scholarly journals Research of Optimization Algorithms used in MIMO-OFDM Systems

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1707-1712
Keyword(s):  
Optimization Algorithms ◽  
Pso Algorithm ◽  
Least Square ◽  
Advanced Technology ◽  
Ofdm Systems ◽  
Matlab Simulation ◽  
Broadband Wireless ◽  
Mimo Ofdm ◽  
Narrowband Channels ◽  
Optimum Solution

Orthogonal Frequency Diνision Multiplexing (OFDM) technology is used to split large amount of data into several parallel narrowband channels with different frequencies orthogonally such that interference is reduced. Multiple Input M𝒖ltiple Output (MIMO) technology uses diversity ƫechnique such that capɑcity of the system and data throughput can be improved. Thereby combining both the technologies as MIMOOFDM achieves great spectral efficiency and it is the most advanced technology in broadband wireless communication. Ƭhe channel estimation techniques like Leaşt Square Estimation (LSE) algorithm is used to estimate the channel and the performancе of MIMO-OFDM system is еvaluated on the basis of Bit Error Ratе (BER) and MеanSquarе Error (MSE) by using MATLAB simulation. Further enhancement can be achieved by applying optimization algorithms, in this paper to find the optimum solution Partic1e Swɑrm Optimization Algorithm (PSO) is uti1ized when the pilots are placed randomly. Simulation outcome show that PSO algorithm outperforms the LSE when random pilots are used for MIMO-OFDM systems.

Single-block differential transmit scheme for broadband wireless MIMO-OFDM systems

2006 ◽  
Vol 54 (9) ◽  
pp. 3305-3314 ◽  
Author(s):  
T. Himsoon ◽  
Weifeng Su ◽  
K.J. Ray Liu
Keyword(s):  
Ofdm Systems ◽  
Broadband Wireless ◽  
Mimo Ofdm ◽  
Single Block

scholarly journals SBL Kalman Filter Based Hybrid Precoder/ Combiner for mmWave MIMO Systems: A Frequency Domain Approach

2021 ◽  
Author(s):  
Shoukath Ali k ◽  
Sampath Palaniswami
Keyword(s):  
Kalman Filter ◽  
Frequency Domain ◽  
Orthogonal Frequency Division Multiplexing ◽  
Mimo Systems ◽  
Least Square ◽  
Ofdm Systems ◽  
Millimetre Wave ◽  
Minimum Number ◽  
Mimo Ofdm ◽  
Frequency Domain Approach

Abstract The optimal design of hybrid precoder/ combiner for Millimetre Wave (mmWave) Multiple Input and Multiple Output Orthogonal Frequency Division Multiplexing (MIMO-OFDM ) system is developed presented. In the frequency domain approach, Sparse Bayesian Learning - Kalman Filter (SBL-KF) algorithm is used to design the optimal hybrid precoder/ combiner in mmWave MIMO OFDM systems. Sparse signal recovery problem for Single Measurement Vector (SMV) is discussed, that is close to the design of ideal digital baseband precoder by maximizing the mutual information from the hybrid precoder. SBL-KF scheme select the minimum number of active Radio Frequency (RF) chains based on the hyper parameter estimator. The minimum number of RF chain is approximate the ideal digital precoder / combiner design. Proposed SBL-KF scheme achieve low power consumption and enhanced spectral efficiency, when compared to the SBL, Orthogonal Matching Pursuit (OMP), Simultaneous OMP (SOMP) and Least Square schemes, which activate a fixed data streams and fixed number of RF chains.

scholarly journals Optimization for Interference Cancellation in MIMO-OFDM System using Modified Bat Algorithm (MBA)

2019 ◽  
Vol 8 (4) ◽  
pp. 24-31
Keyword(s):  
Interference Cancellation ◽  
Communication Systems ◽  
Orthogonal Frequency Division Multiplexing ◽  
Bat Algorithm ◽  
Ofdm Systems ◽  
Broadband Wireless ◽  
Multiple Input ◽  
Mimo Ofdm ◽  
Signal Channel ◽  
Modified Bat Algorithm

The intervention has to be negated deprived of humiliation of the spectral effectiveness In broadband wireless communication systems. The intrusive overthrow of the parallel OFDM systems are called as MIMO-OFDM (Multiple Input Output Orthogonal Frequency Division Multiplexing) is brought together in our projected effort. The representation of AWGN within the signal channel and improved by the value of MSE minimum factor is chosen. Thus, the optimization is prepared for the operation of the MBA (Modified Bat Algorithm). Our proposed concepts with its results are evaluated in the platform of MATLAB.

