MIMO-WiMAX system incorporated with diverse transformation for 5G applications

doi:10.1007/s12200-018-0841-x

Front. Optoelectron.

2019, Vol. 12

Issue (3) : 296-310 https://doi.org/10.1007/s12200-018-0841-x

RESEARCH ARTICLE

MIMO-WiMAX system incorporated with diverse transformation for 5G applications

Lavish KANSAL¹(

), Vishal SHARMA², Jagjit Singh MALHOTRA³

¹. IKG Punjab Technical University, Jalandhar, India
². Department of Electronics & Communication Engineering, SBSSTC, Ferozepur, India
³. Department of Electronics and Communication Engineering, DAVIET, Jalandhar, India

Download: PDF(4471 KB) HTML
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

Wireless systems and standards are now progressing toward the implementation of fifth generation (5G) to combat with an expected and explosive growth of demands of wireless services in future. Consequently, wireless interoperability for microwave access (WiMAX) with orthogonal frequency division multiplexing (OFDM) technology at its physical layer is being utilized for the uplink and downlink transmission to afford the high spectral efficiency in fading environments. However, the 5G implementation requires additional improvements to meet the futuristic stress. This work proposes an innovative solution that combines WiMAX system with multiple input multiple output (MIMO) technology to meet the required elevated data rates as desired by the growing application needs of 5G. MIMO is capable to fulfil the vision of 5G to realize a huge number of base stations equipped with a large number of terminals to be served in the same time-frequency resource without severe inter-user interference. Furthermore, the proposed system is demonstrated incorporation with discrete wavelet transform (DWT), and fractional Fourier transforms (FrFTs) in the physical layer of the WiMAX system. The evaluated outcomes exemplify a considerable improvement in bit error rate (BER) performance in contrast with the earlier reported work.

Keywords wireless interoperability for microwave access (WiMAX) orthogonal frequency division multiplexing (OFDM) multiple input multiple output (MIMO) fast Fourier transform (FFT) discrete wavelet transform (DWT) fractional Fourier transform (FrFT)

Corresponding Author(s): Lavish KANSAL

Just Accepted Date: 29 September 2018 Online First Date: 29 November 2018 Issue Date: 16 September 2019

Cite this article:

Lavish KANSAL,Vishal SHARMA,Jagjit Singh MALHOTRA. MIMO-WiMAX system incorporated with diverse transformation for 5G applications[J]. Front. Optoelectron., 2019, 12(3): 296-310.

URL:

https://academic.hep.com.cn/foe/EN/10.1007/s12200-018-0841-x
https://academic.hep.com.cn/foe/EN/Y2019/V12/I3/296

Fig.1 WiMAX physical layer model

Fig.2 (a) IDWT and (b) DWT block diagrams

Fig.3 Basic representation of Alamouti space-time block encoder

Fig.4 Spatial transmit diversity with Alamouti’s space-time block code

Fig.5 SNR vs BER comparison for MIMO-WiMAX augmented with diverse transforms with 2 transmitting and 1 receiving antenna over Rayleigh fading channel. (a) BPSK with CC 1/2; (b) QPSK with CC 1/2; (c) QPSK with CC 3/4; (d) 16-QAM with CC 1/2; (e) 16-QAM with CC 3/4; (f) 64-QAM with CC 2/3; (g) 64-QAM with CC 3/4

Fig.6 SNR vs BER comparison for MIMO-WiMAX augmented with diverse transforms with 2 transmitting and 1 receiving antenna over Rayleigh fading channel. (a) BPSK; (b) QPSK

Fig.7 Spectral efficiency comparison for MIMO-WiMAX augmented with diverse transforms with 2 transmitting and 1 receiving antenna over Rayleigh fading channel. (a) BPSK with CC 1/2; (b) QPSK with CC 1/2; (c) QPSK with CC 3/4; (d) 16-QAM with CC 1/2; (e) 16-QAM with CC 3/4; (f) 64-QAM with CC 2/3; (g) 64-QAM with CC 3/4

Tab.1 SNR required to achieve a BER of 10⁻⁴ for MIMO-WiMAX augmented with diverse transforms with 2 transmitting and 1 receiving antenna over Rayleigh fading channel

Fig.8 SNR vs BER comparison for MIMO-WiMAX augmented with diverse transforms with 2 transmitting and 2 receiving antenna over Rayleigh fading channel. (a) BPSK with CC 1/2; (b) QPSK with CC 1/2; (c) QPSK with CC 3/4; (d) 16-QAM with CC 1/2; (e) 16-QAM with CC 3/4; (f) 64-QAM with CC 2/3; (g) 64-QAM with CC 3/4

