Skip to main content
Top
Published in: Wireless Personal Communications 3/2020

28-01-2020

An Energy Efficient OFDM–MIMO Systems for Multimedia Data Transmission Based on Hybrid Fuzzy Approach

Authors: Preeti Sharma, Devi Charan Dhubkarya

Published in: Wireless Personal Communications | Issue 3/2020

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

In a 4G cellular communication system, energy efficiency and power consumption are the key parameters in evaluating and designing communication system in multimedia. In this paper, an efficient model with high energy is proposed for multiple input multiple output orthogonal frequency division multiplexing (MIMO–OFDM) mobile multimedia systems with less power consumption. Providing high-speed video coding technique, which is designed to substantially improve coding efficiency compared with other coding techniques. Next to that erasures coding and Wyner–Ziv coding is used for encoding and compression process. Finally, efficient energy based optimized power allocation with hybrid Fuzzy Grey Wolf Optimization (GWO) algorithm is presented to reduce the power consumption of MIMO–OFDM mobile multimedia communication systems. The value of power which is consumed at the 30th iteration is 20 W and the energy efficiency is 92% for the 20 W power. Experimental results show that the proposed hybrid Fuzzy GWO algorithm can assure the required service with maximum efficiency in MIMO–OFDM.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Paulraj, A. J., et al. (2004). An overview of MIMO communications-a key to gigabit wireless. Proceedings of the IEEE,92(2), 198–218.CrossRef Paulraj, A. J., et al. (2004). An overview of MIMO communications-a key to gigabit wireless. Proceedings of the IEEE,92(2), 198–218.CrossRef
2.
go back to reference Xiong, K., Fan, P., Zhang, C., & Letaief, K. B. (2015). Wireless information and energy transfer for two-hop non-regenerative MIMO–OFDM relay networks. IEEE Journal on Selected Areas in Communications,33(8), 1595–1611. Xiong, K., Fan, P., Zhang, C., & Letaief, K. B. (2015). Wireless information and energy transfer for two-hop non-regenerative MIMO–OFDM relay networks. IEEE Journal on Selected Areas in Communications,33(8), 1595–1611.
3.
go back to reference Li, X., Li, C., & Jin, Y. (2016). Dynamic resource allocation for transmit power minimization in OFDM-based NOMA systems. IEEE Communications Letters,20(12), 2558–2561.CrossRef Li, X., Li, C., & Jin, Y. (2016). Dynamic resource allocation for transmit power minimization in OFDM-based NOMA systems. IEEE Communications Letters,20(12), 2558–2561.CrossRef
4.
go back to reference Zhou, L., Zhu, C., Ruby, R., Wang, X., Ji, X., Wang, S., et al. (2017). QoS-aware energy-efficient resource allocation in OFDM-based heterogeneous cellular networks. International Journal of Communication Systems,30(2), e2931.CrossRef Zhou, L., Zhu, C., Ruby, R., Wang, X., Ji, X., Wang, S., et al. (2017). QoS-aware energy-efficient resource allocation in OFDM-based heterogeneous cellular networks. International Journal of Communication Systems,30(2), e2931.CrossRef
5.
go back to reference Wang, Z., Wen, C., Fan, Z., & Wan, X. (2018). A novel price-based power allocation algorithm in non-orthogonal multiple access networks. IEEE Wireless Communications Letters,7(2), 230–233.CrossRef Wang, Z., Wen, C., Fan, Z., & Wan, X. (2018). A novel price-based power allocation algorithm in non-orthogonal multiple access networks. IEEE Wireless Communications Letters,7(2), 230–233.CrossRef
6.
go back to reference Ren, Z., Chen, S., Hu, B., & Ma, W. (2014). Energy-efficient resource allocation in downlink OFDM wireless systems with proportional rate constraints. IEEE Transactions on Vehicular Technology,63(5), 2139–2150.CrossRef Ren, Z., Chen, S., Hu, B., & Ma, W. (2014). Energy-efficient resource allocation in downlink OFDM wireless systems with proportional rate constraints. IEEE Transactions on Vehicular Technology,63(5), 2139–2150.CrossRef
7.
