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Design of Coding Domain Non-orthogonal Demodulation Based on OFDM System

In: Liss 2022

Author

Listed:
  • He Liu

    (Beijing Jiaotong University)

  • Xu Li

    (Beijing Jiaotong University)

Abstract

Orthogonal Frequency Division Multiplexing (OFDM) has been widely used in wireless communication. However, with the development of 5G, an unprecedented number of users will try to access the network, leading to frequent retransmissions, collisions and waste of resources. Reasonable use of limited wireless resources is a big challenge. Non-orthogonal multiple access (NOMA) technology which allows multiple users to share the same resources for data transmission at the same time can significantly improve the system capacity. However, the data will be aliased at receiver. So the premise of realizing non-orthogonal is how to recover the effective data of each user from the aliased signal at the receiver. Successive interference cancellation (SIC), as a non-orthogonal demodulation technology, has received great attention in the industry and academia in recent years due to its simple structure and ease of engineering implementation. In this paper, the combination of OFDM system and SIC is our key research direction. This paper focuses on the BER of each user in the non-orthogonal SIC demodulation in the coding domain. We take both synchronous and quasi-synchronous conditions into consideration, using across-slot SIC demodulation to process aliased signals in the coding domain. In addition, when quasi-synchronization occurs under the influence of interference or noise, a new frame structure is designed to improve across-slot SIC demodulation performance which copies long preamble to the end of the whole data. The simulation results show that the BER performance of across-slot SIC based on OFDM system is improved after using the new frame structure.

Suggested Citation

  • He Liu & Xu Li, 2023. "Design of Coding Domain Non-orthogonal Demodulation Based on OFDM System," Lecture Notes in Operations Research, in: Xiaopu Shang & Xiaowen Fu & Yixuan Ma & Daqing Gong & Juliang Zhang (ed.), Liss 2022, pages 279-290, Springer.
    • Handle: RePEc:spr:lnopch:978-981-99-2625-1_21
    DOI: 10.1007/978-981-99-2625-1_21
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