Analysis of Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing with Dynamic Optimal Power Allocation
Received: 19 April 2024 | Revised: 17 May 2024 | Accepted: 193 May 2024 | Online: 2 August 2024
Corresponding author: Owk Srinivasulu
Abstract
Multiple Input Multiple Output (MIMO) is a technology that combines multiple antennas and Orthogonal Frequency Division Multiplexing (OFDM) modulation to increase the data rate and spectral efficiency of wireless communication systems. Equalization problems are one of the key issues with MIMO-OFDM systems, which are caused by multiple antennas and subcarriers. Optimal Power Allocation (OPA) in MIMO-OFDM is a critical component for achieving high spectral efficiency and improving the overall performance of the system. OPA refers to the process of allocating power to the different subcarriers and antennas in MIMO-OFDM systems in an optimal way. This study proposes the Dynamic OPA (DOPA) algorithm for MIMO-OFDM systems to dynamically adjust power allocation based on the changing channel conditions and reduce pilot contamination issues. This approach allocates more power to subcarriers and antennas with better channel conditions and less power to subcarriers and antennas with worse channel conditions. DOPA in MIMO-OFDM systems is necessary to maximize data rates, minimize interference, improve system capacity, and reduce power consumption. Simulation results showed that the proposed MIMO-OFDM-DOPA had reduced bit error rates, mean square error, and transmitter power and increased energy efficiency and capacity compared to existing state-of-the-art methods.
Keywords:
orthogonal frequency division multiplexing, multiple input multiple output, dynamic optimal power allocation, energy efficiency, transmit powerDownloads
References
A. Elsanousi and S. Oztürk, "Performance Analysis of OFDM and OFDM-MIMO Systems under Fading Channels," Engineering, Technology & Applied Science Research, vol. 8, no. 4, pp. 3249–3254, Aug. 2018.
Z. A. Shamsan, "Statistical Analysis of 5G Channel Propagation using MIMO and Massive MIMO Technologies," Engineering, Technology & Applied Science Research, vol. 11, no. 4, pp. 7417–7423, Aug. 2021.
S. Jothi and A. Chandrasekar, "An Efficient Modified Dragonfly Optimization Based MIMO-OFDM for Enhancing QoS in Wireless Multimedia Communication," Wireless Personal Communications, vol. 122, no. 2, pp. 1043–1065, Jan. 2022.
C. Panda and U. Bhanja, "Effect of Code and Frequency Index Modulation in MIMO-OFDM-FSO System," in Optical and Wireless Technologies proceedings of the 4th International Conference on Optical and Wireless Technologies (OWT 2020), Jaipur, India, Apr. 2020, pp. 89–95.
P. R. Kumar, P. V. Naganjaneyulu, and K. S. Prasad, "Partial transmit sequence to improve OFDM using BFO & PSO algorithm," International Journal of Wavelets, Multiresolution and Information Processing, vol. 18, no. 1, Jan. 2020, Art. no. 1941018.
S. E. El-Khamy, N. O. Korany, and H. Hassan, "A New Efficient Two-Sided Complementary Code Based Channel Estimation Technique 'TSCC-CE' for MIMO-OFDM Systems, Under the Effects of Partial-Band Jamming and Doppler Spread," IEEE Access, vol. 9, pp. 155153–155160, 2021.
Y. Chen, C. Clemente, and J. J. Soraghan, "Partial Fractional Fourier Transform (PFrFT)-MIMO-OFDM for Known Underwater Acoustic Communication Channels," Information, vol. 12, no. 11, Nov. 2021, Art. no. 469.
C. Reddy and V. Shete, "A Hybrid Linear-Quadratic Estimation (LQE) Technique for Channel Estimation in MIMO-OFDM System," International Journal of Intelligent Engineering & Systems, vol. 14, no. 6, pp. 453–463, 2021.
W. Raza, X. Ma, A. Ali, A. Raza, and S. Shaikh, "Performance Analysis of Selective Mapping in Underwater Acoustic Orthogonal Frequency Division Multiplexing Communication System," Engineering, Technology & Applied Science Research, vol. 11, no. 1, pp. 6696–6702, Feb. 2021.
K. Ramadan, M. I. Dessouky, and F. E. A. El-Samie, "Modified OFDM configurations with equalization and CFO compensation for performance enhancement of OFDM communication systems using symmetry of the Fourier transform," AEU - International Journal of Electronics and Communications, vol. 126, Nov. 2020, Art. no. 153247.
J. Mestoui, M. El Ghzaoui, M. Fattah, A. Hmamou, and J. Foshi, "Performance analysis of CE-OFDM-CPM Modulation using MIMO system over wireless channels," Journal of Ambient Intelligence and Humanized Computing, vol. 11, no. 10, pp. 3937–3945, Oct. 2020.
J. Simon, "A Performance Analysis of Wavelet based LTE-OFDM with Multi-equalizers," Turkish Journal of Computer and Mathematics Education (TURCOMAT), vol. 12, no. 6, pp. 108–116, Apr. 2021.
K. Chen-Hu, Y. Liu, and A. G. Armada, "Non-Coherent Massive MIMO-OFDM Down-Link Based on Differential Modulation," IEEE Transactions on Vehicular Technology, vol. 69, no. 10, pp. 11281–11294, Jul. 2020.
J. Kassam et al., "Two-Step Multiuser Equalization for Hybrid mmWave Massive MIMO GFDM Systems," Electronics, vol. 9, no. 8, Aug. 2020, Art. no. 1220.
I. Aldaya et al., "Compensation of nonlinear distortion in coherent optical OFDM systems using a MIMO deep neural network-based equalizer," Optics Letters, vol. 45, no. 20, pp. 5820–5823, Oct. 2020.
D. S. Kapoor and A. K. Kohli, "Intelligence-based Channel Equalization for 4x1 SFBC-OFDM Receiver," Intelligent Automation & Soft Computing, vol. 26, no. 3, pp. 439–446, 2020.
S. Nandi, N. N. Pathak, and A. Nandi, "A Novel Adaptive Optimized Fast Blind Channel Estimation for Cyclic Prefix Assisted Space–Time Block Coded MIMO-OFDM Systems," Wireless Personal Communications, vol. 115, no. 2, pp. 1317–1333, Nov. 2020.
S. Nandi, N. N. Pathak, and A. Nandi, "Avenues to Improve Channel Estimation Using Optimized CP in STBC Coded MIMO-OFDM Systems—A Global Optimization Approach," in Proceeding of Fifth International Conference on Microelectronics, Computing and Communication Systems, Ranchi, India, 2021, pp. 249–259.
N. H. Cheng, K. C. Huang, Y. F. Chen, and S. M. Tseng, "Maximum likelihood-based adaptive iteration algorithm design for joint CFO and channel estimation in MIMO-OFDM systems," EURASIP Journal on Advances in Signal Processing, vol. 2021, no. 1, Jan. 2021, Art. no. 6.
R. Ayeswarya and N. A. Prabha, "Fractional Wavelet Transform based PAPR Reduction Schemes in Multicarrier Modulation System," IETE Journal of Research, vol. 68, no. 1, pp. 732–742, Jan. 2022.
R.Shivaji et al., "Implementation of an Effective Hybrid PTS Model for PAPR in MIMO-OFDM System," in Proceedings of the 2nd International Conference on Data Science Machine Learning and Applications: ICDSMLA 2020, Pune, India, 2020.
Downloads
How to Cite
License
Copyright (c) 2024 Owk Srinivasulu, P. Rajesh Kumar
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Authors retain the copyright and grant the journal the right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) after its publication in ETASR with an acknowledgement of its initial publication in this journal.
