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Wireless Personal Communications

Erschienen in:

31.01.2021

A Survey on Advanced Multiple Access Techniques for 5G and Beyond Wireless Communications

verfasst von: Harshita Mathur, T. Deepa

Erschienen in: Wireless Personal Communications | Ausgabe 2/2021

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Abstract

This paper summarizes the ongoing research initiatives based on the advanced multiple access techniques towards the fifth generation (5G) wireless communication and beyond. Prior cellular network generations have embraced various multiple access techniques with a common feature that is to have orthogonal signals at the side of the receiver for different users. The diverse requirements of huge number of connections about latency and throughput is the need of the hour. Therefore, 5G wireless systems and beyond, are preferring the design method to shift towards non-orthogonal from orthogonal in multiple access techniques. The paper will mainly focus on the non-orthogonal multiple access techniques considering the types of its candidates in multiple domains which can help us in identifying the impacts on the designs of multiple access for 5G network and beyond. This survey aims to discover the obstacles and possibilities of utmost importance for multiple access designs for 5G networks.

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Cai, Y., Qin, Z., Cui, F., Li, G. Y., & McCann, J. A. (2018). Modulation and multiple access for 5G networks. IEEE Communications Surveys & Tutorials, 20(1), 629–646. https://doi.org/10.1109/COMST.2017.2766698.CrossRef

Chang, R. W. (1966). High-speed multichannel data transmission with bandlimited orthogonal signals. Bell Labs Technical Journal, 45, 1775–1796.CrossRef

Aggarwal, P., & Bohara, V. A. (2017). A nonlinear downlink multiuser MIMO-OFDM systems. IEEE Wireless Communications Letters, 6(3), 414–417. https://doi.org/10.1109/LWC.2017.2699195.CrossRef

Duel-Hallen, A., Holtzman, J., & Zvonar, Z. (1995). Multiuser detection for CDMA systems. IEEE Personal Communications, 2(2), 46–58. https://doi.org/10.1109/98.382531.CrossRef

Moshavi, S. (1996). Multi-user detection for DS-CDMA communications. IEEE Communications Magazine, 34(10), 124–136. https://doi.org/10.1109/35.544334.CrossRef

Makki, B., Chitti, K., Behravan, A., & Alouini, M. (2020). A survey of NOMA: Current status and open research challenges. IEEE Open Journal of the Communications Society, 1, 179–189.CrossRef

Islam, S. M. R., Avazov, N., Dobre, O. A., & Kwak, K. (2017). Power-domain non-orthogonal multiple access (NOMA) in 5G systems: Potentials and challenges. IEEE Communications Surveys & Tutorials, 19(2), 721–742. https://doi.org/10.1109/COMST.2016.2621116.CrossRef

Huo, Y., Dong, X., Xu, W., & Yuen, M. (2019). Enabling multi-functional 5G and beyond user equipment: A survey and tutorial. IEEE Access, 7, 116975–117008.CrossRef

Vaezi, M., Ding, Z., & Poor, H. V. (Eds.). (2019). Multiple access techniques for 5G wireless networks and beyond. New York: Springer.

10.

Jaradat, A. M., Hamamreh, J. M., & Arslan, H. (2019). Modulation options for OFDM-based waveforms: Classification, comparison, and future directions. IEEE Access, 7, 17263–17278. https://doi.org/10.1109/ACCESS.2019.2895958.CrossRef

11.

Farhang-Boroujeny, B., & Moradi, H. (2016). OFDM inspired waveforms for 5G. IEEE Communications Surveys & Tutorials, 18(4), 2474–2492. https://doi.org/10.1109/COMST.2016.2565566.CrossRef

12.

Zhao, Z., Schellmann, M., Wang, Q., Gong, X., Boehnke, R., & Xu, W. (2015). Pulse shaped OFDM for asynchronous uplink access. In 2015 49th Asilomar conference on signals, systems and computers, Pacific Grove, CA (pp. 3–7). https://doi.org/10.1109/ACSSC.2015.7421048.

13.

