A Novel Energy-Efficient MIMO-OFDM Decoder Architecture with Error Detection

References

• M. A. Geidam, R. Prasad, et al., “Child and maternal health care using telemedicine: A case study of YobeState, Nigeria,” Int. J. Comp. Eng. Appl., Vol. VIII, no. 1, pp. 1–11, Oct. 2014.
   Google Scholar
• B. S. RajvanshSehamby, “Noise cancellation using adaptive filtering in ECG signals: Application to biotelemetry,” Int. J. Bio-Sci. Bio-Technol., Vol. 8, no. 2, pp. 237–244, 2016.
   Google Scholar
• H. S. S. Natraj Setty, S. S. Gouda Patil, R. T. Ramegowda, V. Vijaykumar, and I. B. Vijayalakshmi, “Comprehensive approach to congenital heart defects,” J. Cardiovasc. Dis. Res., Vol. 8, no. 1, pp. 01–05, 2017. doi:10.5530/jcdr.2017.1.1
   Google Scholar
• R. Sameni, and G. D. Clifford, “A review of fetal ECG signal processing; issues and promising directions,” Open Pacing Electrophysiol. Ther J., Vol. 3, pp. 4–20, Jan. 2010.
   PubMedGoogle Scholar
• I. Sainia, D. Singh, and A. Khosla, “QRS detection using K-nearest neighbor algorithm (KNN) and evaluation on standard ECG databases,” J. Adv. Res., Vol. 4, no. 4, pp. 331–344, 2013. doi:10.1016/j.jare.2012.05.007
   PubMedGoogle Scholar
• M. E. BachirMenai, F. J. Mohder, and F. Al-mutairi, “Influence of feature selection on naïve bayes classifier for recognizing patterns in cardiotocograms,” J. Med. Bioeng., Vol. 2, no. 1, pp. 66–70, 2013. doi:10.12720/jomb.2.1.66-70
   Google Scholar
• J. Spilka, J. Frecon, and R. Leonarduzzi, “Sparse support vector machine for intrapartum fetal heart rate classification”,” IEEE J. Biomed. Health. Inform., Vol. 21, no. 3, pp. 1–8, 2016.
   Web of Science ®Google Scholar
• M. Gang, Z. Wei, and C. Xiaolin, “A novel particle swarm optimization algorithm based on particle migration,” Appl. Math. Comput., Vol. 218, no. 11, pp. 6620–6626, 2012. doi:10.1016/j.amc.2011.12.032
   Web of Science ®Google Scholar
• Y. G. Li, J. H. Winters,  and N.R. Sollenberger, “MIMO-OFDM for wireless communications: signal detection with enhanced channel estimation,” IEEE Trans. Commun., Vol. 50, no. 9, pp. 1471–1477, Sep. 2002. doi:10.1109/TCOMM.2002.802566
   Web of Science ®Google Scholar
• S. Bhunia, M. S. Hsiao, M. Banga, and S. Narasimhan, “Hardware trojan attacks: Threat analysis and countermeasures,” IEEE Proc., Vol. 102, no. 8, pp. 1229–1247, Aug. 2014. doi:10.1109/JPROC.2014.2334493
   Web of Science ®Google Scholar
• M. Tehranipoor, and F. Koushanfar, “A survey of hardware Trojan taxonomy and detection,” IEEE Des. Test Comput., Vol. 27, no. 1, pp. 10–25, 2010. doi:10.1109/MDT.2010.7
   Web of Science ®Google Scholar
• M. Goudhaman, “Cheetah chase algorithm (CCA): A nature-inspired metaheuristic algorithm,” Int. J. Eng. Technol., Vol. 7, no. 3, pp. 1804–1811, 2018. doi:10.14419/ijet.v7i3.18.14616
   Google Scholar
• A. J. Paulraj, D. A. Gore, R. U. Nabar, and H. Bolcskei, “An overview of MIMO communications—A key to gigabit wireless,” Proc. IEEE, Vol. 92, no. 2, pp. 198–218, Feb. 2004. doi:10.1109/JPROC.2003.821915
   Web of Science ®Google Scholar
• A. S. Buttar, A. K. Goel, and S. Kumar, “Evolving novel algorithm based on intellectual behavior of wild dog group as optimizer,” IEEE Symp Swarm Intelligence, Jan. 2015. doi:10.1109/SIS.2014.7011768.
