Analyses of UWB-IR in statistical models for MIMO optimal designs

Research output: A Conference proceeding or a Chapter in BookChapter

Abstract

The third generation partnership projects spatial channel model has been attracting great and wider interests from the researchers for a stochastic channel model for MIMO systems and multi-antenna-based multi-input multi-output (MIMO) communications as they 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, 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 the 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.
Original languageEnglish
Title of host publicationLecture notes in electrical engineering: intelligent automation and computer engineering
EditorsXu Huang, Sio-Iong Ao, Oscar Castillo
Place of PublicationDordrecht, London
PublisherSpringer
Pages291-306
Number of pages16
Edition1
ISBN (Print)9789048135165
DOIs
Publication statusPublished - 2010

Publication series

NameLecture Notes in Electrical Engineering
PublisherSpringer
Volume52
ISSN (Print)1876-1119

Fingerprint

Radio systems
Communication
Wimax
Poisson distribution
Wi-Fi
Multipath fading
Channel estimation
Transceivers
Fading channels
Throughput
Antennas
Bandwidth
Statistical Models
Optimal design

Cite this

Huang, X., & Sharma, D. (2010). Analyses of UWB-IR in statistical models for MIMO optimal designs. In X. Huang, S-I. Ao, & O. Castillo (Eds.), Lecture notes in electrical engineering: intelligent automation and computer engineering (1 ed., pp. 291-306). (Lecture Notes in Electrical Engineering; Vol. 52). Dordrecht, London: Springer. https://doi.org/10.1007/978-90-481-3517-2_23
Huang, Xu ; Sharma, Dharmendra. / Analyses of UWB-IR in statistical models for MIMO optimal designs. Lecture notes in electrical engineering: intelligent automation and computer engineering. editor / Xu Huang ; Sio-Iong Ao ; Oscar Castillo. 1. ed. Dordrecht, London : Springer, 2010. pp. 291-306 (Lecture Notes in Electrical Engineering).
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Huang, X & Sharma, D 2010, Analyses of UWB-IR in statistical models for MIMO optimal designs. in X Huang, S-I Ao & O Castillo (eds), Lecture notes in electrical engineering: intelligent automation and computer engineering. 1 edn, Lecture Notes in Electrical Engineering, vol. 52, Springer, Dordrecht, London, pp. 291-306. https://doi.org/10.1007/978-90-481-3517-2_23

Analyses of UWB-IR in statistical models for MIMO optimal designs. / Huang, Xu; Sharma, Dharmendra.

Lecture notes in electrical engineering: intelligent automation and computer engineering. ed. / Xu Huang; Sio-Iong Ao; Oscar Castillo. 1. ed. Dordrecht, London : Springer, 2010. p. 291-306 (Lecture Notes in Electrical Engineering; Vol. 52).

Research output: A Conference proceeding or a Chapter in BookChapter

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Huang X, Sharma D. Analyses of UWB-IR in statistical models for MIMO optimal designs. In Huang X, Ao S-I, Castillo O, editors, Lecture notes in electrical engineering: intelligent automation and computer engineering. 1 ed. Dordrecht, London: Springer. 2010. p. 291-306. (Lecture Notes in Electrical Engineering). https://doi.org/10.1007/978-90-481-3517-2_23