DocumentCode
2121848
Title
Implementation Methodology of Adaptive Antenna in TD-SCDMA Simulation Platform
Author
Song, Weina ; Song, Tiecheng ; Xu, Bo
Author_Institution
Nat. Mobile Commun. Res. Lab., Southeast Univ., Nanjing, China
fYear
2009
fDate
24-26 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
Smart antenna technique is one of the most important techniques used in TD-SCDMA system. Setting up a methodology to implement smart antennas based on TD-SCDMA system level simulation platform is useful for analyzing the influences of smart antennas on the whole communication system. Generally speaking, smart antennas can be divided into two kinds, one is fixed multi-beam switching antenna and the other is adaptive antenna. This paper proposes a methodology to implement adaptive antenna in TD-SCDMA simulation platform by establishing the node model of Node B, raising the orientation methodology of the adaptive antenna array, and giving the detailed process of downlink beam forming implementations as well. Theoretically, statistics such as SNR (signal to noise ratio) at UE (user equipment) and throughput at Node B are larger for systems adopting adaptive antenna than isotropic antenna. Through running simulations and collecting statistics of SNR and throughput, the proposed methodology is verified to be feasible and appropriate.
Keywords
adaptive antenna arrays; code division multiple access; time division multiple access; TD-SCDMA simulation platform; adaptive antenna; adaptive antenna array; downlink beam forming implementations; fixed multi-beam switching antenna; isotropic antenna; signal-to-noise ratio; smart antenna technique; Adaptive arrays; Analytical models; Antenna arrays; Antenna theory; Communication switching; Communication systems; Signal to noise ratio; Statistics; Throughput; Time division synchronous code division multiple access;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3692-7
Electronic_ISBN
978-1-4244-3693-4
Type
conf
DOI
10.1109/WICOM.2009.5302858
Filename
5302858
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