扩展计算和转发框架：不等幂、信号电平和多重线性组合
Expanding the Compute-and-Forward Framework: Unequal Powers, Signal Levels, and Multiple Linear Combinations
摘要：
计算和转发框架允许高斯网络中的每个接收器直接解码所传输消息的线性组合。然后，所得到的线性组合可以用作中继、干扰对准和其他应用的端到端通信策略。最近的努力已经证明了在发射机处采用不等功率并且在每个接收机处解码多于一个线性组合的优点。然而，这两种技术都不自然地适合计算并转发的原始公式。本文提出了一个扩展的计算和转发框架，结合了这两种可能性，并允许直观的解释信号电平。在这个框架内，最近的可验证性和最优性结果是统一和推广。
英文摘要：
The compute-and-forward framework permits each receiver in a Gaussian network to directly decode a linear combination of the transmitted messages. The resulting linear combinations can then be employed as an end-to-end communication strategy for relaying, interference alignment, and other applications. Recent efforts have demonstrated the advantages of employing unequal powers at the transmitters and decoding more than one linear combination at each receiver. However, neither of these techniques fit naturally within the original formulation of compute-and-forward. This paper proposes an expanded compute-and-forward framework that incorporates both of these possibilities and permits an intuitive interpretation in terms of signal levels. Within this framework, recent achievability and optimality results are unified and generalized.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
