi_wanfang_journals_qhdxxb_e201106005</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cqvip_id>40645096</cqvip_id><wanfj_id>qhdxxb_e201106005</wanfj_id><els_id>S1007021411700785</els_id><sourcerecordid>qhdxxb_e201106005</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3835-47d96a199dd7284bc7b28666258d999f459be13d5bbec93b5b2b70c543408733</originalsourceid><addsrcrecordid>eNqFkctuEzEUhkcIJErhEZCGXbsYOMf3WaEograoqIt2b3lsT-No4knsSWl5-jpJs87qXPSdi_6_qr4ifEdA8eMeAWQDBNkF4qUshWr4u-oMVUmkAPG-5EfkY_Up5yUAFVzSs-rP1f3fej4284WJ0Q-1ia6euaWxPk71sXkTJ596n3y0vp5FM7zkkPfo3XoKq_DfTGGMn6sPvRmy__IWz6uH378e5tfN7d3VzXx221iqKG-YdK0w2LbOSaJYZ2VHlBCCcOXatu0ZbzuP1PGu87alHe9IJ8FyRhkoSel5dXlY-8_E3sRHvRy3qfyU9Wbhnp877QkgggDghb04sOs0brY-T3oVsvXDYKIft1mjkMgIUkJOo0UwRKkEnEYBQSmmqCwoP6A2jTkn3-t1CiuTXgq044Tem6d3zmhEvTdP7x7_eZjzRcin4JPONuzkdyF5O2k3hpMbvr1dXozxcROKUMfTDATj0Ar6CnvTqIQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1010884837</pqid></control><display><type>article</type><title>GSM Co-Channel and Adjacent Channel Interference Analysis and Optimization</title><source>IEEE Xplore All Journals</source><creator>Lan, Lina ; Gou, Xuerong ; Mao, Jingli ; Ke, Wenyuan</creator><creatorcontrib>Lan, Lina ; Gou, Xuerong ; Mao, Jingli ; Ke, Wenyuan</creatorcontrib><description>Most current Global System for Mobile Communications （GSM） frequency planning methods evaluate the interference and assign frequencies based on measurement reports. Assigning the same or adjacent frequencies to cells close to each other will introduce co-channel and adjacent channel interference which will reduce network performance. Traditionally, man power is used to check and allocate new frequencies which is time consuming and the accuracy is not satisfactory. This paper presents an intelligent analysis method for optimization of co-channel and adjacent channel interference by exploiting cell configuration information. The method defines an interference evaluation model by analyzing various factors such as the base station layer, the azimuth ward relationship, and the cell neighborhood relationships. The interference for each frequency is evaluated and the problem frequencies are optimized. This method is verified by a large number of actual datasets from an in-service GSM network. The results show this method has better intelligence, accuracy, timeliness, and visualization than traditional methods.</description><identifier>ISSN: 1007-0214</identifier><identifier>EISSN: 1878-7606</identifier><identifier>EISSN: 1007-0214</identifier><identifier>DOI: 10.1016/S1007-0214(11)70078-5</identifier><language>chi ; eng</language><publisher>Elsevier Ltd</publisher><subject>Accuracy ; azimuth ward ; base station site layer ; Channels ; co-channel and adjacent channel interference ; Communication systems ; GSM frequency optimization ; GSM网络 ; Intelligence ; Interference ; interference evaluation model ; neighborhood relationship ; Networks ; Optimization ; Stations ; triangulation ; 优化 ; 传统方法 ; 全球移动通信 ; 同频 ; 干扰分析 ; 邻频干扰 ; 频率规划</subject><ispartof>Tsinghua science and technology, 2011-12, Vol.16 (6), p.583-588</ispartof><rights>2011 Tsinghua University Press</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3835-47d96a199dd7284bc7b28666258d999f459be13d5bbec93b5b2b70c543408733</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/85782X/85782X.jpg</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Lan, Lina</creatorcontrib><creatorcontrib>Gou, Xuerong</creatorcontrib><creatorcontrib>Mao, Jingli</creatorcontrib><creatorcontrib>Ke, Wenyuan</creatorcontrib><title>GSM Co-Channel and Adjacent Channel Interference Analysis and Optimization</title><title>Tsinghua science and technology</title><addtitle>Tsinghua Science and Technology</addtitle><description>Most current Global