go back to reference Ning, B., Yang, S., Liu, L., & Lu, Y. (2014). Resource allocation for OFDM cognitive radio with enhanced primary transmission protection. IEEE Communications Letters,18(11), 2027–2030.CrossRef Ning, B., Yang, S., Liu, L., & Lu, Y. (2014). Resource allocation for OFDM cognitive radio with enhanced primary transmission protection. IEEE Communications Letters,18(11), 2027–2030.CrossRef
8.
go back to reference Xu, L., Qian, F., Li, Y., Li, Q., Yang, Y.-W., & Xu, J. (2016). Resource allocation based on quantum particle swarm optimization and RBF neural network for overlay cognitive OFDM System. Neurocomputing,173, 1250–1256.CrossRef Xu, L., Qian, F., Li, Y., Li, Q., Yang, Y.-W., & Xu, J. (2016). Resource allocation based on quantum particle swarm optimization and RBF neural network for overlay cognitive OFDM System. Neurocomputing,173, 1250–1256.CrossRef
9.
go back to reference Krishnan, K. V., Sajith, R. M., & Khara, S. (2015). Dynamic resource allocation in OFDM based cognitive radio system considering primary user QoS and secondary user proportional constraints. Journal of Communications Technology and Electronics,60(11), 1269–1275.CrossRef Krishnan, K. V., Sajith, R. M., & Khara, S. (2015). Dynamic resource allocation in OFDM based cognitive radio system considering primary user QoS and secondary user proportional constraints. Journal of Communications Technology and Electronics,60(11), 1269–1275.CrossRef
10.
go back to reference Xiao, X., Tao, X., & Lu, J. (2015). Energy-efficient resource allocation in LTE-based MIMO–OFDMA systems with user rate constraints. IEEE Transactions on Vehicular Technology,64(1), 185–197.CrossRef Xiao, X., Tao, X., & Lu, J. (2015). Energy-efficient resource allocation in LTE-based MIMO–OFDMA systems with user rate constraints. IEEE Transactions on Vehicular Technology,64(1), 185–197.CrossRef
11.
go back to reference She, C., Yang, C., & Liu, L. (2015). Energy-efficient resource allocation for MIMO–OFDM systems serving random sources with statistical QoS requirement. IEEE Transactions on Communications,63(11), 4125–4141.CrossRef She, C., Yang, C., & Liu, L. (2015). Energy-efficient resource allocation for MIMO–OFDM systems serving random sources with statistical QoS requirement. IEEE Transactions on Communications,63(11), 4125–4141.CrossRef
12.
go back to reference Bal, R., Bakshi, A., & Gupta, S. (2019). Performance evaluation of optimization techniques with vector quantization used for image compression. Harmony search and nature inspired optimization algorithms (pp. 879–888). Singapore: Springer.CrossRef Bal, R., Bakshi, A., & Gupta, S. (2019). Performance evaluation of optimization techniques with vector quantization used for image compression. Harmony search and nature inspired optimization algorithms (pp. 879–888). Singapore: Springer.CrossRef
13.
go back to reference Bouchemel, A., Abed, D., & Moussaoui, A. (2018). Enhancement of compressed image transmission in WMSNs using modified μ-nonlinear transformation. IEEE Communications Letters,22(5), 934–937.CrossRef Bouchemel, A., Abed, D., & Moussaoui, A. (2018). Enhancement of compressed image transmission in WMSNs using modified μ-nonlinear transformation. IEEE Communications Letters,22(5), 934–937.CrossRef
14.
go back to reference Ali, H. S., Atallah, A. M., & Abdalla, M. I. (2017). An efficient source–channel coding for wireless image transmission over underwater acoustic channel. Wireless Personal Communications,96(1), 291–302.CrossRef Ali, H. S., Atallah, A. M., & Abdalla, M. I. (2017). An efficient source–channel coding for wireless image transmission over underwater acoustic channel. Wireless Personal Communications,96(1), 291–302.CrossRef
15.
