Performance analysis of radio resource allocation in Mimo LTE systems.

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dc.contributor.authorMbale, Tozgani Fainess
dc.date.accessioned2023-07-05T10:52:13Z
dc.date.available2023-07-05T10:52:13Z
dc.date.issued2021
dc.descriptionThesisen
dc.description.abstractThis dissertation investigates the effect of spectral efficiency as the number of service antennas and number of users in Multiple-input Multiple-output (MIMO) Long Term Evolution (LTE) network increases. The channel estimators studied namely Zero Forcing (ZF), Minimum Mean Square Error (MMSE) and Maximal Ratio Combining (MRC) all show an increase in spectral efficiency and energy efficiency as the number of service antennas and the number of users increase respectively. LTE is an evolution upgrade of 3G systems which makes use of MIMO antennas. LTE network delivers large data rates, provides voice, data and video calls at high speeds. MIMO has attracted much attention both in industry and academia due to its high data rate, high-spectrum efficiency and has shown the ability to increase data rate and improve reliability. Working with a 2X2 MIMO antenna or more in LTE can increase wireless channel capacity without the need for additional power or spectrum but also does not always equal better performance of the system in scattering environments. This dissertation focuses on network performance by explaining the behaviour of channel estimators in Multiple Input Multiple Output (MIMO) Long Term Evolution (LTE) systems. Analytical and simulation results in this dissertation show that the increase in the number of antennas and users improves the spectral efficiency and that MMSE shows superior performance than ZF and MRC under similar conditions. MMSE is 9 bits/Hz/cell more than MR for 65 service antennas and 113 bits/Hz/cell for 37 users. Despite all the efforts to make this better, there has been a persistent challenge in spectral efficiency and energy efficiency in LTE systems. The results on the other hand show that MMSE performed better than ZF and MRC below 5bits/Hz/cell. At 18bits/Hz/cell ZF has the highest EE to SE ratio of approximately 8.The substantial performance gain by the MMSE is due to effective interference and error reduction, which is consistent with the fundamental property of MMSE. . The substantial performance gain by the MMSE is due to the effective interference and error reduction, which is consistent with the fundamental property of MMSE. Keywords: Spectral energy distribution, LTE, Spectral Efficiency, Energy Efficiency, Zero Forcing (ZF), Minimum Mean Square Error (MMSE), Maximal Ratio Combining (MRC)en
dc.identifier.urihttp://dspace.unza.zm/handle/123456789/8019
dc.language.isoenen
dc.publisherThe University of Zambiaen
dc.subjectComputer networks.en
dc.subjectSpectral energy distribution.en
dc.subjectSpectral efficiency.en
dc.subjectMaximal ratio combining.en
dc.subjectSpectral line broadening.en
dc.titlePerformance analysis of radio resource allocation in Mimo LTE systems.en
dc.typeThesisen
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