Non-orthogonal multiple access (NOMA) is an important technique that enables fifth-generation (5G) wireless systems to satisfy the heterogeneous requirements of enhanced fairness, huge connectivity, high performance, low latency, and high reliability. In this work, the NOMA technique for 5G wireless communication is investigated, and considering user fairness limitations, the channel capacity has been optimized. Also, bandwidth efficiency (BE) is examined and the relationship between BE and energy efficiency (EE) is derived. Simulation results show that without wasting power the near user gets preference in power allocation when the target rate is greater than 6.4 bps/Hz. Also, when the target rate 6.4 bps/Hz, the outage performance of the near user will improve and the performance of the far user will remain the same. Also, it is demonstrated that cooperative NOMA outperforms all other techniques. Simulation outcomes confirm that NOMA performs better than conventional multiple access techniques in terms of EE and BE.
HolmaHToskalaANakamuraT.5G technology: 3GPP new radio. Hoboken, NJ: John Wiley Sons, 2020.
2.
TervoOLevanenTPajukoskiK, et al. 5G new radio evolution towards sub-THz communications. In: 2020 2nd 6G wireless summit (6G SUMMIT), Levi, Finland, 2020, pp.1–6. IEEE.
3.
KumarARaghavanS. Bandwidth enhancement of substrate integrated waveguide cavity-backed bow-tie-complementary-ring-slot antenna using a shorted-via. Defence Sci J2018; 68: 197–202.
4.
JainAKAcharyaRJakharS, et al. Fifth generation (5G) wireless technology “Revolution in telecommunication”. In: 2018 second international conference on inventive communication and computational technologies (ICICCT), Coimbatore, 2018, pp.1867–1872.
5.
JiangHGuiG. A 3D massive MIMO channel model for vehicle-to-vehicle communication environments. In: Channel modeling in 5G wireless communication systems. Cham: Springer, 2020, pp.87–113.
6.
JiangHGuiG. Overview of vehicle-to-vehicle channel modeling in 5G mobile systems. In: Channel modeling in 5G wireless communication systems. Cham: Springer, 2020, pp.1–14.
7.
SaraerehOAAliAKhanI, et al. Interference analysis for vehicle-to-vehicle communications at 28 GHz. Electronics2020; 9: 262.
8.
HuangTYuanXYuanJ, et al. Optimization of data exchange in 5G vehicle-to-infrastructure edge networks. IEEE Trans Veh Technol. Epub ahead of print 3 February 2020. DOI: 10.1109/TVT.2020.2971080.
9.
VuTKBennisMDebbahM, et al. Ultra-reliable communication in 5G mmWave networks: a risk-sensitive approach. IEEE Commun Lett2018; 22: 708–711.
10.
ChenZSohrabiFYuW. Multi-cell sparse activity detection for massive random access: massive MIMO versus cooperative MIMO. IEEE Trans Wireless Commun2019; 18: 4060–4074.
11.
MaNChenJZhangP, et al. Novel 3-D irregular-shaped model for massive MIMO V2V channels in street scattering environments. IEEE Wireless Commun Lett. Epub ahead of print 8 May 2020. DOI: 10.1109/LWC.2020.2993237.
12.
BaghaniMParsaeefardSDerakhshaniM, et al. Dynamic non-orthogonal multiple access and orthogonal multiple access in 5G wireless networks. IEEE Trans Commun2019; 67: 6360–6373.
UsmanMRKhanAUsmanMA, et al. Joint non-orthogonal multiple access (NOMA) & Walsh-Hadamard transform: enhancing the receiver performance. Chin Commun2018; 15: 160–177.
16.
ShankarRMishraRK. An investigation of S-DF cooperative communication protocol over keyhole fading channel. Phys Commun2018; 29: 120–140.
17.
ShankarRMishraRK. Outage probability analysis of selective-decode and forward cooperative wireless network over time varying fading channels with node mobility and imperfect CSI condition. In: 2018 IEEE region 10 conference (TENCON 2018), Jeju, Korea (South), 28–31 October 2018, pp.0508–0513. IEEE.
18.
