Abstract
Next-generation wireless networks require higher spectral efficiency and lower latency to meet the demands of various upcoming applications. Recently, non-orthogonal multiple access (NOMA) schemes are introduced in the literature for 5G and beyond. Various forms of NOMA are considered like power domain, code domain, pattern division multiple access, etc. to enhance the spectral efficiency of wireless networks. In this chapter, we introduce the code domain-based sparse code multiple access (SCMA) NOMA scheme to enhance the spectral efficiency of a wireless network. The design and detection of an SCMA system are analyzed in this chapter. Also, the method for codebooks design and its impact on system performance are highlighted. A hybrid multiple access scheme is also introduced using both code-domain and power-domain NOMA. Furthermore, simulation results are included to show the impact of various SCMA system parameters.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Orthogonal time slots or frequency bands or codes are referred to as orthogonal resource in the system.
- 2.
Only a few elements in a signal are non-zeros as compared to the total number of elements.
References
Al-Nahhal I, Dobre OA, Basar E, Ikki S (2019) Low-cost uplink sparse code multiple access for spatial modulation. IEEE Trans Veh Technol 68(9):9313–9317
Dai J, Niu K, Dong C, Lin J (2017) Improved message passing algorithms for sparse code multiple access. IEEE Trans Veh Technol 5(11):9986–9999
Dai X, Zhang Z, Bai B, Chen S, Sun S (2018) Pattern division multiple access: a new multiple access technology for 5G. IEEE Wirel Commun 25(2):54–60
Ding Z, Lei X, Karagiannidis GK, Schober R, Yuan J, Bhargava VK (2017) A survey on non-orthogonal multiple access for 5G networks: research challenges and future trends. IEEE J Sel Areas Commun 35(10):2181–2195
Forney GD, Wei LF (1989) Multidimensional constellations. I. Introduction, figures of merit, and generalized cross constellations. IEEE J Sel Area Commun 7(6):877–892
Khan WU, Yu Z, Yu S, Sidhu GAS, Liu J (2018) Efficient power allocation in downlink multi-cell multi-user NOMA networks. IET Commun 13(4):396–402
Nikopour H, Baligh H (2013) Sparse code multiple access. In: IEEE 24th international symposium on personal indoor and mobile radio communications (PIMRC), pp 332–336
Pan Z, Luo J, Lei J, Wen L, Tang C (2018) Uplink spatial modulation SCMA system. IEEE Commun Lett 23(1):184–187
Sergienko B, Klimentyev VP (2016) SCMA detection with channel estimation error and resource block diversity. In: IEEE international Siberian conference on control and communications, pp 1–5
Sharma S, Deka K, Bhatia V, Gupta A (2018) SCMA codebook based on optimization of mutual information and shaping gain. In: IEEE Globecom workshops (GC Wkshps), pp 1–6
Sharma S, Deka K, Bhatia V (2019a) Joint power-domain and SCMA-based NOMA system for downlink in 5G and beyond. IEEE Commun Lett 23(6):971–974
Sharma S, Deka K, Hong Y (2019b) User activity detection-based large SCMA system for uplink grant-free access. In: IEEE international conference on communications workshops (ICC workshops), pp 1–6
Yan C, Kang G, Zhang N (2017) A dimension distance-based SCMA codebook design. IEEE Access 5:5471–5479
Yan C, Zhang N, Kang G (2018) Downlink multiple input multiple output mixed sparse code multiple access for 5G system. IEEE Access 6:20837–20847
Yang P, Xiao Y, Xiao M, Ma Z (2019) NOMA-aided precoded spatial modulation for downlink MIMO transmissions. IEEE J Sel Top Sig Process 13(3):729–738
Yu L, Lei X, Fan P, Chen D (2015) An optimized design of SCMA codebook based on star-QAM signaling constellations. In: IEEE international conference on wireless communications and signal processing (WCSP), pp 1–5
Yu L, Fan P, Cai D, Ma Z (2018) Design and analysis of SCMA codebook based on star-QAM signaling constellations. IEEE Trans Veh Technol 67(11):10543–10553
Yuan W, Wu N, Guo Q, Li Y, Xing C, Kuang J (2018) Iterative receivers for downlink MIMO-SCMA: message passing and distributed cooperative detection. IEEE Trans Wireless Commun 17(5):3444–3458
Zhang S, Xiao K, Xiao B, Chen Z, Xia B, Chen D, Ma S (2016) A capacity-based codebook design method for sparse code multiple access systems. In: IEEE international conference on wireless communications and signal processing (WCSP), pp 1–5
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Sharma, S., Deka, K. (2021). Sparse Code and Hybrid Multiple Access Techniques. In: Mandloi, M., Gurjar, D., Pattanayak, P., Nguyen, H. (eds) 5G and Beyond Wireless Systems. Springer Series in Wireless Technology. Springer, Singapore. https://doi.org/10.1007/978-981-15-6390-4_5
Download citation
DOI: https://doi.org/10.1007/978-981-15-6390-4_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-6389-8
Online ISBN: 978-981-15-6390-4
eBook Packages: EngineeringEngineering (R0)