| dc.contributor.author | Velez, Fernando J. | |
| dc.contributor.author | Sebastião, Pedro | |
| dc.contributor.author | Costa, Rui | |
| dc.contributor.author | Robalo, Daniel | |
| dc.contributor.author | Comissário, Cláudio | |
| dc.contributor.author | Rodrigues, António | |
| dc.contributor.author | Aghvami, A. Hamid | |
| dc.date.accessioned | 2024-04-08T09:49:09Z | |
| dc.date.available | 2024-04-08T09:49:09Z | |
| dc.date.issued | 2010-02 | |
| dc.description.abstract | This chapter starts by presenting the Stanford University Interim (SUI) and modified Friis propagation models. Although the SUI model is being recommended for WiMAX, the comparison between the model and experimental results show that, in our environment, at 3.5 GHz, the modified Friis model with gama = 3 fits better the measurement values. From the analyses of the signal-to-noise-plusinterference ratio, SNIR, interference-to-noise ratio and reuse pattern, it is found that both noise and interference present a strong limitation to the performance of fixed WiMAX, mainly for higher order modulation and coding schemes (MCSs). In general terms, the use of sectorization in fixed WiMAX enables to reduce the reuse pattern while considering sub-channelisation allows for improvement on the coverage. The reduction of the reuse pattern directly corresponds to an increase in the system capacity but the improvement in the coverage range (through subchannelisation) can also allow for an improvement in UL system capacity, as adaptive MCS are used. Two different approaches are considered for graphical cellular planning, and the district of Covilha˜ is considered as a case study. On the one hand, one considered a GIS based WiMAX planning tool conceived by considering coverage issues, frequency reuse, and the impact of the different classes of service. On the other, WinpropTM is used as it distinguishes among different MCS in the graphical presentation of the results. Both tools consider the information coming from the digital terrain profile. The GIS functionalities allow for appropriately adjusting azimuth and tilt of antennas. This cellular planning exercises confirm the results of theoretical analysis, where different crowns are achieved for the coverage with each MCS (corresponding to a given range of values for SNIR), for the maximum physical throughput, and for the “best server” cells. The frequency radio resources should be considered as the most valuable resourceduring the planning of wireless broadband access networks. As a rule, spectral efficiency needs to be optimized by using several advanced techniques, corresponding to an optimization from the cost-benefit point of view. | pt_PT |
| dc.description.sponsorship | FCT; MobileMAN; Projecto de Re-equipamento Científico REEQ/1201/EEI/2005 | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Fernando J. Velez, Pedro Sebastião, Rui Costa, Daniel Robalo, Cláudio Comissário, António Rodrigues and Hamid Aghvami, “Radio and Network Planning,” Chapter in the book WiMAX Networks: Techno-economic Vision and Challenges, edited by Ramjee Prasad and Fernando J. Velez, Springer, Dordrecht, The Netherlands, 2010 | pt_PT |
| dc.identifier.doi | 10.1007/978-90-481-8752-2_8 | pt_PT |
| dc.identifier.uri | http://hdl.handle.net/10400.6/14368 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Springer | pt_PT |
| dc.relation | CROSSNET - Cross-layer and Network Planning for B3G Systems | |
| dc.relation | Cross-layer Optimization for the Coexistence of Mobile and Wireless Networks Beyond 3G | |
| dc.relation.publisherversion | https://link.springer.com/chapter/10.1007/978-90-481-8752-2_8#citeas | pt_PT |
| dc.rights.uri | http://creativecommons.org/licenses/by-nd/4.0/ | pt_PT |
| dc.subject | WiMAX | pt_PT |
| dc.subject | Radio and network planning | pt_PT |
| dc.title | Radio and Network Planning | pt_PT |
| dc.type | book part | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | CROSSNET - Cross-layer and Network Planning for B3G Systems | |
| oaire.awardTitle | Cross-layer Optimization for the Coexistence of Mobile and Wireless Networks Beyond 3G | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/POSC/POSC%2FEEA-SRI%2F57503%2F2004/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/EC/FP7/221823/EU | |
| oaire.citation.conferencePlace | Dordrecht, The Netherlands | pt_PT |
| oaire.citation.endPage | 364 | pt_PT |
| oaire.citation.startPage | 315 | pt_PT |
| oaire.citation.title | WiMAX Networks: Techno Economic Vision and Challenges | pt_PT |
| oaire.fundingStream | POSC | |
| oaire.fundingStream | FP7 | |
| person.familyName | Velez | |
| person.familyName | Amaro Sebastião | |
| person.familyName | Robalo | |
| person.givenName | Fernando J. | |
| person.givenName | Pedro Joaquim | |
| person.givenName | Daniel | |
| person.identifier | N-7737-2013 | |
| person.identifier.ciencia-id | 1510-E247-C9DB | |
| person.identifier.ciencia-id | BC19-99BC-F439 | |
| person.identifier.orcid | 0000-0001-9680-123X | |
| person.identifier.orcid | 0000-0001-7729-4033 | |
| person.identifier.orcid | 0000-0002-2425-1555 | |
| person.identifier.rid | N-8884-2013 | |
| person.identifier.scopus-author-id | 55900519300 | |
| person.identifier.scopus-author-id | 24332960100 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100008530 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | European Commission | |
| rcaap.rights | openAccess | pt_PT |
| rcaap.type | bookPart | pt_PT |
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