Enhanced multi-cell coordination in wireless communication system using beamforming methods

A novel CoMP architecture design was proposed via the innovative division of an LTE cell into three spatial regions. The proposed technique is called Hybrid Cell Downlink Optimization (HCDO). This technique focuses on increasing the throughput and the capacity over the cell area. Moreover, the HCDO...

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Format:	Thesis
Language:	English
Subjects:	Wireless communication systems Beamforming Hybrid Cell Downlink Optimization (HCDO)
Online Access:	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72340/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72340/2/Full%20text.pdf
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id	my-unimap-72340
record_format	uketd_dc
spelling	my-unimap-723402021-10-08T01:43:58Z Enhanced multi-cell coordination in wireless communication system using beamforming methods Md. Mijanur, Rahman, Dr. A novel CoMP architecture design was proposed via the innovative division of an LTE cell into three spatial regions. The proposed technique is called Hybrid Cell Downlink Optimization (HCDO). This technique focuses on increasing the throughput and the capacity over the cell area. Moreover, the HCDO technique focuses on increasing the deployment coverage area based on the presence of transmission power while reducing the backhaul signaling overhead using the beamforming algorithm. The Minimum Variance Distortionless Response (MVDR) beamformer is the best known beamforming algorithm. Unfortunately, MVDR is very sensitive to steering vector errors, and in the event it occurs, the desired signal could be suppressed. Thus, two beamforming methods were proposed in this thesis for the purpose of modifying and enhancing the performance of the current MVDR beamforming algorithm. These proposed methods, namely, Modified MVDR (MMVDR) and Sub-Space Interference Cancelation MVDR (SSIC-MVDR), focus on increasing the rigidity of MVDR against steering vector errors caused by calibration or manufacturing errors. The performance evaluations, comparisons, and analysis showed that the MMVDR and SSIC-MVDR algorithms are less complex methods, which reduces the cost (number of antennas) by more than 61.5 % and reduce the processing time by reducing the number of snapshots to 99%. Also, the results showed that the incorporation of SSIC-MVDR into HCDO technique improved the transmission signal quality, where the average cell users’ signal modulated with QAM scheme, and improved the cell sector throughput by 136.99%. Moreover, the signaling overhead and response latency were reduced, since the CoMP base station became capable of generating the beamforming weight without help from CU. Universiti Malaysia Perlis (UniMAP) Thesis en http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72340 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72340/3/license.txt 8a4605be74aa9ea9d79846c1fba20a33 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72340/1/Page%201-24.pdf e0d41841aa2fd02dc026a58b5ea75640 http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72340/2/Full%20text.pdf 415213fc08e04b0be5fc56f55deaab54 Universiti Malaysia Perlis (UniMAP) Wireless communication systems Beamforming Hybrid Cell Downlink Optimization (HCDO) School of Computer and Communication Engineering
institution	Universiti Malaysia Perlis
collection	UniMAP Institutional Repository
language	English
advisor	Md. Mijanur, Rahman, Dr.
topic	Wireless communication systems Beamforming Hybrid Cell Downlink Optimization (HCDO)
spellingShingle	Wireless communication systems Beamforming Hybrid Cell Downlink Optimization (HCDO) Enhanced multi-cell coordination in wireless communication system using beamforming methods
description	A novel CoMP architecture design was proposed via the innovative division of an LTE cell into three spatial regions. The proposed technique is called Hybrid Cell Downlink Optimization (HCDO). This technique focuses on increasing the throughput and the capacity over the cell area. Moreover, the HCDO technique focuses on increasing the deployment coverage area based on the presence of transmission power while reducing the backhaul signaling overhead using the beamforming algorithm. The Minimum Variance Distortionless Response (MVDR) beamformer is the best known beamforming algorithm. Unfortunately, MVDR is very sensitive to steering vector errors, and in the event it occurs, the desired signal could be suppressed. Thus, two beamforming methods were proposed in this thesis for the purpose of modifying and enhancing the performance of the current MVDR beamforming algorithm. These proposed methods, namely, Modified MVDR (MMVDR) and Sub-Space Interference Cancelation MVDR (SSIC-MVDR), focus on increasing the rigidity of MVDR against steering vector errors caused by calibration or manufacturing errors. The performance evaluations, comparisons, and analysis showed that the MMVDR and SSIC-MVDR algorithms are less complex methods, which reduces the cost (number of antennas) by more than 61.5 % and reduce the processing time by reducing the number of snapshots to 99%. Also, the results showed that the incorporation of SSIC-MVDR into HCDO technique improved the transmission signal quality, where the average cell users’ signal modulated with QAM scheme, and improved the cell sector throughput by 136.99%. Moreover, the signaling overhead and response latency were reduced, since the CoMP base station became capable of generating the beamforming weight without help from CU.
format	Thesis
title	Enhanced multi-cell coordination in wireless communication system using beamforming methods
title_short	Enhanced multi-cell coordination in wireless communication system using beamforming methods
title_full	Enhanced multi-cell coordination in wireless communication system using beamforming methods
title_fullStr	Enhanced multi-cell coordination in wireless communication system using beamforming methods
title_full_unstemmed	Enhanced multi-cell coordination in wireless communication system using beamforming methods
title_sort	enhanced multi-cell coordination in wireless communication system using beamforming methods
granting_institution	Universiti Malaysia Perlis (UniMAP)
granting_department	School of Computer and Communication Engineering
url	http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72340/1/Page%201-24.pdf http://dspace.unimap.edu.my:80/xmlui/bitstream/123456789/72340/2/Full%20text.pdf
_version_	1747836865373798400

Enhanced multi-cell coordination in wireless communication system using beamforming methods

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