Open Access

ARTICLE

Cooperative Rate Splitting Transmit Design for Full-Duplex-Enabled Multiple Multicast Communication Systems

Siyi Duan¹, Mingsheng Wei^1,*, Shidang Li^1,*, Weiqiang Tan², Bencheng Yu³

1 School of Physics and Electronic Engineering, Jiangsu Normal University, Xuzhou, 221116, China
2 School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, 510006, China
3 School of Information Engineering, Xuzhou Vocational College of Industrial Technology, Xuzhou, 221140, China

* Corresponding Authors: Mingsheng Wei. Email: ; Shidang Li. Email:

(This article belongs to the Special Issue: AI-Driven Intelligent Sensor Networks: Key Enabling Theories, Architectures, Modeling, and Techniques)

Computer Modeling in Engineering & Sciences 2024, 138(1), 619-638. https://doi.org/10.32604/cmes.2023.029572

Received 27 February 2023; Accepted 24 April 2023; Issue published 22 September 2023

Abstract

This paper examines the performance of Full-Duplex Cooperative Rate Splitting (FD-CRS) with Simultaneous Wireless Information and Power Transfer (SWIPT) support in Multiple Input Single Output (MISO) networks. In a Rate Splitting Multiple Access (RSMA) multicast system with two local users and one remote user, the common data stream contains the needs of all users, and all users can decode the common data stream. Therefore, each user can receive some information that other users need, and local users with better channel conditions can use this information to further enhance the reception reliability and data rate of users with poor channel quality. Even using Cell-Center-Users (CCUs) as a cooperative relay to assist the transmission of common data can improve the average system speed. To maximize the minimum achievable rate, we optimize the beamforming vector of Base Station (BS), the common stream splitting vector, the cooperative distributed beam vector and the strong user transmission power under the power budget constraints of BS and relay devices and the service quality requirements constraints of users. Since the whole problem is not convex, we cannot solve it directly. Therefore, we propose a low complexity algorithm based on Successive Convex Approximation (SCA) technology to find the optimal solution to the problem under consideration. The simulation results show that FD C-RSMA has better gain and more powerful than FD C-NOMA, HD C-RSMA, RSMA and NOMA.

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Keywords

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