Non-Orthogonal Multiple Access (Noma) Technique In 5G Communication System And Comparison With Ofdm
In this paper, we explore the concept of non-orthogonal multiple access (NOMA) scheme for the future radio access for 5G. We provide the fundamentals of the technique for both downlink and uplink channels and then discuss optimizing the network capacity under fairness constraints. We further discuss the impacts of imperfect receivers on the performance of NOMA networks. Finally, we discuss the spectral efficiency (SE) of the networks that employ NOMA with its relations with energy effic?ency (EE). We demonstrate that the networks with NOMA outperform other multiple access schemes in terms of sum capacity, EE and SE, BER. Also the comparison between OFDM and NOMA. Non-Orthogonal Multiple Access (Noma) Technique In 5G Communication System And Comparison With Ofdm
Non Orthogonal Multiple Access (NOMA) is a candidate multiple access scheme for 5G. The fact that NOMA allows multiple users to transmit and receive simultaneously using the same frequency may appear intriguing. The two key operations that make NOMA possible are superposition coding which must be done at the transmitter side and successive interference cancellation (also known as SIC) at the receiver side. In this post we will see about superposition coding. Up to the latest PTM system in the 3GPP Long Term Evolution (LTE), orthogonal multiplexing (OM) methods are used to combine the different types of services in one channel. This paper studies the capacity benefits of using power-based non-orthogonal multiplexing (PNOM) technology in 5G-MBMS. For LTE/5G systems delivering broadcast and multicast services, using P-NOM offers a solution to significantly increase the cell capacity for broadcast services, while providing broadcast services with required quality of service.
EXISTING SYSTEM AND DISADVANTAGE
- The existing LTE networks are based on the orthogonal multiple access (OMA), the limited spectrum resources have not been fully and efficiently utilized, severe data congestion and low access efficiency cannot be avoided in dense networks.
- This paper studies the capacity benefits of using power-based non-orthogonal multiple Access (NOMA) technology in 5G-MBMS. For LTE/5G systems delivering broadcast and multicast services, using NOMA offers a solution to significantly increase the cell capacity for broadcast services, while providing broadcast services with required quality of service.
- NOMA technology, on the other hand, can provide significant capacity enhancement as compared to the orthogonal multiplexing (OM) technology used in the current LTE feMBMS system, when delivering multiple services with different quality of service (QoS) requirements. P-NOM provides significantly higher capacity while delivering robust mobile services and high date rate fixed services using the same TV channel.
- NOMA could yield even higher capacity benefit for delivering mixed multicast and broadcast services. However, the benefit was illustrated only conceptually by the link capacity for individual user equipment (UE) with specific reception conditions. However, commercial implementation would take some time to materialize, due to the complexity required by both the additional signal processing at receivers and a more complicated scheduling mechanism
- We consider orthogonal frequency division multiplexing (OFDM) as the modulation scheme and NOMA as the multiple access scheme. In conventional 4G networks, as natural extension of OFDM, orthogonal frequency division multiple access (OFDMA) is used where information for each user is assigned to a subset of subcarriers. In NOMA, on the other hand, all of the subcarriers can be used by each user. The spectrum sharing for OFDMA and NOMA for two user concept applies both uplink and downlink transmission
- The millimeter-wave supports wide bandwidth, and the short wavelength of it enables the miniaturization of antennas. Therefore, millimeter-wave based mobile communication systems can be equipped with more antennas in the same space as long-term evolution (LTE) base stations. However, short wavelengths can cause high path loss and a low signal-to-noise ratio (SNR).
MATLAB 2018 and above
 Q. Sun, S. Han, C.-L. I, and Z. Pan, ?On the Ergodic Capacity of MIMO NOMA Systems,? IEEE Wireless Communications.? vol. 4, no. 4, pp. 405?408, 2015.
 Y. Saito et al, System Level Performance Evaluation of Downlink Non-Orthogonal Multiple Access (NOMA), in Proceedings of IEEE Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Sept. 2013.
 Y. Saito et al, Non-Orthogonal Multiple Access (NOMA) for Future Radio Access, in Proceedings of IEEE Vehicular Technology Conference (VTC Spring), pp. 1?5, Sept. 2013.
 Jain, Raj, Dah-Ming Chiu, and William R. Hawe. A Quantitative Measure of Fairness and Discrimination for Resource Allocation in Shared Computer System. Vol. 38. Hudson, MA: Eastern Research Laboratory, Digital Equipment Corporation, 1984. pp. 20?21.
 J.G. Andrews and T.H. Meng, Optimum Power Control for Successive Interference Cancellation with Imperfect Channel Estimation, IEEE Trans. Wireless Comm., vol. 2, no. 2, pp. 375?383, 2003.
 C. Xiong, G.Y.Li, S. Zhang, Y.Chen, and S. Xu, 2011. Energy-and Spectral ?ffic?ency Tradeoff in Downlink OFDMA Networks. IEEE transactions on wireless communications, 10(11), pp.3874?3886.
? I. Chih-Lin, C. Rowell, S. Han, Z. Xu, G. Li, and Z. Pan, Toward Green and Soft: A 5G Perspective, IEEE Communications Magazine, vol. 52, no. 2, pp. 66?73, 2014.
 Z. Ding, F. Adachi, and H. V. Poor, The Application of MIMO to Non-Orthogonal Multiple Access, IEEE Trans. Wireless Commun., vol. 15, no. 1, pp. 537?552, 2016.
 Z. Ding and H. V. Poor, ?Design of Massive-MIMO-NOMA with Limited Feedback,? IEEE Signal Processing? vol. 23, no. 5, pp. 629?633, 2016.