ORCID Profile
0000-0002-3103-2940
Current Organisation
International Islamic University Malaysia
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Publisher: IEEE
Date: 05-2010
Publisher: IEEE
Date: 11-2016
Publisher: IEEE
Date: 22-06-2021
Publisher: IEEE
Date: 11-2012
Publisher: IOP Publishing
Date: 20-12-2013
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 06-2020
Publisher: IEEE
Date: 11-2012
Publisher: IEEE
Date: 12-2200
Publisher: IEEE
Date: 11-2013
Publisher: IEEE
Date: 11-2013
Publisher: IEEE
Date: 09-2018
Publisher: IEEE
Date: 11-2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2021
Publisher: Universitas Ahmad Dahlan
Date: 10-2021
Publisher: Science Alert
Date: 15-12-2012
Publisher: IEEE
Date: 09-11-2020
Publisher: IEEE
Date: 11-2009
Publisher: IEEE
Date: 11-2015
Publisher: IEEE
Date: 11-2016
Publisher: IEEE
Date: 07-2012
Publisher: Institute of Advanced Engineering and Science
Date: 09-2019
Abstract: Antenna array of large scale have been examined for different applications including 5G technology. To get better data rate or a reliable link substantial number of antenna arrays have been utilized to provide high multiplexing gains as well as array gains with high directivity. In this paper a simple but efficient implementation technique of using sub-arrays for the improvement of large-sized uniform arrays. By repeating a small sub-array multiple times large arrays can be designed. This implication of utilizing small array simplifies the design of a larger array which allows the designer to concentrate on the smaller sub-array before assembling larger arrays. So, by investigating the sub arrays the performance and radiation characteristics of large arrays can be anticipated. The array-factor for a planar sub-array of 2x2 (4 elements) is analyzed using Mat-lab software and then a large array is formed by placing the 2x2 sub-array indifferent configurations in a rectangular arrangements up to 8x8 planar array. And then the results are validated with CST (Computer simulation technology) simulation results.In this way the array-factors, directivities, HPBWs, and side lobes of the constructed large arrays are analyzed and associated with the small sub-array.
Publisher: IEEE
Date: 09-2012
Publisher: IEEE
Date: 08-2013
Publisher: IOP Publishing
Date: 20-12-2013
Publisher: IEEE
Date: 12-2021
Publisher: Universitas Ahmad Dahlan
Date: 12-2019
Publisher: IEEE
Date: 07-2012
Publisher: IEEE
Date: 22-06-2021
Publisher: IEEE
Date: 11-2014
Publisher: IEEE
Date: 09-2015
Publisher: IEEE
Date: 08-2013
Publisher: IEEE
Date: 11-2013
Publisher: IEEE
Date: 11-2015
Publisher: Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Date: 02-11-2019
DOI: 10.35940/IJRTE.B1588.0982S1119
Abstract: For future 5G wireless communication networks, millimeter-wave (mmWave) cellular systems is considered to be the key enabling technology because of its high data rates, low latency, high system capacity, and huge available bandwidths. However, multiuser networks in mmWave frequency bands encounter high path loss and interference, thus degrading the performance. Applying large antenna arrays at the base stations (BS) in order to achieve high beamforming gains with the help of precoding techniques is an efficient way of improving the performance of the system. Although multi-user beamforming can improve spectral efficiencies, full digital beamforming strategies used in the conventional microwave systems increase the hardware cost and consumes high power for large number of antennas in mmW systems. In this paper, a low-complexity multi-user hybrid precoding structure is proposed for mmWave multiple input multiple output (MIMO) channels utilizing Minimum Mean Square Error (MMSE) precoders at the BS with perfect channel knowledge. Simulations show that the achievable rate obtained by the proposed hybrid precoding scheme is very close to the single-user rate and also performs better compared to other hybrid precoding approaches.
Publisher: IEEE
Date: 12-2011
Publisher: Springer Berlin Heidelberg
Date: 2015
Publisher: IEEE
Date: 10-2008
Publisher: Maxwell Scientific Publication Corp.
