DocumentCode :
573888
Title :
The asymptotic capacity of opportunistic scheduling over shadowed Nakagami fading channels
Author :
Al-Ahmadi, Saad
Author_Institution :
Dept. of Electr. Eng., King Fahd Univ. of Pet. & Miner., Dhahran, Saudi Arabia
fYear :
2012
fDate :
27-31 Aug. 2012
Firstpage :
907
Lastpage :
911
Abstract :
The performance analysis of different diversity schemes in emerging wireless communication systems such as outdoor distributed antenna architectures and relay networks requires the adoption of joint multipath fading and shadowing channel models. In this paper, extreme value theory is utilized to quantify the ergodic capacity of multiuser diversity (opportunistic scheduling) over shadowed Nakagami fading (gamma-gamma) channels. The distribution of the maximum extreme for a sequence of independent gamma-gamma random variables is shown to belong to the domain of attraction of the Gumbel distribution and subsequently the effect of independent shadowing on the ergodic capacity of opportunistic scheduling for large number of users is revealed.
Keywords :
Nakagami channels; channel capacity; diversity reception; multipath channels; scheduling; Gumbel distribution; asymptotic capacity; diversity schemes; emerging wireless communication systems; ergodic capacity; extreme value theory; gamma-gamma channels; independent gamma-gamma random variables; independent shadowing; joint multipath fading; multiuser diversity; opportunistic scheduling; outdoor distributed antenna architectures; relay networks; shadowed Nakagami fading channels; shadowing channel models; Antenna arrays; Fading; Limiting; Nakagami distribution; Shadow mapping; Wireless communication; Composite fading; Gumbel distribution; distributed antenna ports; ergodic capacity; gamma-gamma (generalized-K) model; shadowing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Mobile Computing Conference (IWCMC), 2012 8th International
Conference_Location :
Limassol
Print_ISBN :
978-1-4577-1378-1
Type :
conf
DOI :
10.1109/IWCMC.2012.6314325
Filename :
6314325
Link To Document :
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