Title :
Capacity Estimation of Peer-to-Peer Networks based on a Flow Deviation Approach
Author :
Tan, Michael ; Acampora, Anthony
Author_Institution :
Univ. of California, San Diego
Abstract :
We consider a wireless network with n peer-to-peer nodes that are randomly distributed over some service area. Given the traffic and channel gain matrix, we use the flow deviation (FD) method to find an upper bound on the achievable capacity of the network, assuming no interference. In addition, we show that the achievable capacity without interference is lower- bounded by 2/3 of the upper bound in special cases and 1/3 of the upper bound in the worst case.
Keywords :
channel capacity; channel estimation; matrix algebra; peer-to-peer computing; radio networks; telecommunication traffic; capacity estimation; channel gain matrix; flow deviation approach; peer-to-peer networks; wireless network; Additive white noise; Background noise; Gaussian noise; Interference; Peer to peer computing; Telecommunication traffic; Throughput; USA Councils; Upper bound; Wireless networks;
Conference_Titel :
Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on
Conference_Location :
Athens
Print_ISBN :
978-1-4244-1144-3
Electronic_ISBN :
978-1-4244-1144-3
DOI :
10.1109/PIMRC.2007.4394306