go back to reference Kazemian, M., Varahram, P., Hashim, S. J., Ali, B. M., & Farrell, R. (2018). A low complexity peak-to-average power ratio reduction scheme based on selected mapping and radix-II IFFT in OFDM systems. Telecommunication Systems,67(1), 21–30.CrossRef Kazemian, M., Varahram, P., Hashim, S. J., Ali, B. M., & Farrell, R. (2018). A low complexity peak-to-average power ratio reduction scheme based on selected mapping and radix-II IFFT in OFDM systems. Telecommunication Systems,67(1), 21–30.CrossRef
16.
go back to reference Kim, S., & Lee, Y. H. (2015). Energy-efficient power allocation for OFDM signaling over a two-way AF relay. IEEE Transactions on Vehicular Technology,64(10), 4856–4863.MathSciNetCrossRef Kim, S., & Lee, Y. H. (2015). Energy-efficient power allocation for OFDM signaling over a two-way AF relay. IEEE Transactions on Vehicular Technology,64(10), 4856–4863.MathSciNetCrossRef
17.
go back to reference Li, X., Ge, X., Wang, X., Cheng, J., & Leung, V. C. M. (2016). Energy efficiency optimization: Joint antenna-subcarrier-power allocation in OFDM-DASs. IEEE Transactions on Wireless Communications,15(11), 7470–7483.CrossRef Li, X., Ge, X., Wang, X., Cheng, J., & Leung, V. C. M. (2016). Energy efficiency optimization: Joint antenna-subcarrier-power allocation in OFDM-DASs. IEEE Transactions on Wireless Communications,15(11), 7470–7483.CrossRef
18.
go back to reference Han, J., Zhang, L., & Leus, G. (2016). Partial FFT demodulation for MIMO–OFDM over time-varying underwater acoustic channels. IEEE Signal Processing Letters,23(2), 282–286. Han, J., Zhang, L., & Leus, G. (2016). Partial FFT demodulation for MIMO–OFDM over time-varying underwater acoustic channels. IEEE Signal Processing Letters,23(2), 282–286.
19.
go back to reference You, C. (2018). Near-lossless compression/decompression algorithms for digital data transmitted over fronthaul in C-RAN. Wireless Networks,24(2), 533–548.CrossRef You, C. (2018). Near-lossless compression/decompression algorithms for digital data transmitted over fronthaul in C-RAN. Wireless Networks,24(2), 533–548.CrossRef
20.
go back to reference Peng, M., Yu, Y., Xiang, H., & Poor, H. V. (2016). Energy-efficient resource allocation optimization for multimedia heterogeneous cloud radio access networks. IEEE Transactions on Multimedia,18(5), 879–892.CrossRef Peng, M., Yu, Y., Xiang, H., & Poor, H. V. (2016). Energy-efficient resource allocation optimization for multimedia heterogeneous cloud radio access networks. IEEE Transactions on Multimedia,18(5), 879–892.CrossRef
21.
go back to reference Ge, X., Huang, X., Wang, Y., Chen, M., Li, Q., Han, T., et al. (2014). Energy-efficiency optimization for MIMO–OFDM mobile multimedia communication systems with QoS constraints. IEEE Transactions on Vehicular Technology,63(5), 2127–2138.CrossRef Ge, X., Huang, X., Wang, Y., Chen, M., Li, Q., Han, T., et al. (2014). Energy-efficiency optimization for MIMO–OFDM mobile multimedia communication systems with QoS constraints. IEEE Transactions on Vehicular Technology,63(5), 2127–2138.CrossRef
22.
go back to reference Bu, S., & Yu, F. R. (2014). Green cognitive mobile networks with small cells for multimedia communications in the smart grid environment. IEEE Transactions on Vehicular Technology,63(5), 2115–2126.CrossRef Bu, S., & Yu, F. R. (2014). Green cognitive mobile networks with small cells for multimedia communications in the smart grid environment. IEEE Transactions on Vehicular Technology,63(5), 2115–2126.CrossRef
23.