Fig.9 Spectral efficiency comparison for MIMO-WiMAX augmented with diverse transforms with 2 transmitting and 2 receiving antenna over Rayleigh fading channel. (a) BPSK with CC 1/2; (b) QPSK with CC 1/2; (c) QPSK with CC 3/4; (d) 16-QAM with CC 1/2; (e) 16-QAM with CC 3/4; (f) 64-QAM with CC 2/3; (g) 64-QAM with CC 3/4

Tab.2 SNR required to achieve a BER of 10⁻⁴ for MIMO-WiMAX augmented with diverse transforms with 2 transmitting and 2 receiving antenna over Rayleigh fading channel

1	P Banelli, S Buzzi, G Colavolpe, A Modenini, F Rusek, A Ugolini. Modulation formats and waveforms for 5G networks: who will be the heir of OFDM?: an overview of alternative modulation schemes for improved spectral efficiency. IEEE Signal Processing Magazine, 2014, 31(6): 80–93 https://doi.org/10.1109/MSP.2014.2337391
2	Y Li, J H Winters, N R Sollenberger. MIMO-OFDM for wireless communications: signal detection with enhanced channel estimation. IEEE Transactions on Communications, 2002, 50(9): 1471–1477 https://doi.org/10.1109/TCOMM.2002.802566
3	IEEE 802.16a. Local and Metropolitan Area Networks—Part 16, Air Interface for Fixed Broadband Wireless Access Systems. IEEE Standard, 2004
4	IEEE 802.11a. Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: High-Speed Physical Layer in the 5 GHz Band. IEEE Standard, 1999
5	S Suthaharan, A Nallanathan, B Kannan. Space-time coded MIMO-OFDM for high capacity and high data-rate wireless communication over frequency selective fading channels. In: Proceedings of International Workshop on Mobile and Wireless Communications. Stockholm: IEEE, 2002, 424–428
6	S Alamouti. A simple transmit diversity technique for wireless communications. IEEE Journal on Selected Areas in Communications, 1998, 16(8): 1451–1458 https://doi.org/10.1109/49.730453
7	K Tashiro, L Jr Lanante, M Kurosaki, H Ochi. High-resolution image transmission over MIMO-OFDM E-SDM system with JSCC. In: Proceedings of IEEE Fourth International Conference on Consumer Electronics Berlin (ICCE-Berlin). Berlin: IEEE, 2014, https://doi.org/10.1109/ICCE-Berlin.2014.7034243
8	V Tarokh, H Jafarkhani, A R Calderbank. Space-time block codes from orthogonal designs. IEEE Transactions on Information Theory, 1999, 45(5): 1456–1467 https://doi.org/10.1109/18.771146
9	V Tarokh, N Seshadri, A R Calderbank. Space-time codes for high data rate wireless communication: performance criterion and code construction. IEEE Transactions on Information Theory, 1998, 44(2): 744–765 https://doi.org/10.1109/18.661517
10	D Gupta, V B Vats, K K Garg. Performance analysis of DFT-OFDM, DCT-OFDM, and DWT-OFDM systems in AWGN channel. In: Proceedings of International Conference on Wireless and Mobile Communications. Athens: IEEE, 2008, 214–216
11	Z A Hamid, M Samir, S M Abd El-atty, A E El-Hennawy, H El Shenawy, S A Alshebeili, F E Abd El-Samie. On the performance of FFT/DWT/DCT-based OFDM systems with chaotic interleaving and channel estimation algorithms. Wireless Personal Communications, 2014, 78(2): 1495–1510 https://doi.org/10.1007/s11277-014-1830-z
12	M K Lakshmanan, H Nikookar. A review of wavelets for digital wireless communication. Wireless Personal Communications, 2006, 37(3-4): 387–420 https://doi.org/10.1007/s11277-006-9077-y
13	X D Zhang, P P Xu, G A Zhang, G G Bi. Study on complex wavelet packet based OFDM modulation (CWPOFDM). Chinese Journal of Electronics, 2002, 30(4): 477–479
14	E Sejdić, I Djurovic, L Stankovic. Fractional Fourier transform as a signal processing tool: an overview of recent developments. Signal Processing, 2011, 91(6): 1351–1369 https://doi.org/10.1016/j.sigpro.2010.10.008
15	D Molteni, M Nicoli, U Spagnolini. Performance of MIMO-OFDMA systems in correlated fading channels and non-stationary interference. IEEE Transactions on Wireless Communications, 2011, 10(5): 1480–1494 https://doi.org/10.1109/TWC.2011.030411.100453
16	K Abdullah, A Z Sadik, Z M Hussain. On the DWT- and WPT- OFDM versus FFT-OFDM. In: Proceedings of 5th IEEE GCC Conference & Exhibition. Kuwait City: IEEE, 2009, 1–5
