Enhance radio resource allocation techniques for fractional frequency reuse base station in Mobile WiMAX cellular network
Broadband wireless connections have emerged as a solution to satisfy users’ demands for modern E-application, such as LTE and WiMAX. According to Ericsson’s official anticipations, the global mobile broadband subscriptions will reach 6.5 billion at the end of 2018. This orientation of the public t...
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| 格式: | Thesis |
| 语言: | English |
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| 在线阅读: | http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/59820/1/p.1-24..pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/59820/2/Full%20Text.pdf |
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| 总结: | Broadband wireless connections have emerged as a solution to satisfy users’ demands
for modern E-application, such as LTE and WiMAX. According to Ericsson’s official
anticipations, the global mobile broadband subscriptions will reach 6.5 billion at the end of 2018. This orientation of the public toward the wireless broadband internet services needs more attention in terms of adequate resources and bandwidth to meet users’ demands for modern E-services. WiMAX, for instance, is a promising technology to
deliver a high speed broadband internet connection for fixed and mobile users. The
IEEE 802.16e is a mobile version of WiMAX technology; it can be used in cellular
network deployment. However, the inter-cell interference in cellular networks is a major
problem which reduces the cell capacity and limits the service quality of cell edge users.
The Fractional Frequency Reuse (FFR) is a technique used by IEEE 802.16e WiMAX
base stations to enhance the signal quality of cell edge users. One of the drawbacks in
the FFR technique is inefficiency in resource utilization and bandwidth. In this research,
two novel FFRs algorithms called Static Resource Assignment (SRA) and Dynamic
Resource Assignment (DRA) for WiMAX base station deployment in cellular network
are developed. SRA provides a new and efficient FFR technique, which combines both
efficient utilization of resource and bandwidth. The available bandwidth is exploited,
which enables the deployment of the SRA FFR base station to achieve frequency reuse
of 1. To determine the system parameters that maximize SRA performance, four cases
are proposed: Case 1, Case 2, Case 3, and Case 4. In comparison with the existing FFR
technique, the simulation results indicate that SRA under Case 3 increases resource
utilization and the number of served users by 11.54% and 10.07% respectively, whilst
the data rate and spectral efficiency increase by 22.15% and 114.94% when Case 1 is
applied. The DRA algorithm is proposed to enhance the performance of the existing
FFR technique, whereby the variation in population density is taken into account. Two
types of users’ distribution (mobility) are employed to evaluate the benefits of DRA
called DRA-I and DRA-II. DRA-I and DRA-II enhance the performance of the existing
FFR technology in terms of: resource utilization by 19.23% and 25.65%, the number of
served users by 16.67% and 22.3% respectively, data rate by 19.63% and 40.14%, and
the spectral efficiency by 110.47% and 146.68%. The proposed SRA and DRA
algorithms improve the performance of the existing FFR technology in terms of
resource utilization, the number of served users, data rate, and spectral efficiency. |
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