System for Mobile Communications （GSM） frequency planning methods evaluate the interference and assign frequencies based on measurement reports. Assigning the same or adjacent frequencies to cells close to each other will introduce co-channel and adjacent channel interference which will reduce network performance. Traditionally, man power is used to check and allocate new frequencies which is time consuming and the accuracy is not satisfactory. This paper presents an intelligent analysis method for optimization of co-channel and adjacent channel interference by exploiting cell configuration information. The method defines an interference evaluation model by analyzing various factors such as the base station layer, the azimuth ward relationship, and the cell neighborhood relationships. The interference for each frequency is evaluated and the problem frequencies are optimized. This method is verified by a large number of actual datasets from an in-service GSM network. The results show this method has better intelligence, accuracy, timeliness, and visualization than traditional methods.</description><subject>Accuracy</subject><subject>azimuth ward</subject><subject>base station site layer</subject><subject>Channels</subject><subject>co-channel and adjacent channel interference</subject><subject>Communication systems</subject><subject>GSM frequency optimization</subject><subject>GSM网络</subject><subject>Intelligence</subject><subject>Interference</subject><subject>interference evaluation model</subject><subject>neighborhood relationship</subject><subject>Networks</subject><subject>Optimization</subject><subject>Stations</subject><subject>triangulation</subject><subject>优化</subject><subject>传统方法</subject><subject>全球移动通信</subject><subject>同频</subject><subject>干扰分析</subject><subject>邻频干扰</subject><subject>频率规划</subject><issn>1007-0214</issn><issn>1878-7606</issn><issn>1007-0214</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><recordid>eNqFkctuEzEUhkcIJErhEZCGXbsYOMf3WaEograoqIt2b3lsT-No4knsSWl5-jpJs87qXPSdi_6_qr4ifEdA8eMeAWQDBNkF4qUshWr4u-oMVUmkAPG-5EfkY_Up5yUAFVzSs-rP1f3fej4284WJ0Q-1ia6euaWxPk71sXkTJ596n3y0vp5FM7zkkPfo3XoKq_DfTGGMn6sPvRmy__IWz6uH378e5tfN7d3VzXx221iqKG-YdK0w2LbOSaJYZ2VHlBCCcOXatu0ZbzuP1PGu87alHe9IJ8FyRhkoSel5dXlY-8_E3sRHvRy3qfyU9Wbhnp877QkgggDghb04sOs0brY-T3oVsvXDYKIft1mjkMgIUkJOo0UwRKkEnEYBQSmmqCwoP6A2jTkn3-t1CiuTXgq044Tem6d3zmhEvTdP7x7_eZjzRcin4JPONuzkdyF5O2k3hpMbvr1dXozxcROKUMfTDATj0Ar6CnvTqIQ</recordid><startdate>201112</startdate><enddate>201112</enddate><creator>Lan, Lina</creator><creator>Gou, Xuerong</creator><creator>Mao, Jingli</creator><creator>Ke, Wenyuan</creator><general>Elsevier Ltd</general><general>School of Network Education, Beijing University of Posts and Telecommunications, Beijing 100088, China</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>201112</creationdate><title>GSM Co-Channel and Adjacent Channel Interference Analysis and Optimization</title><author>Lan, Lina ; Gou, Xuerong ; Mao, Jingli ; Ke, Wenyuan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3835-47d96a199dd7284bc7b28666258d999f459be13d5bbec93b5b2b70c543408733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>chi ; eng</language><creationdate>2011</creationdate><topic>Accuracy</topic><topic>azimuth ward</topic><topic>base station site layer</topic><topic>Channels</topic><topic>co-channel and adjacent channel interference</topic><topic>Communication systems</topic><topic>GSM frequency optimization</topic><topic>GSM网络</topic><topic>Intelligence</topic><topic>Interference</topic><topic>interference evaluation model</topic><topic>neighborhood