Conference Proceeding

Stable distribution based analysis of transmission capacities for overlaid wireless networks

Key Lab. of Universal Wireless Commun., Beijing Univ. of Posts & Telecommun., Beijing, China
12/2009; DOI:10.1109/WCSP.2009.5371626 pp.1 - 5 In proceeding of: Wireless Communications & Signal Processing, 2009. WCSP 2009. International Conference on
Source: IEEE Xplore

ABSTRACT We study the transmission capacities of two coexisting wireless networks (a primary network vs. a secondary network) that operate in the same geographic region and share the same spectrum, where the primary (PR) network has a higher priority to access the spectrum without particular considerations for the secondary (SR) network, and the SR network limits its interference to the PR network by carefully controlling the density of its transmitters. Considering a general deterministic power-law channel model with a path-loss exponent ¿ > 2 and a constant transmission power, by applying the stable distribution theory and asymptotic analysis, we derive the transmission capacities for both of the two networks and quantify their tradeoff. Numerical results show that if the PR network permits a small increase of its outage probability, the sum transmission capacity across the two networks (i.e., the overall spectrum efficiency per unit area) could be boosted significantly over that of a single network, which generalizes our previous results in over a special case with a path-loss exponent ¿ = 4. By further comparing with our earlier results in, we find that Rayleigh fading can enhance the transmission capacity gain of the overlaid networks over that of a stand-alone PR network.

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Keywords

coexisting wireless networks
 
constant transmission power
 
general deterministic power-law channel model
 
generalizes
 
geographic region
 
higher priority
 
Numerical results
 
overlaid networks
 
path-loss exponent ¿
 
PR network permits
 
primary network
 
small increase
 
special case
 
spectrum efficiency
 
SR network limits
 
stable distribution theory
 
sum transmission capacity
 
transmission capacities
 
transmission capacity gain
 
two networks