TY - JOUR
T1 - Smart-antenna systems for mobile communication networks. Part 1
T2 - Overview and antenna design
AU - Bellofiore, Salvatore
AU - Balanis, Constantine
AU - Foutz, Jeffrey
AU - Spanias, Andreas
N1 - Funding Information:
Raleigh-fading environment. Similarly, NTT DoCoMo, in Japan [4], tested a smart antenna for a 3G UMTS [Universal Mobile Telecommunications System] W-CDMA [wideband code-division multiple access] network, and preliminary results showed a substantial improvement in average BER [bit error rate]. Other projects, with similar findings, include the TSUNAMI project, sponsored by the European Commission [7], and private industry efforts by the SPOTLIGHT Metawave Company and ArrayComm [8,91.
Funding Information:
This work was supported by the National Science Foundation under the Wireless Initiative, Grant No. 9979403.
PY - 2002/6
Y1 - 2002/6
N2 - This paper is in two parts because of its length. It focuses on the interaction and integration of several critical components of a mobile communication network using smart-antenna systems. This wireless network is composed of communicating nodes that are mobile, and its topology is continuously changing. One of the central motivations for this work comes from the observed dependence of the overall network throughput on the design of the adaptive antenna system and its underlying signal processing algorithms. Part 1 of this two-part paper gives a brief overview of smart-antenna systems, including the different types of smart-antenna systems, and the reason for their having gained popularity. Moreover, details of typical antenna array designs suitable for the wireless communication devices are included in this part. Part 2 of this paper discusses the direction-of-arrival and adaptive beamforming algorithms. Furthermore, Part 2 includes a study of the overall efficiency of the network throughput in terms of the antenna pattern and the length of the training sequence used by the beamforming algorithms.
AB - This paper is in two parts because of its length. It focuses on the interaction and integration of several critical components of a mobile communication network using smart-antenna systems. This wireless network is composed of communicating nodes that are mobile, and its topology is continuously changing. One of the central motivations for this work comes from the observed dependence of the overall network throughput on the design of the adaptive antenna system and its underlying signal processing algorithms. Part 1 of this two-part paper gives a brief overview of smart-antenna systems, including the different types of smart-antenna systems, and the reason for their having gained popularity. Moreover, details of typical antenna array designs suitable for the wireless communication devices are included in this part. Part 2 of this paper discusses the direction-of-arrival and adaptive beamforming algorithms. Furthermore, Part 2 includes a study of the overall efficiency of the network throughput in terms of the antenna pattern and the length of the training sequence used by the beamforming algorithms.
KW - Adaptive arrays
KW - Antenna array mutual coupling
KW - Array signal processing
KW - Direction of arrival estimation
KW - Land mobile radio cellular systems
KW - Land mobile radio data communications
KW - Land mobile radio equipment
KW - Mobile communication
KW - Smart antennas
KW - Spatial division multiple access
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U2 - 10.1109/MAP.2002.1039395
DO - 10.1109/MAP.2002.1039395
M3 - Article
AN - SCOPUS:0036592432
SN - 1045-9243
VL - 44
SP - 145
EP - 154
JO - IEEE Antennas and Propagation Magazine
JF - IEEE Antennas and Propagation Magazine
IS - 3
ER -