relationship</topic><topic>Networks</topic><topic>Optimization</topic><topic>Stations</topic><topic>triangulation</topic><topic>优化</topic><topic>传统方法</topic><topic>全球移动通信</topic><topic>同频</topic><topic>干扰分析</topic><topic>邻频干扰</topic><topic>频率规划</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lan, Lina</creatorcontrib><creatorcontrib>Gou, Xuerong</creatorcontrib><creatorcontrib>Mao, Jingli</creatorcontrib><creatorcontrib>Ke, Wenyuan</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical &amp; Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts – Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Tsinghua science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Lan, Lina</au><au>Gou, Xuerong</au><au>Mao, Jingli</au><au>Ke, Wenyuan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>GSM Co-Channel and Adjacent Channel Interference Analysis and Optimization</atitle><jtitle>Tsinghua science and technology</jtitle><addtitle>Tsinghua Science and Technology</addtitle><date>2011-12</date><risdate>2011</risdate><volume>16</volume><issue>6</issue><spage>583</spage><epage>588</epage><pages>583-588</pages><issn>1007-0214</issn><eissn>1878-7606</eissn><eissn>1007-0214</eissn><abstract>Most current Global System for Mobile Communications （GSM） frequency planning methods evaluate the interference and assign frequencies based on measurement reports. Assigning the same or adjacent frequencies to cells close to each other will introduce co-channel and adjacent channel interference which will reduce network performance. Traditionally, man power is used to check and allocate new frequencies which is time consuming and the accuracy is not satisfactory. This paper presents an intelligent analysis method for optimization of co-channel and adjacent channel interference by exploiting cell configuration information. The method defines an interference evaluation model by analyzing various factors such as the base station layer, the azimuth ward relationship, and the cell neighborhood relationships. The interference for each frequency is evaluated and the problem frequencies are optimized. This method is verified by a large number of actual datasets from an in-service GSM network. The results show this method has better intelligence, accuracy, timeliness, and visualization than traditional methods.</abstract><pub>Elsevier Ltd</pub><doi>10.1016/S1007-0214(11)70078-5</doi><tpages>6</tpages></addata></record>
fulltext fulltext
identifier ISSN: 1007-0214
ispartof Tsinghua science and technology, 2011-12, Vol.16 (6), p.583-588
issn 1007-0214
1878-7606
1007-0214
language chi ; eng
recordid cdi_wanfang_journals_qhdxxb_e201106005
source IEEE Xplore All Journals
subjects Accuracy
azimuth ward
base station site layer
Channels
co-channel and adjacent channel interference
Communication systems
GSM frequency optimization
GSM网络
Intelligence
Interference
interference evaluation model
neighborhood relationship
Networks
Optimization
Stations
triangulation
优化
传统方法
全球移动通信
同频
干扰分析
邻频干扰
频率规划
title GSM Co-Channel and Adjacent Channel Interference Analysis and Optimization
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T18%3A13%3A03IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wanfang_jour_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=GSM%20Co-Channel%20and%20Adjacent%20Channel%20Interference%20Analysis%20and%20Optimization&rft.jtitle=Tsinghua%20science%20and%20technology&rft.au=Lan,%20Lina&rft.date=2011-12&rft.volume=16&rft.issue=6&rft.spage=583&rft.epage=588&rft.pages=583-588&rft.issn=1007-0214&rft.eissn=1878-7606&rft_id=info:doi/10.1016/S1007-0214(11)70078-5&rft_dat=%3Cwanfang_jour_proqu%3Eqhdxxb_e201106005%3C/wanfang_jour_proqu%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c3835-47d96a199dd7284bc7b28666258d999f459be13d5bbec93b5b2b70c543408733%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1010884837&rft_id=info:pmid/&rft_cqvip_id=40645096&rft_wanfj_id=qhdxxb_e201106005&rfr_iscdi=true