go back to reference Wang, Q., Wang, W., Jin, S., Zhu, H., & Zhang, N. T. (2015). Quality-optimized joint source selection and power control for wireless multimedia D2D communication using Stackelberg game. IEEE Transactions on Vehicular Technology,64(8), 3755–3769.CrossRef Wang, Q., Wang, W., Jin, S., Zhu, H., & Zhang, N. T. (2015). Quality-optimized joint source selection and power control for wireless multimedia D2D communication using Stackelberg game. IEEE Transactions on Vehicular Technology,64(8), 3755–3769.CrossRef
24.
go back to reference Chen, X., Hwang, J.-N., Lee, C.-N., & Chen, S.-I. (2015). A near optimal QoE-driven power allocation scheme for scalable video transmissions over MIMO systems. IEEE Journal of Selected Topics in Signal Processing,9(1), 76–88.CrossRef Chen, X., Hwang, J.-N., Lee, C.-N., & Chen, S.-I. (2015). A near optimal QoE-driven power allocation scheme for scalable video transmissions over MIMO systems. IEEE Journal of Selected Topics in Signal Processing,9(1), 76–88.CrossRef
25.
go back to reference Zhou, H., Mao, S., & Agrawal, P. (2015). Optical power allocation for adaptive transmissions in wavelength-division multiplexing free space optical networks. Digital Communications and Networks,1(3), 171–180.CrossRef Zhou, H., Mao, S., & Agrawal, P. (2015). Optical power allocation for adaptive transmissions in wavelength-division multiplexing free space optical networks. Digital Communications and Networks,1(3), 171–180.CrossRef
26.
go back to reference Hemalatha, R., Radha, S., & Sudharsan, S. (2015). Energy-efficient image transmission in wireless multimedia sensor networks using block-based compressive sensing. Computers & Electrical Engineering,44, 67–79.CrossRef Hemalatha, R., Radha, S., & Sudharsan, S. (2015). Energy-efficient image transmission in wireless multimedia sensor networks using block-based compressive sensing. Computers & Electrical Engineering,44, 67–79.CrossRef
27.
go back to reference Sheikh, J. A., Parah, S.A., & Bhat, G. M. (2017). Energy efficient image transmission through orthogonal frequency division multiplexing (OFDM) based multiple input multiple output (MIMO) systems. In 2017 fourth international conference on image information processing (ICIIP) (pp. 1–6). IEEE. Sheikh, J. A., Parah, S.A., & Bhat, G. M. (2017). Energy efficient image transmission through orthogonal frequency division multiplexing (OFDM) based multiple input multiple output (MIMO) systems. In 2017 fourth international conference on image information processing (ICIIP) (pp. 1–6). IEEE.
28.
go back to reference Eraslan, E., & Daneshrad, B. (2017). Low-complexity link adaptation for energy efficiency maximization in MIMO–OFDM systems. IEEE Transactions on Wireless Communications,16(8), 5102–5114.CrossRef Eraslan, E., & Daneshrad, B. (2017). Low-complexity link adaptation for energy efficiency maximization in MIMO–OFDM systems. IEEE Transactions on Wireless Communications,16(8), 5102–5114.CrossRef
29.
go back to reference Guo, R., Zhu, P., Li, J., Wang, D., & You, X. (2019). Energy optimization algorithms for MIMO–OFDM based downlink C-RAN system. IEEE Access,7, 17927–17934.CrossRef Guo, R., Zhu, P., Li, J., Wang, D., & You, X. (2019). Energy optimization algorithms for MIMO–OFDM based downlink C-RAN system. IEEE Access,7, 17927–17934.CrossRef
30.
go back to reference Chen, M., Xiao, X., Li, X., Yu, J., Huang, Z. R., Li, F., et al. (2016). Improved BER performance of real-time DDO-OFDM systems using interleaved Reed-Solomon codes. IEEE Photonics Technology Letters,28(9), 1014–1017.CrossRef Chen, M., Xiao, X., Li, X., Yu, J., Huang, Z. R., Li, F., et al. (2016). Improved BER performance of real-time DDO-OFDM systems using interleaved Reed-Solomon codes. IEEE Photonics Technology Letters,28(9), 1014–1017.CrossRef
31.
