dc.contributor.author |
Charilas, DE |
en |
dc.contributor.author |
Chaloulos, KS |
en |
dc.contributor.author |
Panagopoulos, AD |
en |
dc.date.accessioned |
2014-03-01T01:35:24Z |
|
dc.date.available |
2014-03-01T01:35:24Z |
|
dc.date.issued |
2011 |
en |
dc.identifier.issn |
1089-7798 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/21033 |
|
dc.subject |
broadband fixed wireless access |
en |
dc.subject |
fuzzy inference system (FIS) |
en |
dc.subject |
Power control |
en |
dc.subject |
rain fading |
en |
dc.subject.classification |
Telecommunications |
en |
dc.subject.other |
Alternative technologies |
en |
dc.subject.other |
Broadband fixed wireless access |
en |
dc.subject.other |
Carrier-to-interference ratio |
en |
dc.subject.other |
Direct sequence code division multiple access |
en |
dc.subject.other |
Downlink power control |
en |
dc.subject.other |
Energy efficient |
en |
dc.subject.other |
fuzzy inference system (FIS) |
en |
dc.subject.other |
Fuzzy inference systems |
en |
dc.subject.other |
Intercell interference |
en |
dc.subject.other |
Interfering links |
en |
dc.subject.other |
Limiting factors |
en |
dc.subject.other |
Millimeter frequencies |
en |
dc.subject.other |
Network Capacity |
en |
dc.subject.other |
Numerical calculation |
en |
dc.subject.other |
Outage time |
en |
dc.subject.other |
Path loss |
en |
dc.subject.other |
Power control schemes |
en |
dc.subject.other |
Rain attenuation |
en |
dc.subject.other |
rain fading |
en |
dc.subject.other |
Rain rates |
en |
dc.subject.other |
Wireless access networks |
en |
dc.subject.other |
Broadband networks |
en |
dc.subject.other |
Climate control |
en |
dc.subject.other |
Direct sequence systems |
en |
dc.subject.other |
Energy efficiency |
en |
dc.subject.other |
Fuzzy inference |
en |
dc.subject.other |
Fuzzy systems |
en |
dc.subject.other |
Outages |
en |
dc.subject.other |
Power control |
en |
dc.subject.other |
Rain |
en |
dc.subject.other |
Turbo codes |
en |
dc.subject.other |
Code division multiple access |
en |
dc.title |
Climate-driven fuzzy inference system for downlink power control in CDMA millimeter wireless access networks |
en |
heal.type |
journalArticle |
en |
heal.identifier.primary |
10.1109/LCOMM.2011.090911.110450 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/LCOMM.2011.090911.110450 |
en |
heal.identifier.secondary |
6042314 |
en |
heal.language |
English |
en |
heal.publicationDate |
2011 |
en |
heal.abstract |
Broadband Fixed Wireless Access (BFWA) systems operating at millimeter frequencies and using orthogonal direct sequence code division multiple access (DS-CDMA) have been proposed as an alternative technology for the enhancement of the network capacity. The major limiting factors of the capacity are the propagation phenomena (rain attenuation for frequencies above 10GHz) and intercell interference. Several power control schemes have been proposed to mitigate these factors and decrease the outage time. In this Letter we propose a new Climate-Driven Fuzzy Inference System for downlink power control with engineering inputs such as the rain induced attenuation on the wanted and the interfering links, the deterministic path loss and the clear-sky carrier-to-interference ratio. The proposed FIS scheme has different parameters based on the statistics of rain rate and is more energy efficient. Numerical calculations highlight the superiority of the proposed downlink power control compared to existing schemes. © 2011 IEEE. |
en |
heal.publisher |
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
en |
heal.journalName |
IEEE Communications Letters |
en |
dc.identifier.doi |
10.1109/LCOMM.2011.090911.110450 |
en |
dc.identifier.isi |
ISI:000297369600006 |
en |
dc.identifier.volume |
15 |
en |
dc.identifier.issue |
11 |
en |
dc.identifier.spage |
1162 |
en |
dc.identifier.epage |
1165 |
en |