Title :
Degradation of MIMO UWB-IR Transceiver in Poisson Models
Author_Institution :
Fac. of Inf. Sci. & Eng., Univ. of Canberra, Canberra, ACT, Australia
Abstract :
Multi-antenna-based multi-input multi-output (MIMO) communications become the next revolution in wireless data communications. MIMO has gone through the adoption curve for commercial wireless systems to the today\´s situation, all high throughput commercial standards, i.e. WiMax, Wi-Fi, cellular, etc., have adopted MIMO as part of the optional. This paper is to present our investigations of the behaviors of the MIMO ultra-wide-band-impulse radio (UWB-IR) systems with statistic models, which will contribute to optimal designs for the low-power high-speed data communication over unlicensed bandwidth spanning several GHz, such as IEEE 802.15 families. We have developed and analyzed three no coherent transceiver models without requiring any channel estimation procedure. The massive simulations are made based on our established models. Our investigations show that the Poisson distribution of the path arriving will affect the signal-noise ratio (SNR) and that for the Nakagami distributed multipath fading channel the "m" factor, together with receiver number, will impact on the SNR of the MIMO UWB-IR systems.
Keywords :
MIMO communication; Nakagami channels; multipath channels; personal area networks; radio data systems; stochastic processes; transceivers; ultra wideband communication; IEEE 802.15; MIMO UWB-IR transceiver degradation; Nakagami distributed multipath fading channel; Poisson model; SNR; low-power high-speed data communication; multiantenna; multiinput multioutput communication; receiver number; signal-noise ratio; statistic model; ultrawide-band-impulse radio; unlicensed bandwidth; wireless data communication; Bandwidth; Channel estimation; Data communication; Degradation; MIMO; Statistics; Throughput; Transceivers; WiMAX; Wireless communication; MIMO; Nakagami distribution; Poisson distribution; UWB-IR; Wi-Fi; WiMax;
Conference_Titel :
Computer and Information Science, 2009. ICIS 2009. Eighth IEEE/ACIS International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3641-5
DOI :
10.1109/ICIS.2009.121