Date: 05-07-2013
Publisher: IEEE
Date: 12-2017
Publisher: IEEE
Date: 12-2017
Publisher: Universitas Ahmad Dahlan
Date: 10-2019
Publisher: IEEE
Date: 11-2015
Publisher: IEEE
Date: 12-2012
Publisher: Wiley
Date: 17-01-2015
DOI: 10.1002/SAT.1071
Publisher: IEEE
Date: 10-2011
Publisher: Akademia Baru Publishing
Date: 25-01-2022
DOI: 10.37934/ARASET.26.1.2330
Abstract: The evolution of wireless communication technology has provided a viable important concept for the next-generation wireless mechanism. The Technology may provide a variety of services for different terminals, such as voice and multimedia data services through a mobile phone, as well as improved packet delivery across cellular networks. Fifth Generation (5G) New Radio (NR) is the most recent radio air interface designed for next-generation wireless communication networks to fulfill the increasing needs of connected devices. It is built to enable a variety of situations, including increased large machine-to-machine communications, mobile broadband, and ultra-reliable low-latency communications. The 5G NR signal is generated and analyzed using the various parameters in the waveform generator app in MATLAB. The downlink scenario is considered. The modulation used here for the generation of 5G signal is 16 QAM and 64 QAM modulation technique.
Publisher: IEEE
Date: 09-2018
Publisher: IEEE
Date: 09-2015
Publisher: IEEE
Date: 10-2009
Publisher: Springer Berlin Heidelberg
Date: 2015
Publisher: Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Date: 26-07-2019
DOI: 10.35940/IJITEE.F1238.0486S419
Abstract: In a communications system, a ersity technique is used to enhance the reliability of a message signal by using at least two channels with different characteristics. In this paper, all four possible scenarios are considered: Single-input and singleoutput (SISO), single input and multi-output (SIMO), multipleinput and single-output (MISO), Multiple-input and multiple output (MIMO) systems. Antenna arrays will be used to reduce BER and improve the performance of the system using array gain in the line of sight channel for 60 GHz frequency in an indoor scenario. Single input and single output are investigated before analysis of multiple inputs and multiple output channel in the line of sight (LOS) and multipath propagation. MATLAB simulation has been performed using BPSK modulation. The comparative studies show that the performance of the MIMO ersity technique is more reliable in terms of BER to improve the performance and efficiency of the communication system.
Publisher: Springer International Publishing
Date: 02-11-2015
Publisher: IEEE
Date: 10-2009
Publisher: IEEE
Date: 11-2014
Publisher: IEEE
Date: 05-2010
Publisher: Maxwell Scientific Publication Corp.
Date: 20-06-2015
Publisher: Praise Worthy Prize
Date: 31-10-2017
Publisher: Springer International Publishing
Date: 02-11-2015
Publisher: Maxwell Scientific Publication Corp.
Date: 27-02-2014
Publisher: IOP Publishing
Date: 20-12-2013
Publisher: IEEE
Date: 10-2015
Publisher: IEEE
Date: 11-2018
Publisher: IOP Publishing
Date: 11-2017
Publisher: IEEE
Date: 05-2010
Publisher: IEEE
Date: 07-2016
Publisher: MDPI AG
Date: 22-08-2022
DOI: 10.3390/ELECTRONICS11162626
Abstract: Utilizing antenna ersity techniques has become a well-known approach to improve the performance of wireless communication systems. Multiple antenna arrays with half-length spacing, such as a uniform linear array (ULA), have been taken into consideration. Since 60 GHz is an unlicensed frequency band and ideal for local propagation, it is where the technology is being used. The transmitter and receiver both accomplish QAM modulation and demodulation. The performance in terms of bit error rate (BER) was tested in MATLAB simulation software for all antenna ersity scenarios: the single input and single output (SISO) DWT, multiple input and single output (MISO) DWT, single input and multiple output (SIMO) DWT, and multiple input and multiple output (MIMO) DWT. The MIMO DWT was shown to be the best of them. The performance of MIMO OFDM using various wavelets was also simulated, and the performance of the Haar wavelet transform was 2 dB better than that of the other wavelet transform. Compared to simulation results, the analytical results showed good agreement with little discrepancy.
Publisher: Korean Society for Internet Information (KSII)
Date: 28-02-2014
Publisher: IEEE
Date: 03-2009
Publisher: IEEE
Date: 03-2009
Publisher: IEEE
Date: 11-2017
Publisher: IEEE
Date: 12-2016
Publisher: IEEE
Date: 09-2014
Publisher: IAES Indonesia Section
Date: 09-03-2021
Publisher: IEEE
Date: 08-2012
Publisher: IEEE
Date: 12-2007
Location: No location found
No related grants have been discovered for Khaizuran Abdullah.