Successive Interference Cancellation (SIC) is a powerful technique for managing interference in wireless networks, yet its optimal deployment in decentralized environments remains a challenge. This study investigates joint power and rate allocation in a two-user Gaussian interference channel incorporating SIC at the receivers. We characterize the global optimal solutions of the problem, and recognizing the limitations of centralized coordination, we introduce a novel decentralized algorithm for a symmetric channel configuration. Numerical results demonstrate that even without global Channel State Information, our proposed algorithm significantly outperforms traditional benchmarks, such as Orthogonal Access which suffers from temporal underutilization or greedy strategies that fail to exploit SIC gains.

翻译：逐次干扰消除（SIC）是一种管理无线网络干扰的有效技术，但在分散式环境下实现其最优部署仍是一大挑战。本研究探讨了包含接收端SIC的两用户高斯干扰信道中的联合功率与速率分配问题。我们刻画了该问题的全局最优解，并针对集中式协调的局限性，提出了一种适用于对称信道配置的新型分散式算法。数值结果表明，即便缺乏全局信道状态信息，所提算法仍能显著优于传统基准方法——例如因时间利用率不足而受限的正交接入策略，以及无法充分利用SIC增益的贪心策略。