SachanVShankarRMishraRK. Selective decode-forward cooperative communication over Nakagami-m fading channel with channel estimation error. J Telecommun Electron Comput Eng2017; 9: 85–90.
19.
VarshneyNJagannathamAKVarshneyPK. Cognitive MIMO-RF/FSO cooperative relay communication with mobile nodes and imperfect channel state information. IEEE Trans Cognit Commun Network2018; 4: 544–555.
20.
VarshneyNPuriP. Performance analysis of decode-and-forward-based mixed MIMO-RF/FSO cooperative systems with source mobility and imperfect CSI. J Lightwave Technol2017; 35: 2070–2077.
21.
VamvakasPTsiropoulouEEPapavassiliouS.Dynamic spectrum management in 5G wireless networks: a real-life modeling approach. In: IEEE conference on computer communications (IEEE INFOCOM 2019), Paris, France, 29 April–2 May 2019, pp.2134–2142. IEEE.
22.
DunHTiberiusCCJMJanssenGJM. Positioning in a multipath channel using OFDM signals with carrier phase tracking. IEEE Access2020; 8: 13011–13028.
23.
KimSKimSChaeS, et al. Relay location considering in-band emission for OFDMA-based D2D overlay systems. In: 2017 ninth international conference on ubiquitous and future networks (ICUFN), Milan, Italy, 4–7 July 2017, pp. 528–530. IEEE.
24.
RimMGoE. Relay positions considering interference from other sub-channels in OFDMA-based D2D group-casting systems. Sensors2019; 19: 1374.
25.
LiuGChenXMaZ, et al. Full-duplex and C-RAN based multi-cell non-orthogonal multiple access over 5G wireless networks. In: 2019 IEEE international conference on communications (ICC), Shanghai, China, 20–24 May 2019, pp.1–7. IEEE.
26.
BilimMKapucuN. On the analysis of achievable rate for NOMA networks with cooperative users over shadowed fading channels. Int J Commun Syst2019. Epub 29 May 2019. DOI: 10.1002/dac.4001.
27.
AgiwalMRoyASaxenaN. Next generation 5G wireless networks: a comprehensive survey. IEEE Commun Surv Tutorial2016; 18: 1617–1655.
28.
KumarAGuptaM. A review on activities of fifth generation mobile communication system. Alexandria Eng J2018; 57: 1125–1135.
29.
IMT-2020 (5G) Promotion Group. 5G vision and requirements. Available at: http://www.imt-2020.cn (2014, accessed February 2014)
30.
YuQLiHMengW, et al. Sparse code multiple access asynchronous uplink multiuser detection algorithm. IEEE Trans Veh Technol2019; 68: 5557–5569.
31.
VaeziMDingZPoorHV (eds). Multiple access techniques for 5G wireless networks and beyond. Cham, Switzerland: Springer, 2019.
32.
MhedhbiMBoukourFE. Analysis and evaluation of pattern division multiple access technique jointed with 5G waveforms. IEEE Access2019; 7: 21826–21833.
33.
ZhouFWuYHuRQ, et al. Energy-efficient NOMA enabled heterogeneous cloud radio access networks. IEEE Network2018; 32: 152–160.
34.
FangDHuangY-CDingZ, et al. Lattice partition multiple access: a new method of downlink non-orthogonal multiuser transmissions. In: 2016 IEEE global communications conference (GLOBECOM), Washington, DC, 4–8 December 2016, pp.1–6. IEEE.
35.
HanedaKKhatunAKolmonenVM, et al. Dynamics of spatial degrees-of-freedom in MIMO mobile channels. In: 7th European conference on antennas and propagation (EuCAP), Gothenburg, Sweden, 8–12 April 2013, pp.2801–2805. IEEE.
36.
WangKLiuYDingZ, et al. User association and power allocation for multi-cell non-orthogonal multiple access networks. IEEE Trans Wireless Commun2019; 18: 5284–5298.
37.
ZhangJChih-LinILeeJ, et al. Enabling technologies for fifth-generation mobile communications. Chin J Eng2016; 2016. Article: 2847564, https://doi.org/10.1155/2016/2847564
38.