Trigui,I., Siala, M., & Boujemaa, H. (2007). Optimized pulse shaping for OFDM multi-user communications over doubly dispersive channels. In 2007 9th international symposium on signal processing and its applications, Sharjah (pp. 1–4). https://doi.org/10.1109/ISSPA.2007.4555390

14.

Di, B., Song, L., Li, Y., & Li, G. Y. (2019). TCM-NOMA: joint multi-user codeword design and detection in trellis-coded modulation-based NOMA for Beyond 5G. IEEE Journal of Selected Topics in Signal Processing, 13(3), 766–780. https://doi.org/10.1109/JSTSP.2019.2899500.CrossRef

15.

Yin, Y., Peng, Y., Liu, M., Yang, J., & Gui, G. (2019). Dynamic user grouping-based NOMA over Rayleigh fading channels. IEEE Access, 7, 110964–110971. https://doi.org/10.1109/ACCESS.2019.2934111.CrossRef

16.

Yu, Y., et al. (2019). Novel NOMA system for optical communications based on OFDM/OQAM. In 2019 18th international conference on optical communications and networks (ICOCN), Huangshan, China (pp. 1–3). https://doi.org/10.1109/ICOCN.2019.8934288.

17.

Reddy, B. S. K. (2020). Experimental validation of non-orthogonal multiple access (NOMA) technique using software defined radio. Wireless Personal Communications. https://doi.org/10.1007/s11277-020-07867-1.CrossRef

18.

Huang, T. J. (2020). Theoretical analysis of NOMA within massive MIMO systems. Wireless Personal Communications, 112, 777–783. https://doi.org/10.1007/s11277-020-07073-z.CrossRef

19.

Liu, Y., Qin, Z., Elkashlan, M., Ding, Z., Nallanathan, A., & Hanzo, L. (2017). Nonorthogonal multiple access for 5G and beyond. Proceedings of the IEEE, 105(12), 2347–2381.CrossRef

20.

Ding, Z., Fan, P., & Poor, H. V. (2016). Impact of user pairing on 5G nonorthogonal multiple-access downlink transmissions. IEEE Transactions on Vehicular Technology, 65(8), 6010–6023.CrossRef

21.

Initial Views and Evaluation Results on Non-Orthogonal Multiple Access for NR, May 2016.

22.

Baig, S., Ali, U., Asif, H. M., Khan, A. A., & Mumtaz, S. (2019). Closed-form BER expression for fourier and wavelet transform-based pulse-shaped data in downlink NOMA. IEEE Communications Letters, 23(4), 592–595.CrossRef

23.

Technical Specification Group Radio Access Network; Study on Scenarios and Requirements for Next Generation Access Technologies (Release 14) V14.3.0, Jun. 2017.

24.

Yuan, Y., & Yan, C. (2018). NOMA study in 3GPP for 5G. In Proceedings of IEEE 10th international symposium on turbo codes iterative information Processing (ISTC), Hong Kong (pp. 1–5).

25.

Wu, Z., Lu, K., Jiang, C., & Shao, X. (2018). Comprehensive study and comparison on 5G NOMA schemes. IEEE Access, 6, 18511–18519.CrossRef

26.

Hossain, E., & Hasan, M. (2015). 5G cellular: Key enabling technologies and research challenges. IEEE Instrumentation and Measurement Magazine, 18(3), 11–21.CrossRef

27.

Liu, Y., Qin, Z., & Ding, Z. (2020). Non-orthogonal multiple access for massive connectivity (1st ed.). Berlin: Springer.CrossRef

28.

Kara, F., & Kaya, H. (2018). BER performances of downlink and uplink NOMA in the presence of SIC errors over fading channels. IET Communications, 12(15), 1834–1844. https://doi.org/10.1049/iet-com.2018.5278.CrossRef

29.

Nonaka, N., Kishiyama, Y., & Higuchi, K. (2014). Non-orthogonal multiple access using intra-beam superposition coding and SIC in base station cooperative MIMO cellular downlink. In 2014 IEEE 80th vehicular technology conference (VTC2014-Fall), Vancouver, BC (pp. 1–5). https://doi.org/10.1109/VTCFall.2014.6966073.