Efficient technique for PAPR and BER Reduction in Downlink Large Scale MU-MIMO-OFDM System

2020 ◽  
Vol 10 ◽  
Author(s):  
Jagtar Singh ◽  
Deepak Kedia
Keyword(s):  
Large Scale ◽  
Mimo System ◽  
Ofdm Systems ◽  
Matlab Simulation ◽  
Ofdm System ◽  
Significant Extent ◽  
Modulation Techniques ◽  
Mimo Ofdm ◽  
Subcarrier Mapping ◽  
Simulation Results

Background & Objective:: Background & Objective: Result:: In this work, we propose to perform jointly multiuser MMSE precoding, SC-IFDMA and antenna reservation technique to reduce the PAPR and bit error rate (BER) of the large MU-MIMO system. To show the effectiveness of the proposed scheme in the reduction of PAPR with different modulation techniques, subcarriers, and subcarrier mapping schemes the results are compared with the existing OFDM based large MU-MIMO system. Conclusion:: The MATLAB simulation results confirm that our proposed combination of MMSE MU-precoding, SC-IFDMA and antenna reservation technique is able to reduce PAPR and BER to a significant extent for LS-MU-MIMO-OFDM systems.

scholarly journals PAPR Reduction Performance by Active Constellation Extension for Diversity MIMO-OFDM Systems

2010 ◽  
Vol 2010 ◽  
pp. 1-5 ◽  
Author(s):  
Theodoros Tsiligkaridis ◽  
Douglas L. Jones
Keyword(s):  
Average Power ◽  
Block Code ◽  
Papr Reduction ◽  
Ofdm Systems ◽  
Broadband Wireless ◽  
Communication Architecture ◽  
High Data ◽  
Data Rates ◽  
Mimo Ofdm ◽  
Systems Simulation

The V-BLAST wireless communication architecture, space-time block code (STBC), and space-frequency block code (SFBC) techniques are strong candidates for achieving very high data rates in 4G broadband wireless communications. This paper extends the efficient Active Constellation Extension Smart Gradient-Project (ACE-SGP) peak-to-average power (PAPR) reduction method to STBC, SFBC, and V-BLAST systems. Simulation results show 4.19 and 3.57 dB of PAPR reduction for the Alamouti STBC and SFBC, respectively.

MMSE Space-Time Multi-User Detection in OFDM Systems Based on a Variety of Modulation

2013 ◽  
Vol 401-403 ◽  
pp. 1908-1911
Author(s):  
Meng Qi ◽  
Xin Xin Wang
Keyword(s):  
Interference Cancellation ◽  
Minimum Mean Square Error ◽  
Multiple Access Interference ◽  
Detection Algorithm ◽  
Ofdm Systems ◽  
Ofdm System ◽  
Broadband Wireless ◽  
Mimo Ofdm ◽  
Receiver Performance ◽  
Mapping Point

MIMO-OFDM is considered as candidates for future 3G/B3G broadband wireless services. High quality mobile services have to eliminate multiple-access interference (MAI) that affects multi-user receiver performance in MIMO-OFDM system. In this paper, we analyze the effect of MAI on MIMO-OFDM system and adapt a successive interference cancellation (SIC) multi-user detection algorithm which based on minimum mean square error (MMSE) algorithm for MIMO-OFDM system. This algorithm by optimizing the sorting structure enables the receiver algorithm has better performance. The simulation results show that the algorithm can obtain rate is better than the conventional linear MMSE algorithm performance in the error, and constellation mapping point spacing also affect the detection performance. As the spacing is reducing, the bit error probability will rise.

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