DocumentCode
772681
Title
Generalised approach for evaluation of outage performance in micro- and pico-cellular networks
Author
Karagiannidis, G.K. ; Kotsopoulos, S.A. ; Mathiopoulos, P.T.
Author_Institution
Inst. for Space Applications & Remote Sensing, Nat. Obs. of Athens, Greece
Volume
149
Issue
2
fYear
2002
fDate
4/1/2002 12:00:00 AM
Firstpage
123
Lastpage
128
Abstract
Outage analysis is one of the primary objectives in the design and operation of the current generations of cellular mobile communications systems, in order to increase spectrum efficiency and meet the quality of service and the grade of service demands. A general and unified semi-analytical approach is presented for the direct evaluation of the outage probability in the presence of L mutually independent co-channel interferers for micro- and pico-cellular mobile radio environments that follow Rice or Nakagami (1960) models. Outage probability is evaluated in a nested mode via the Laguerre numerical integration technique, avoiding the calculation of complex functions. The proposed formulation can be efficiently applied to practical wireless applications with arbitrary statistical characteristics for the modelling parameters, in both the case of an interference-limited environment (no minimum power constraint) and the existence of a minimum power constraint. Comments, comparison with other existing techniques and useful curves are also presented.
Keywords
Rician channels; cochannel interference; integration; microcellular radio; picocellular radio; probability; quality of service; radio networks; statistical analysis; Laguerre numerical integration; Nakagami model; QoS; Rice model; cellular mobile communications systems; co-channel interference; complex functions; grade of service; interference-limited environment; micro-cellular networks; minimum power constraint; mobile radio environments; modelling parameters; outage analysis; outage performance evaluation; outage probability analysis; pico-cellular networks; quality of service; spectrum efficiency; statistical characteristics;
fLanguage
English
Journal_Title
Communications, IEE Proceedings-
Publisher
iet
ISSN
1350-2425
Type
jour
DOI
10.1049/ip-com:20020113
Filename
1013316
Link To Document