30.

Sheen, W., & Stuber, G. L. (1990). MLSE equalization and decoding for multipath-fading channels. In SBT/IEEE international symposium on telecommunications, Rio de Janeiro, Brazil (pp. 276–281). https://doi.org/10.1109/ITS.1990.175612.

31.

Zhang, Y., Peng, K., Wang, X., & Song, J. (2018). Performance analysis and code optimization of IDMA With 5G new radio LDPC code. IEEE Communications Letters, 22(8), 1552–1555. https://doi.org/10.1109/LCOMM.2018.2843347.CrossRef

32.

Zeng, J., et al. (2018). Investigation on evolving single-carrier NOMA into multi-carrier NOMA in 5G. IEEE Access, 6, 48268–48288.CrossRef

33.

Du, Y., Dong, B., Gao, P., Chen, Z., Fang, J., & Wang, S. (2016). Low-complexity LDS-CDMA detection based on dynamic factor graph. In 2016 IEEE globecom workshops (GC Wkshps), Washington, DC (pp. 1–6). https://doi.org/10.1109/GLOCOMW.2016.7848955.

34.

Hoshyar, R., Wathan, F. P., & Tafazolli, R. (2008). Novel low-density signature for synchronous CDMA systems over AWGN channel. IEEE Transactions on Signal Processing, 56(4), 1616–1626. https://doi.org/10.1109/TSP.2007.909320.MathSciNetCrossRefMATH

35.

Fang, D., Huang, Y., Ding, Z., Geraci, G., Shieh, S., & Claussen, H. (2016). Lattice partition multiple access: A new method of downlink non-orthogonal multiuser transmissions. In 2016 IEEE global communications conference (GLOBECOM), Washington, DC (pp. 1–6). https://doi.org/10.1109/GLOCOM.2016.7841947.

36.

Zhang, Z., Sun, H., & Hu, R. Q. (2017). Downlink and uplink non-orthogonal multiple access in a dense wireless network. IEEE Journal on Selected Areas in Communications, 35(12), 2771–2784. https://doi.org/10.1109/JSAC.2017.2724646.CrossRef

37.

Wei, F., & Chen, W. (2017). Low complexity iterative receiver design for sparse code multiple access. IEEE Transactions on Communications, 65(2), 621–634.CrossRef

38.

Wang, Q., Li, T., Feng, R., & Yang, C. (2019). An efficient large resource-user scale SCMA codebook design method. IEEE Communications Letters, 23(10), 1787–1790. https://doi.org/10.1109/LCOMM.2019.2929766.CrossRef

39.

Yang, L., Liu, Y., & Siu, Y. (2016). Low complexity message passing algorithm for SCMA system. IEEE Communications Letters, 20(12), 2466–2469.CrossRef

40.

Chi, Y., Liu, L., Song, G., Yuen, C., Guan, Y. L., & Li, Y. (2018). Practical MIMO-NOMA: Low complexity and capacity-approaching solution. IEEE Transactions on Wireless Communications, 17(9), 6251–6264.CrossRef

41.

Chen, S., Ren, B., Gao, Q., Kang, S., Sun, S., & Niu, K. (2016). Pattern division multiple access—A novel nonorthogonal multiple access for fifth-generation radio networks. IEEE Transactions on Vehicular Technology, 66(4), 3185–3196.CrossRef

42.

Wang, X., & Chen, Y. (2017). An effective interference mitigation scheme for downlink NOMA heterogeneous networks. In 2017 3rd IEEE international conference on computer and communications (ICCC), Chengdu (pp. 384–388). https://doi.org/10.1109/CompComm.2017.8322576.

43.

Liu, C., & Liang, D. (2018). Heterogeneous networks with power-domain NOMA: Coverage, throughput, and power allocation analysis. IEEE Transactions on Wireless Communications, 17(5), 3524–3539. https://doi.org/10.1109/TWC.2018.2816923.CrossRef

44.

