Title :
Improving the performance of the FPBA algorithm using random transmitter power levels
Author :
Habaebi, M.H. ; Ali, B.M.
Author_Institution :
Dept. of Comput. & Commun. Eng., Univ. Putra Malaysia, Selangor, Malaysia
fDate :
8/1/2001 12:00:00 AM
Abstract :
To enhance the throughput of the framed pseudo-Bayesian ALOHA (FPBA) algorithm used for reservation in wireless ATM, a scheme is described in which multiple power levels are used at the transmitters. One of the simultaneously sent packets can often be successfully received due to the power capture effect. The authors consider a capture model in which the transmitter captures the channel only if its signal-to-interference ratio is above some threshold when received at the central station. Rayleigh fading, shadowing and path loss all contribute to the capture effect in conjunction with the new physically induced random transmission power levels. Throughput equations of the algorithm are derived and the performance of the algorithm waiting time and throughput in the presence of the wireless channel is illustrated. Results show significant improvement in the throughput and low stable access delay for a wide range of traffic conditions
Keywords :
Bayes methods; Rayleigh channels; access protocols; asynchronous transfer mode; delays; multi-access systems; multiuser channels; packet radio networks; probability; radio transmitters; radiofrequency interference; random processes; telecommunication traffic; FPBA algorithm; Rayleigh fading; algorithm waiting time; capture model; central station; framed pseudo-Bayesian ALOHA algorithm; low stable access delay; multiple access protocol; multiple power levels; packet transmission; path loss; performance; power capture effect; random access reservation; random transmission power levels; random transmitter power levels; shadowing; signal-to-interference ratio; throughput equations; traffic conditions; transmitters; wireless ATM; wireless channel;
Journal_Title :
Communications, IEE Proceedings-
DOI :
10.1049/ip-com:20010360