IEEE Transactions on Information Theory · 2007 · 44 citations · 11 references
EngineeringElectrical EngineeringMathematicsInformation TheoryProbability TheoryWireless CommunicationsChannel CapacityCommunication NetworksNetwork Information TheoryWireless Channel ModelingWireless NetworksCapacity ScalingFadingFading Channel CapacityLower BoundsNetwork CapacityPath LossSmall-scale FadingUpper Bounds
The capacity scaling of extended two-dimensional wireless networks is known in the high-attenuation regime, i.e., when the power path loss exponent alpha is greater than 4. This has been accomplished by deriving information-theoretic upper bounds for this regime that match the corresponding lower bounds. On the contrary, not much is known in the so-called low-attenuation regime when 2lesalphales4. (For one-dimensional networks, the uncharacterized regime is 1lesalphales2.5.) The dichotomy is due to the fact that while communication is highly power-limited in the first case and power-based arguments suffice to get tight upper bounds, the study of the low-attenuation regime requires a more precise analysis of the degrees of freedom involved. In this paper, we study the capacity scaling of extended wireless networks with an emphasis on the low-attenuation regime and show that in the absence of small scale fading, the low attenuation regime does not behave significantly different from the high attenuation regime.
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Handbook of Mathematical Functions
Donald A. McQuarrie · American Journal of Physics · 1966 · 40.9K citations
The capacity of wireless networks
Piyush Gupta, P. R. Kumar · IEEE Transactions on Information Theory · 2000 · 8.4K citations
K. S. Kölbig, F. Schäff · Mathematics of Computation · 1972 · 2.1K citations · Full text