Shin, W., Vaezi, M., Lee, B., Love, D. J., Lee, J., & Poor, H. V. (2017). Non-orthogonal multiple access in multi-cell networks: Theory performance and practical challenges. IEEE Communications Magazine, 55(10), 176–183.CrossRef

45.

Yapıcı, Y., Güvenç, İ, & Dai, H. (2020). Low-resolution limited-feedback NOMA for mmWave communications. IEEE Transactions on Wireless Communications, 19(8), 5433–5446. https://doi.org/10.1109/TWC.2020.2993212.CrossRef

46.

Chen, C., Zhong, W., Yang, H., & Du, P. (2018). On the performance of MIMO-NOMA-based visible light communication systems. IEEE Photonics Technology Letters, 30(4), 307–310.CrossRef

47.

Saito, Y., Kishiyama, Y., Benjebbour, A., Nakamura, T., Li, A., & Higuchi, K. (2013). Non-orthogonal multiple access (NOMA) for cellular future radio access. In Proceedings of 77th IEEE VTC-Spring (pp. 1–5).

48.

Stoica, R., De Abreu, G. T. F., Hara, T., & Ishibashi, K. (2019). Massively concurrent non-orthogonal multiple access for 5G networks and beyond. IEEE Access, 7, 82080–82100.CrossRef

49.

Zeng, M., Yadav, A., Dobre, O. A., Tsiropoulos, G. I., & Poor, H. V. (2017). Capacity comparison between MIMO-NOMA and MIMO-OMA with multiple users in a cluster. IEEE Journal on Selected Areas in Communications, 35(10), 2413–2424.CrossRef

50.

Yang, Y., Xu, J., Shi, G., & Wang, C.-X. (2018). 5G wireless systems simulation and evaluation techniques. Berlin: Springer.CrossRef

51.

Kiani, A., & Ansari, N. (2018). Edge computing aware NOMA for 5G networks. IEEE Internet of Things Journal, 5(2), 1299–1306.CrossRef

52.

Wang, C.-X., et al. (2014). Cellular architecture and key technologies for 5G wireless communication networks. IEEE Communications Magazine, 52(2), 122–130.CrossRef

53.

Li, J., Wu, X., & Laroia, R. (2013). OFDMA mobile broadband communications: A systems approach. Cambridge: Cambridge Univ. Press.CrossRef

54.

Shin, W., Vaezi, M., Lee, B., Love, D. J., Lee, J., & Poor, H. V. (2017). Coordinated beamforming for multi-cell MIMO-NOMA. IEEE Communications Letters, 21(1), 84–87.CrossRef

55.

Song, L., Li, Y., Ding, Z., & Poor, H. V. (2016). Resource management in non-orthogonal multiple access networks for 5G and beyond. https://arxiv.org/abs/1610.09465.

56.

Ding, Z., Lei, X., Karagiannidis, G. K., Schober, R., Yuan, J., & Bhargava, V. (2017). A survey on non-orthogonal multiple access for 5G networks: Research challenges and future trends. IEEE Journal on Selected Areas in Communications, 35, 2181–2195.CrossRef

57.

Ding, Z., Liu, Y., Choi, J., Sun, Q., Elkashlan, M., Chih-Lin, I., & Poor, H. V. (2017). Application of non-orthogonal multiple access in LTE and 5G networks. IEEE Communications Magazine, 55(2), 185–191.CrossRef

58.

Singh, S., Mitra, D., & Baghel, R. K. (2019). Analysis of NOMA for future cellular communication. In 2019 3rd international conference on trends in electronics and informatics (ICOEI), Tirunelveli, India, 2019, (pp. 389–395). https://doi.org/10.1109/ICOEI.2019.8862527.

Titel: A Survey on Advanced Multiple Access Techniques for 5G and Beyond Wireless Communications
verfasst von: Harshita Mathur
T. Deepa
Publikationsdatum: 31.01.2021
Verlag: Springer US
Erschienen in: Wireless Personal Communications / Ausgabe 2/2021
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-021-08115-w

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