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在SBMA网络中共同优化资源分配,用户调度和分组:公共服务机构的方法
Jianjian Wu1,2,3, Chanzi Liu2,3,4, Xindi Wang5
1The School of Computer Science and Information Engineering, Hefei University of Technology, Hefei 230601, China.
Entropy (Basel, Switzerland)
|July 29, 2025
概括
一个新的基于Sparsecode和BIA的多重访问 (SBMA) 方案结合了盲干扰对齐和Sparse Code多重访问,实现了大规模的连接. 一个优化的算法显著提高了满足服务质量要求的用户数量.
科学领域:
- 无线通信系统无线通信系统
- 对于电信的信号处理.
- 网络资源管理 网络资源管理
背景情况:
- 盲干扰对齐 (BIA) 和散码多重访问 (SCMA) 实现了大规模的连接,但有局限性.
- 拟议的基于Sparsecode和BIA的多重访问 (SBMA) 方案整合了BIA和SCMA的优势,以提高性能.
- SBMA利用灵活的用户分组 (UG) 来管理稀疏的代码约束和干扰对齐,以满足各种服务质量 (QoS) 需求.
研究的目的:
- 解决SBMA系统中有效的联合资源分配 (RA),用户调度 (US) 和用户分组 (UG) 的挑战.
- 为SBMA开发一种能够优化RA,US和UG的算法,克服现有的SCMA或BIA解决方案的局限性.
- 为了最大限度地提高SBMA框架内满足 QoS 要求的用户数量.
主要方法:
- 制定SBMA作为整数优化任务的联合RA,US和UG问题.
- 开发基于粒子优化 (PSO) 的算法,具有专门的更新功能,用于联合美国和UG决策.
- 综合模拟以评估拟议的算法的性能与基于随机的方案.
主要成果:
- 拟议的基于PSO的算法显著优于SBMA系统中的基于随机的方案.
- 在特定条件下,在高SNR场景中,该算法在高SNR场景中实现了大约280%的更高用户满意度 (满足QoS要求).
- 证明了SBMA中对资源分配,用户调度和用户分组的联合优化效果.
结论:
- 开发的PSO算法为SBMA中复杂的联合RA,US和UG问题提供了有效的解决方案.
- 当SBMA与拟议的算法进行优化时,它在支持各种QoS需求的大规模连接方面提供了实质性的改进.
- 这项工作强调了为SBMA等混合访问方案量身定制的优化技术的关键需求.
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