Sum-rate maximization of SCMA in multi-gateway satellite communication with on-board processing

IF 2.2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Physical Communication Pub Date : 2025-04-01 Epub Date: 2025-01-20 DOI:10.1016/j.phycom.2025.102613
Yuan Gao , Yuming Zhang , Yanliang Jin , Da-Kui Wu , Wenrui Yang
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Abstract

Satellite communication is anticipated to play a crucial role in 6G networks by providing widespread coverage. Given the limited spectrum and the extensive connectivity requirements of satellite communication, Sparse Code Multiple Access (SCMA) compared to orthogonal multiple access techniques such as Orthogonal Frequency Division Multiplexing (OFDM), allows more users to be accommodated within the same frequency resources. Although SCMA is a promising access technology that has been extensively studied in terrestrial communication but has seen limited application in satellite systems, particularly in multi-gateway satellite communication systems. This is due to the more complex interference management required in multi-gateway satellite systems, which includes both intra-gateway and inter-gateway interference. This paper focuses on the sum-rate optimization of a multi-gateway satellite communication system utilizing SCMA, comparing it with OFDM and Power Domain Non-Orthogonal Multiple Access (PD-NOMA) schemes. Specifically, we propose a phased optimization strategy that integrates SCMA with satellite on-board processing(OBP). Additionally, we examine the effect of imperfect Channel State Information at the Transmitter (CSIT) on the system’s sum-rate when gateways cannot acquire perfect CSIT. The simulation results demonstrate that the SCMA-based multi-gateway scheme can accommodate more users compared to OFDM but also achieves a higher system sum-rate compared to OFDM and PD-NOMA. These findings highlight the potential of SCMA in multi-gateway satellite communication systems. As the optimization variables are progressively refined, the system’s sum-rate improves, demonstrating the value of these variables, particularly when satellite OBP is utilized.
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星载处理下多网关卫星通信中SCMA的和速率最大化
通过提供广泛的覆盖,卫星通信预计将在6G网络中发挥关键作用。鉴于卫星通信的有限频谱和广泛的连接要求,与正交多址技术(如正交频分复用(OFDM))相比,稀疏码多址(SCMA)允许在相同的频率资源内容纳更多的用户。虽然SCMA是一种很有前途的接入技术,在地面通信中得到了广泛的研究,但在卫星系统,特别是在多网关卫星通信系统中的应用有限。这是由于多网关卫星系统需要更复杂的干扰管理,其中包括网关内和网关间干扰。本文重点研究了基于SCMA的多网关卫星通信系统的和速率优化,并将其与OFDM和功率域非正交多址(PD-NOMA)通信方案进行了比较。具体而言,我们提出了一种将SCMA与卫星星载处理(OBP)相结合的阶段优化策略。此外,我们还研究了当网关无法获得完美的信道状态信息时,发送端信道状态信息不完美对系统求和速率的影响。仿真结果表明,与OFDM和PD-NOMA相比,基于scma的多网关方案可以容纳更多的用户,而且系统和速率也更高。这些发现突出了SCMA在多网关卫星通信系统中的潜力。随着优化变量的逐步细化,系统的和速率提高,证明了这些变量的价值,特别是当使用卫星OBP时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Physical Communication
Physical Communication ENGINEERING, ELECTRICAL & ELECTRONICTELECO-TELECOMMUNICATIONS
CiteScore
5.00
自引率
9.10%
发文量
212
审稿时长
55 days
期刊介绍: PHYCOM: Physical Communication is an international and archival journal providing complete coverage of all topics of interest to those involved in all aspects of physical layer communications. Theoretical research contributions presenting new techniques, concepts or analyses, applied contributions reporting on experiences and experiments, and tutorials are published. Topics of interest include but are not limited to: Physical layer issues of Wireless Local Area Networks, WiMAX, Wireless Mesh Networks, Sensor and Ad Hoc Networks, PCS Systems; Radio access protocols and algorithms for the physical layer; Spread Spectrum Communications; Channel Modeling; Detection and Estimation; Modulation and Coding; Multiplexing and Carrier Techniques; Broadband Wireless Communications; Wireless Personal Communications; Multi-user Detection; Signal Separation and Interference rejection: Multimedia Communications over Wireless; DSP Applications to Wireless Systems; Experimental and Prototype Results; Multiple Access Techniques; Space-time Processing; Synchronization Techniques; Error Control Techniques; Cryptography; Software Radios; Tracking; Resource Allocation and Inference Management; Multi-rate and Multi-carrier Communications; Cross layer Design and Optimization; Propagation and Channel Characterization; OFDM Systems; MIMO Systems; Ultra-Wideband Communications; Cognitive Radio System Architectures; Platforms and Hardware Implementations for the Support of Cognitive, Radio Systems; Cognitive Radio Resource Management and Dynamic Spectrum Sharing.
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