Traditional wisdom for network resource management allocates separate frequency-time resources for measurement and data transmission tasks. As a result, the two types of tasks have to compete for resources, and a heavy measurement task inevitably reduces available resources for data transmission. This prevents interference graph estimation (IGE), a heavy yet important measurement task, from being widely used in practice. To resolve this issue, we propose to use power as a new dimension for interference measurement in full-duplex millimeter-wave backhaul networks, such that data transmission and measurement can be done simultaneously using the same frequency-time resources. Our core insight is to consider the mmWave network as a linear system, where the received power of a node is a linear combination of the channel gains. By controlling the powers of transmitters, we can find unique solutions for the channel gains of interference links and use them to estimate the interference. To accomplish resource allocation and IGE simultaneously, we jointly optimize resource allocation and IGE with power control. Extensive simulations show that significant links in the interference graph can be accurately estimated with minimal extra power consumption, independent of the time and carrier frequency offsets between nodes.

翻译：传统网络资源管理方法将测量和数据传输任务分配至独立的时频资源，导致两类任务需竞争资源，而繁重的测量任务不可避免地减少了可用于数据传输的资源。这阻碍了干扰图估计（IGE）这一重要但开销大的测量任务在实际中的广泛应用。为解决此问题，我们提出在全双工毫米波回传网络中利用功率作为干扰测量的新维度，使得数据传输和测量可在相同频时资源上同时进行。核心思路是将毫米波网络视为线性系统，其中节点的接收功率是信道增益的线性组合。通过控制发射机功率，可求解干扰链路信道增益的唯一解，并据此估计干扰。为实现资源分配与IGE的同步完成，我们联合优化资源分配与基于功率控制的IGE。大量仿真表明，在节点间时间与载波频率偏移无关的条件下，可精确估计干扰图中的关键链路，且仅需极低的额外功率消耗。