Abstract
“5G (Fifth Generation) network promises Enhanced Mobile Communications (EMC), Massive Machine Type Communications (MMTC) and Ultra-Reliable Low Latency ygCommunications (URLLC)”. For enhancing communication, resource allocation is a crucial factor that guarantees the partitioning of channels into resource blocks, which were allocated to diverse users. Different methods have been introduced for improving resource scheduling however, they do not reach the optimum solution. This work aims to scrutinize the resource allocation problems in the “hybrid multi-carrier non-orthogonal multiple access (MC-NOMA) systems” that comprise the OMA and NOMA modes. It is used to achieve the EE and SE trade-off with minimal rate requirements of users. In addition, the total degree of freedom includes “user clustering, power allocation, choice of Multiple Access (MA) modes, and subcarrier assignment as well”. Accordingly, the optimization concept is integrated that offers the most noteworthy way of resolving multi-objective issues. In this context, resource allocation with power allotment is considered a vital factor, which is determined as a single-objective issue. Thereby this paper ensures the optimal allocation of power and subcarriers by a novel algorithm termed as Dragon Levy-based Lion Cub Generation Model (DL-LCG). Finally, the presented model is evaluated over existing models regarding cost analysis
Published Version
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