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

Abstract

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.

Implementing intelligent‐based sparse channel estimation in Multi User‐Multiple Input Multiple Output‐Orthogonal Frequency Division Multiplexing system with hybridized optimization algorithm

“…More number of users benefit from the MIMO‐OFDM and hence, providing sufficient management among the huge number of users is a critical issue. Accurate channel estimation in MIMO 2627 systems is needed at the receiver based on interference cancelation and coherent demodulation. For each subcarrier, the numbers of transmitter and receiver links are individually determined to support multi‐users in the MIMO system and this makes system overhead during the estimation of channels.…”