MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

5G architecture allows the use of new radio alongside long-term evolution-A (LTE-Advanced) and enables cellular mobile networks to handle extraordinarily high traffic volume data. The major challenge in current uplink data transmission systems is making resource blocks (RBs) available in a continuous form and assigning them to active users in an optimum manner to improve the system's spectral efficiency. The best N-subset (BNS) minimization technique is suggested to identify the best of the best continuous chunks of RBs from the existing system bandwidth, followed by a modified recursive maximum expansion (RME) algorithm to assign RBs to users in the most optimal manner. The algorithm together is referred to as a multiuser uplink scheduler BNSRME algorithm. A constraint utility maximization problem is formulated to allocate RBs to UEs in the most optimized manner. Utility matrix is then converted into a weighted sum-rate maximization problem allowing weights to be updated adaptively based on marginal utility values. In addition, a threshold limit is considered based on the signal-to-noise ratio in the BNSRME-TH algorithm, which satisfies multiusers in terms of assigned resources and improves system performance, spectral efficiency, and throughput. This MU scheduling strategy is used in the 5G uplink non-stand-alone cellular network. The findings exhibit that the proposed multiuser algorithm increases system spectral efficiency by 31.65% in comparison with the existing opportunistic algorithms. It has been observed that the performance of the system is further increased by using the MU-MIMO framework. © 2022 John Wiley & Sons Ltd.

World University root node

School of Electronics & Communication Engineering

Engineering and Technology

Transactions on Emerging Telecommunications Technologies

Uplink transmission with multiuser scheduling in non-stand-alone cellular network using virtual MIMO system

Wireless Networks

Optimal performance of resource allocation in LTE-A for heterogeneous cellular network

School of Computer Engineering & Technology

Advances in Communication and Computational Technology

Evaluation of SC-FDMA Physical Link Using USRP

SCALABLE ARCHITECTURE FOR COMPUTATIONALLY INTENSIVE APPLICATIONS