Data Throughput Maximization in a Novel Hybrid TDMA-NOMA System Based on Time Allocation

EasyChair Preprint 15601

Abstract

By 2030, the number of mobile IoT connections in China will reach a scale of billions. Therefore, efficiently transmitting more data within limited time and resources has become an urgent problem to address. In this paper, we consider a novel hybrid non-orthogonal multiple access (NH-NOMA) system based on downlink transmission links with opportunistic time allocation. We develop a new hybrid non-orthogonal multiple access model based on time allocation, where the data transmitted by users in different time slots is rederived. To maximize the system’s data transmission while meeting the users’data requirements, we transform the non-convex optimization problem into a convex optimization problem, obtaining the solution to the optimization problem. Finally, simulation results demonstrated that a time allocation based hybrid multiple access system achieves higher data transmission efficiency compared to traditional orthogonal multiple access systems and time division based hybrid systems. This system effectively utilizes users with favorable channel conditions to maximize their data transmission while ensuring the basic communication needs of other users.

Keyphrases: Hybrid Non-Orthogonal Multiple Access, data throughput, non-convex optimization, opportunistic time allocation, priority service scenarios

@booklet{EasyChair:15601,
  author    = {Jun Wang and Yang Liu},
  title     = {Data Throughput Maximization in a Novel Hybrid  TDMA-NOMA System Based on Time Allocation},
  howpublished = {EasyChair Preprint 15601},
  year      = {EasyChair, 2024}}