Title page for ETD etd-01102002-170524

Type of Document

Master's Thesis

Author

Lei, Yu

URN

etd-01102002-170524

Title

Resource Management with Smart Antenna in CDMA Systems

Degree

Master of Science

Department

Electrical and Computer Engineering

Advisory Committee

Advisor Name	Title
Annamalai, Annamalai Jr.	Committee Chair
DaSilva, Luiz A.	Committee Member
Mili, Lamine M.	Committee Member

Keywords

Wireless Communications
Resource Management
Wideband CDMA
Smart Antenna
Simulation

Date of Defense

2001-11-12

Availability

unrestricted

Abstract

Third generation (3G) mobile communication systems will provide services
supporting high-speed data network and multimedia applications in addition to voice
applications. The Smart antenna technique is one of the leading technologies that helps to
meet the requirement by such services to radio network capacity. Resource management
schemes such as power control, handoff and channel reservation/assignment are also
essential for providing the seamless services with high quality. Smart antenna techniques
will help to enhance the capability of resource management through more efficient and
flexible use of resources. In this thesis, adaptive array and switched beam antenna
techniques are compared in terms of algorithm, performance, complexity and hardware
requirements. Based on these comparisons, sub-optimal code gate algorithm are most
likely the suitable algorithms for next generation code division multiple access (CDMA)
systems due to its good performances, robustness, and low complexity. A multi-cell
CDMA simulator is developed for investigating the gain from smart antenna techniques
in both bit error rate (BER) performance improvement and enhancement to resource
management schemes. Our study shows that smart antenna techniques can significantly
improve the performance of the system and help to build more powerful and flexible
resource management schemes. With eight array elements, the system capacity can be
increased by a factor of four. Power control command rates can be reduced through the
tradeoff with the interference reduction by smart antennas. Smart antennas will also
reduce handover failure rates and further increase the system capacity by reducing the
resources reserved for soft handover.

Files

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