go back to reference Shirato, Y., & Muraguchi, M. (2016). Signal decomposition technique for enhanced power added efficiency of OFDM transmitters and its application for MIMO systems. In 2016 46th European microwave conference (EuMC) (pp. 146–149). IEEE. Shirato, Y., & Muraguchi, M. (2016). Signal decomposition technique for enhanced power added efficiency of OFDM transmitters and its application for MIMO systems. In 2016 46th European microwave conference (EuMC) (pp. 146–149). IEEE.
32.
go back to reference He, J., Li, B., Deng, L., Tang, M., Gan, L., Fu, S., et al. (2016). Experimental demonstration of bidirectional OFDM/OQAM-MIMO signal over a multicore fiber system. IEEE Photonics Journal,8(5), 1–8.CrossRef He, J., Li, B., Deng, L., Tang, M., Gan, L., Fu, S., et al. (2016). Experimental demonstration of bidirectional OFDM/OQAM-MIMO signal over a multicore fiber system. IEEE Photonics Journal,8(5), 1–8.CrossRef
33.
go back to reference Krishna, C. M., Somasekhar, B., & Swaroop, V. S. (2017). A study on PAPR reduction and channel estimation in MIMO–OFDM system using wavelet transform. In 2017 international conference on energy, communication, data analytics and soft computing (ICECDS) (pp. 1707–1711). IEEE. Krishna, C. M., Somasekhar, B., & Swaroop, V. S. (2017). A study on PAPR reduction and channel estimation in MIMO–OFDM system using wavelet transform. In 2017 international conference on energy, communication, data analytics and soft computing (ICECDS) (pp. 1707–1711). IEEE.
34.
go back to reference Xing, C., Ma, S., & Zhou, Y. (2015). Matrix-monotonic optimization for MIMO systems. IEEE Transactions on Signal Processing,63(2), 334–348.MathSciNetCrossRef Xing, C., Ma, S., & Zhou, Y. (2015). Matrix-monotonic optimization for MIMO systems. IEEE Transactions on Signal Processing,63(2), 334–348.MathSciNetCrossRef
35.
go back to reference He, X., Song, R., & Zhu, W. P. (2016). Pilot allocation for distributed-compressed-sensing-based sparse channel estimation in MIMO–OFDM systems. IEEE Transactions on Vehicular Technology,65(5), 2990–3004.CrossRef He, X., Song, R., & Zhu, W. P. (2016). Pilot allocation for distributed-compressed-sensing-based sparse channel estimation in MIMO–OFDM systems. IEEE Transactions on Vehicular Technology,65(5), 2990–3004.CrossRef
36.
go back to reference Manzoor, S., & Othman, N. S. (2017). Signal to noise ratio estimation in OFDM based cooperative communication system. In 2017 IEEE 13th Malaysia international conference on communications (MICC) (pp. 84–89). IEEE. Manzoor, S., & Othman, N. S. (2017). Signal to noise ratio estimation in OFDM based cooperative communication system. In 2017 IEEE 13th Malaysia international conference on communications (MICC) (pp. 84–89). IEEE.
37.
go back to reference Gross, J., Klaue, J., Karl, H., & Wolisz, A. (2004). Cross-layer optimization of OFDM transmission systems for MPEG-4 video streaming. Computer Communications,27(11), 10.CrossRef Gross, J., Klaue, J., Karl, H., & Wolisz, A. (2004). Cross-layer optimization of OFDM transmission systems for MPEG-4 video streaming. Computer Communications,27(11), 10.CrossRef
Metadata
Title
An Energy Efficient OFDM–MIMO Systems for Multimedia Data Transmission Based on Hybrid Fuzzy Approach
Authors
Preeti Sharma
Devi Charan Dhubkarya
Publication date
28-01-2020
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 3/2020
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07109-4

Other articles of this Issue 3/2020

Wireless Personal Communications 3/2020 Go to the issue