   Google Scholar
• S. M. Goldansaz, F. Jolai, and A. H. Zahedi Anaraki, “A hybrid imperialist competitive algorithm for minimizing makespan in a multi-processor open shop,” Appl. Math. Model, Vol. 37, no. 23, pp. 9603–9616, 2013. doi:10.1016/j.apm.2013.05.002
   Web of Science ®Google Scholar
• M. Yazdani, and F. Jolai, “Lion optimization algorithm (LOA): A nature-inspired metaheuristic algorithm,” J. Comput. Design Eng., Vol. 3, no. 1, pp. 24–36, Jan 2016. doi:10.1016/j.jcde.2015.06.003
   Web of Science ®Google Scholar
• B. Wang, X. Jin, and B. Cheng, “Lion pride optimizer: an optimization algorithm inspired by lion pride behavior,” Sci. China Inf. Sci., Vol. 55, no. 10, pp. 2369–2389, 2012. doi:10.1007/s11432-012-4548-0
   Google Scholar
• A. Chambolle, and T. Pock, “A first-order primal-dual algorithm for convex problems with applications to Imaging,” Springer J. Math. Imaging Vis., Vol. 40, no. 40, pp. 120–145, 2011. doi:10.1007/s10851-010-0251-1
   Google Scholar
• M. I. A. Mohamed, K. Mohammed, and B. Daneshrad, “Energy efficient programmable MIMO decoder accelerator chip in 65-nm CMOS,” IEEE Trans. VLSI Syst., Vol. 22, no. 7, pp. 1481–1490, July 2014. doi:10.1109/TVLSI.2013.2272058
   Web of Science ®Google Scholar
• K. Lee, and B. Daneshrad, “VLSI implementation of a Quasi-ML, energy efficient fixed complexity sphere decoder for MIMO communication system,” IEEE Int. Symp. Circ. Syst., Aug. 2010. doi:10.1109/ISCAS.2010.5537824
   Google Scholar
• A. Burg, M. Borgmann, et al., “VLSI implementation of MIMO detection using the sphere decoding algorithm,” IEEE J. Solid-State Circ., Vol. 40, no. 3, pp. 1566–1577, July 2005.
   Google Scholar
• B. A. Harvey, “Adaptive viterbi algorithm with ARQ for bounded complexity decoding,” IEEE Trans. Wireless Commun., Vol. 3, no. 6, pp. 1948–1952, 2004. doi:10.1109/TWC.2004.837451
   Web of Science ®Google Scholar
• S.-W. Lee, and B. V. K. Vijaya Kumar, “Application of pattern-output viterbi algorithm to algebraic soft-decision decoding over partial response channels,” IEEE Commun. Lett., Vol. 14, no. 5, pp. 483–485, 2010. doi:10.1109/LCOMM.2010.05.092109
   Web of Science ®Google Scholar
• Y. Huang, and H. Zhu, “A novel OFDM MIMO-multiplexing architecture with QRM-MLD detection and LDPC decoding,” IEEE Vehicular Conf., Jun. 2010. doi:10.1109/VETECS.2010.5493712
   Google Scholar
• C. Roth, A. Cevreroz, et al., “Area, throughput, and energy-efficiency trade-offs in the VLSI implementation of LDPC decoders,” IEEE Trans. Circuits Syst., Jul. 2011. doi:10.1109/ISCAS.2011.5937927.
   Google Scholar
• D. Lee, “Performance analysis of scheduled STBC over non-identically distributed arbitrary nakagami fading channels,” IEEE Commun. Lett., Vol. 19, no. 7, pp. 1269–1272, 2015. doi:10.1109/LCOMM.2015.2430311
   Web of Science ®Google Scholar
• S. K. S. Yusof, A. I. A. Zamani, et al., “Intercarrier interference self-cancellation for space-time-frequency MIMO-OFDM system,” IEEE Int. RF Microwave Conf., Apr. 2009. doi:10.1109/RFM.2008.4897452.
   Google Scholar
• D. Preethi, R. S. Valarmathi, and R. Harikumar, “Energy efficient VLSI decoder chip with reduced PAPR in FECG monitoring,” Int. J. Electron., Vol. 107, no. 8, pp. 1304–1323, 2020. doi:10.1080/00207217.2020.1726490
   Web of Science ®Google Scholar
• D. P. Vasudevan, P. K. Lala, et al., “Self-checking carry select adder design based on two-rail encoding,” IEEE Trans. Circuits Syst. I, 2007. doi:10.1109/IOLTS.2010.5560204.
   Google Scholar
• M. A. Hasan, M. B. I. Reaz, M. I. Ibrahimy, M. S. Hussain, and J. Uddin, “Detection and processing techniques of FECG signal for fetal monitoring,” Biol. Proced. Online, Vol. 11, no. 1, pp. 263–295, Mar. 2009. doi:10.1007/s12575-009-9006-z
   PubMed Web of Science ®Google Scholar