LiuGJiangD. 5G: vision and requirements for mobile communication system towards year 2020. Chin J Eng2016; 2016: Article 5974586, https://doi.org/10.1155/2016/5974586
39.
HanLLiuRWangZ, et al. Millimeter-wave MIMO-NOMA based positioning system for internet of things applications. IEEE Internet Things J. Epub ahead of print 20 May 2020. DOI: 10.1109/JIOT.2020.2995916.
40.
DuttaAK. Power domain NOMA design based on MBER criterion. In: 2019 national conference on communications (NCC), Bangalore, India, 20–23 February 2019, pp.1–5. IEEE.
41.
LiuYQinZDingZ. Non-orthogonal multiple access for massive connectivity. Cham, Switzerland: Springer International Publishing.
42.
BhardwajLMishraRKShankarR. Examination of outage probability for next generation non orthogonal multiple access scheme in uplink and downlink scenario. In: 2019 IEEE international symposium on signal processing and information technology (ISSPIT), Ajman, UAE, 10–12 December 2019, pp.1–5. IEEE.
43.
ZouWZhangFYuY, et al. Retransmission control method and apparatus in a multi-user shared access process, user equipment and storage medium. Patent Application 15/740,503, USA, 5July2018.
44.
DuanMWangPLiuX, et al. Average bit error rate performance analysis of a low density parity-check-coded orthogonal frequency-division multiplexing FSO system under Mclaga distribution considering atmospheric attenuation and pointing errors. Appl Opt2018; 19: 5505–5513.
45.
DaiXZhangZBaiB, et al. Pattern division multiple access: a new multiple access technology for 5G. IEEE Wireless Commun2018; 25: 54–60.
46.
PopovskiPNielsenJJStefanovicC, et al. Wireless access for ultra-reliable low-latency communication: Principles and building blocks. IEEE Network2018; 32: 16–23.
47.
HossainEAl-EryaniY. Large-scale NOMA: promises for massive machine-type communication. arXiv:1901.07106, 21January2019.
48.
WanLGuoZWuY, et al. 4G/5G spectrum sharing: efficient 5G deployment to serve enhanced mobile broadband and internet of things applications. IEEE Veh Technol Mag2018; 13: 28–39.
49.
DingZSchoberRFanP, et al. Simple semi-grant-free transmission strategies assisted by non-orthogonal multiple access. IEEE Trans Commun2019; 67: 4464–4478.
50.
WuF. HDTV antenna. Patent application 29/610,232, USA, 25June2019.
51.
DingZAdachiFPoorHV. The application of MIMO to non orthogonal multiple access. IEEE Trans Wireless Commun2016; 15: 537–552.
52.
DingZPoorHV. Design of massive MIMO NOMA with limited feedback. IEEE Sign Proc Lett2016; 23: 629–633.
53.
BhatiaVSwamiPSharmaS, et al. Non-orthogonal multiple access: an enabler for massive connectivity. J Indian Inst Sci2020; 100: 337–348.
54.
KizilirmakRC. Non-orthogonal multiple access (NOMA) for 5G networks, towards 5G wireless networks - a physical layer perspectiveHossein Khaleghi Bizaki IntechOpen. Epub ahead of print 14December2016. DOI: 10.5772/66048.
55.
ImGHong LeeJ. Outage probability for cooperative NOMA systems with imperfect SIC in cognitive radio networks. IEEE Commun Lett2019; 23: 692–695.
56.
BoydSBoydSPVandenbergheL.Convex optimization. New York: Cambridge University Press, 2004.
SunQHanS, I C-L, et al. On the ergodic capacity of MIMO NOMA systems. IEEE Wireless Commun Lett2015; 4: 405–408.
59.
YangZDingZFanP, et al. On the performance of non-orthogonal multiple access systems with partial channel information. IEEE Trans Commun2016; 64: 654–667.
60.
KumarAChaturvediDRaghavanS. SIW cavity-backed circularly polarized square ring slot antenna with wide axial-ratio bandwidth. AEU Int J Electron Commun2018; 94: 122–127.
61.
KumarARaghavanS. Broadband SIW cavity-backed triangular-ring-slotted antenna for Ku-band applications. AEU Int J Electron Commun2018; 87: 60–64.
