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
  • Wireless Communications
  • Resource Management
  • Wideband CDMA
  • Smart Antenna
  • Simulation
Date of Defense 2001-11-12
Availability unrestricted
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.

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