17	R Asif, R A Abd-Alhameed, O Oanoh, Y Dama, H S Migdadi, J M Noars, A S Hussaini, J Rodriquez. Performance comparison between DWT-OFDM and FFT-OFDM using time domain zero forcing equalization. In: Proceedings of 2012 International Conference on Telecommunication and Multimedia. Chania: IEEE, 2012, 175–179
18	V Sharma, G Singh. On BER assessment of conventional- and wavelet-OFDM over AWGN channel. Optik (Stuttgart), 2014, 125(20): 6071–6073 https://doi.org/10.1016/j.ijleo.2014.07.073
19	V Kumbasar, O Kucur. Performance comparison of wavelet based and conventional OFDM systems in multipath Rayleigh fading channels. Digital Signal Processing, 2012, 22(5): 841–846 https://doi.org/10.1016/j.dsp.2012.02.004
20	A Kansal, K Singh, R Saxena. FrFT based OFDM system for Wireless Communications. International Journal of Engineering Science, 2014, 10(6): 43–48
21	A Kansal, K Singh, R. SaxenaPerformance analysis of FrFT based OFDM system with 1024-PSK and 1024-QAM modulation under various wireless fading channels. International Journal of Systems Assurance, Engineering and Management, 2017, 8(supplement 1): 137–145 https://doi.org/10.1007/s13198-014-0297-3
22	A Kansal, K Singh, R Saxena. Bit error rate analysis of FrFT appended OFDM system. Optik (Stuttgart), 2015, 126(7–8): 715–718 https://doi.org/10.1016/j.ijleo.2015.02.038
23	J Vieira, S Malkowsky, K Nieman, Z Miers, N Kundargi, L Liu, I Wong, V Owall, O Edfors, F Tufvesson. A exible 100-antenna testbed for massive MIMO. In: Proceedings of IEEE Global Communications Conference (GLOBECOM) Workshop on Massive MIMO: From Theory to Practice. Austin, TX: IEEE, 2014, 287–293
24	Y Kim, H Ji, J Lee, Y H Nam, B L Ng, I Tzanidis, Y Li, J Zhang. Full dimension MIMO (FD-MIMO): the next evolution of MIMO in LTE systems. IEEE Wireless Communications, 2014, 21(3): 92–100 https://doi.org/10.1109/MWC.2014.6845053
25	X Ge, K Huang, C X Wang, X Hong, X Yang. Capacity analysis of a multi-cell multi-antenna cooperative cellular network with co-channel interference. IEEE Transactions on Wireless Communications, 2011, 10(10): 3298–3309 https://doi.org/10.1109/TWC.2011.11.101551
26	X Ge, H Wang, R Zi, Q Li, Q Ni. 5G multimedia massive MIMO communications systems. Wireless Communications and Mobile Computing, 2016, 16(11): 1377–1388 https://doi.org/10.1002/wcm.2704
27	X Ge, R Zi, H Wang, J Zhang, M Jo. Multi-user massive MIMO communication systems based on irregular antenna arrays. IEEE Transactions on Wireless Communications, 2016, 15(8): 5287–5301 https://doi.org/10.1109/TWC.2016.2555911
28	Q H Spencer, C B Peel, A L Swindlehurst, M Haardt. An introduction to the multi-user MIMO downlink. IEEE Communications Magazine, 2004, 42(10): 60–67 https://doi.org/10.1109/MCOM.2004.1341262
29	L Kansal, V Sharma, J Singh. BER assessment of FFT-OFDM against WHT-OFDM over different fading channels. Wireless Networks, 2017, 23(7): 2189–2196 https://doi.org/10.1007/s11276-016-1283-2
30	L Kansal, V Sharma, J Singh. Performance evaluation of FFT-WiMAX against WHT-WiMAX over Rayleigh fading channel. Optik (Stuttgart), 2016, 127(10): 4514–4519 https://doi.org/10.1016/j.ijleo.2016.01.067

[1]	Jianping LI, Zhaohui LI. Vector mode based optical direct detection orthogonal frequency division multiplexing transmission in short-reach optical link[J]. Front. Optoelectron., 2019, 12(1): 41-51.
[2]	Xing ZHENG, Jinlong WEI, Roger Philip GIDDINGS, Jianming TANG. Simplified adaptively modulated optical OFDM modems using subcarrier modulation with added input/output reconfigurability[J]. Front Optoelec, 2012, 5(2): 187-194.
[3]	Jiajie TAN, Kecheng YANG, Min XIA. Adaptive equalization for high speed optical MIMO wireless communications using white LED[J]. Front Optoelec Chin, 2011, 4(4): 454-461.
[4]	Bin TANG. Propagation properties of beams generated by Gaussian mirror resonator in fractional Fourier transform plane[J]. Front Optoelec Chin, 2009, 2(4): 397-402.

Viewed

Full text

Abstract

Cited

Shared

Discussed