SAURABH SRIVASTAVA
@engg.kkwagh.edu.in
Assistant Professor
K. K. Wagh Institute of Engineering Education and Research, Nashik
EDUCATION
Ph.D. (Wireless Communications)
RESEARCH, TEACHING, or OTHER INTERESTS
Multidisciplinary, Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence
Scopus Publications
Scholar Citations
Scholar h-index
Scopus Publications
Saurabh Srivastava, Prajna Parimita Dash, Deepak Kumar Rout, Dinesh Madhukar Chandwadkar, and Sunita Pandit Ugale
Elsevier BV
Saurabh Srivastava and Prajna Parimita Dash
Springer Science and Business Media LLC
Saurabh Srivastava and Prajna Parimita Dash
Elsevier BV
Saurabh Srivastava, Prajna Parimita Dash, and Sanjay Kumar
IEEE
Artificial Intelligence (AI) is likely to turn into an integral component of the next-generation Power-Domain (PD)-Non-Orthogonal Multiple Access (NOMA) systems, in which the Power Allocation (PA) plays a major role in the system performance. This paper furnishes a constellation-based approach for PA in a two-user uplink PD-NOMA system, apart from its application in simultaneous user-decoding without Successive Interference Cancellation (SIC). The formulated approach overcomes SIC-related anomalies at the receiver. The software simulations reinforce the information-theoretic results validating the methodology. The optimal PA coefficients also provide prospects for integrating AI with NOMA systems that are proposed for 5G and beyond systems.
Saurabh Srivastava and Prajna Parimita Dash
World Scientific Pub Co Pte Ltd
Fair power allocation to the users in a power domain nonorthogonal multiple access (PD-NOMA) networks is an essential aspect. In this paper, we have proposed a coefficient-scaling-based fair power allocation scheme, for a single cell multi-user PD-NOMA network. First, we have developed a model for two users with a fixed power allocation scheme, and proposed a modified strong user fair-power allocation scheme. Furthermore, this two-user scheme is extended for an ad-hoc multi-user PD-NOMA network and a coefficient-scaling-based approach for fair power allocation is proposed to address the outage issue. The performance of the proposed schemes is evaluated through bit-error-rate, sum-rate, outage, and fairness index. The simulation results reveal a remarkable increase in fairness performance of the proposed scheme, in comparison with a state-of-the-art method.
Saurabh Srivastava, Prajna Parimita Dash, and Sanjay Kumar
River Publishers
Non-orthogonal multiple access (NOMA) is intended to be used for the next generation 5G cellular networks. In this paper, the expressions for the channel capacities for symmetric and asymmetric NOMA networks have been analysed. The performance measure of user spectral efficiency and the sum-rate bounds, for the NOMA and the existing orthogonal multiple access (OMA) networks have been compared. Furthermore, analysis of user rate and capacity of NOMA network has been carried out and it is observed that the NOMA capacity region varies as a function of the power allocation factor. The corresponding models have been developed for both uplink and downlink, and simulated with MATLAB. The NOMA performance with imperfect Successive Interference Cancellation (SIC) decoding is also analysed for the downlink. It is also verified that the transmit power may be increased to counter the spectral efficiency reduction due to imperfect SIC.
Saurabh Srivastava and Prajna Parimita Dash
IEEE
The arising fifth-generation (5G) networks are being designed to provide enhanced connectivity between devices. However, the much-promoted non-orthogonal multiple access (NOMA) technology is kept out of use for the upcoming 5G networks. Few issues such as high spectral utilization and high spectral density compared to its predecessors, that restrained the application of NOMA in 5G networks, are highlighted in this paper. Integration of NOMA with some cutting-edge signal processing techniques that enhance the spectrum utilization and spectral density of the conventional NOMA schemes is also proposed, which facilitates the inclusion of NOMA for the upcoming generations, i.e., beyond 5G (B5G) and sixth-generation (6G) systems.