Home Project-material MODELING AND EVALUATION OF A SIMPLE ADAPTIVE ANTENNA ARRAY FOR A WCDMA MOBILE COMMUNICATION.

MODELING AND EVALUATION OF A SIMPLE ADAPTIVE ANTENNA ARRAY FOR A WCDMA MOBILE COMMUNICATION.

Dept: COMPUTER ENGINEERING File: Word(doc) Chapters: 1-5 Views: 5

Abstract

This thesis presents the uniform Linear Array model of a simple adaptive antenna array based on signal-to-interference plus noise ratio (SINR) maximization. The SINR was investigated for a conventional narrow band beam former by varying the number of antenna array elements and number of interfering signals or users. The results were compared with that of omni-directional antenna. The graph obtained showed significant improvement in SINR as the number of antenna elements increases in the presence of large interferers for odd numbered array.
1.1 Background

Smart antennas have emerged as one of the leading innovations for

achieving highly efficient networks that maximize capacity and

improve quality and coverage. Smart antennas provide greater

capacity and performance benefits than conventional antennas

because they can be used to customize and fine-tune antenna

coverage pattern to the changing traffic or radio frequency (RF)

conditions in a wireless communication system like the WCDMA

network.

Beam forming (BF) which is a key technology in smart

antenna system is a process in which each user’s signals is

multiplied by complex weight vectors that adjust the magnitude

and phase of the signal from each antenna element [1]. A beam

forming appropriately combines the signals received by different

elements of an antenna array to form a single output. Many

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adaptive algorithms have been developed to determine the optimal

weight vectors of array antenna elements dynamically, based on

different performance criteria. The weight vectors produce the

desired radiation pattern that can be changed dynamically, by

considering the position of users and interferers to optimize the

signal-to-interference and noise ratio (SINR).

1.2 Problem statement

The mobile radio propagation environment places fundamental

limitations on the performance of wireless communication systems.

Signals arrive at a receiver (usually the base station, BS) via a

scattering mechanism and the existence of multipath with different

time delays; attenuations and phases give rise to a highly complex,

time-varying transmission channel. The radio channel in a wireless

communication system is often characterized by multipath

propagation [3]. A fading signal results from interference between

multipath components at the receiver.

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The conventional antenna systems; the omni-directional

antenna and the sectorized systems cannot overcome these

limitations. Omni-directional antenna radiates and receives equally

in all directions. This will result in wastage of power as antenna

patterns are radiated in the direction of undesired users. While

sectorized antenna systems multiply the use of channels which

results in many handoffs between sectors [4], they do not overcome

the major limitations of omni-directional antennas such as filtering

of unwanted signals from adjacent cells. Therefore, the need for an

antenna system that will minimize or overcome these limitations

arises.

1.7 Objective of the work

The specific objectives of this thesis are:

1. Modeling and evaluation of a simple adaptive antenna

array that can form part of a WCDMA BS structure for

improving link capacity.

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2. To investigate the interference and noise reduction

capabilities of an adaptive antenna array.

3. Comparative analysis of omni-directional antenna and

adaptive antenna array based on SINR maximization.

1.8 Justification

There is an ever – increasing demand on mobile wireless operators

to provide voice and high speed data services. At the same time,

these operators want to support more users per BS to reduce overall

network cost and make services available to subscribers.

Unfortunately, because the available broadcast spectrum is limited,

attempts to increase traffic within a fixed bandwidth create more

interference in the system and degrade the signal quality. To

overcome this problem, adaptive antenna array is proposed for BS

transceivers. This work will encourage mobile wireless operators in

Nigeria to consider the option of adopting adaptive antennas at BSs

due to its numerous benefits.

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It will also be useful to scholars who have interest in this area of

study.

1.9 Scope of the work

This work will look at adaptive filtering technique which is the

principle of an adaptive antenna array. A cell model deploying

adaptive antenna array at BS was proposed and a mathematical

model for received signal at the antenna array derived based on

uniform linear array model. The SINR of an adaptive antenna array

was investigated for different antenna arrays for a conventional

narrow band beam former using fixed angles of arrival considering

different scenarios. Real time measurement was carried out at a test

bed to obtain the signal strength and distance of mobile users from

BS used in the evaluation of pathloss model described in chapter

two for a typical WCDMA carrier deploying sectorized antenna at

base station. The angles of arrivals (AOA) obtained from same

measurement are also useful in the evaluation of SINR for adaptive

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antenna. Channel model was considered as Rayleigh flat fading and

antenna noise as additive white Gaussian (AWGN). The simulations

are done in Matlab environment.

1.5 Thesis organization

This thesis is organized into five chapters. Chapter one deals with

the introduction to the research work which includes research

background, research objectives, justification and scope of the work.

In chapter two, past related works were reviewed; evolution,

principles and technologies of smart antenna were explained.

Channel model and the CDMA system model were illustrated.

Adaptive filtering was discussed also as the basis of beam forming.

Chapter three contains methods adopted in the research. Cell

model and signal model for an adaptive antenna array deployed at

BS were provided. The array factor and array response vector at

each element of the array were derived.

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Chapter four deals with system analysis. Here, the SINR was

investigated for different antenna arrays at d=0.5? and 0.75? by

varying the number of array elements and the number of interfering

signals for a fixed weight beam former. The comparative analysis of

omni-direction antenna and adaptive antenna was done in this

chapter.

Chapter 5 is Summary and conclusion. It contains summary of

achievements, problems encountered and solutions,

recommendations and suggestion for future research and

conclusion.


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