针对多小区全双工分布式天线系统（DAS），提出了高能效的资源优化分配策略。所提策略在保证用户服务质量（QoS）需求的前提下，通过联合优化上下行波束赋形因子、用户发射功率和远端天线单元（RAU）选择来最大化系统能效。首先，通过分式规划将目标函数由分数形式转化为减法形式，提出了一种迭代资源分配算法，该算法在每次迭代中都需要解决内部问题；然后，利用层次分解和连续凸逼近，将内部非凸问题转化为一系列凸优化问题迭代求解。仿真结果表明，和其他基准算法相比，提出的算法可以极大的提升能效。

In this paper, we address the problem of energy efficient resource allocation in multi-cell full-duplex distributed antenna systems (DAS). Considering the user's quality-of-service (QoS) requirements and per-RAU and per-user power constraints, we jointly optimized the uplink and downlink beamforming factors, user transmit power, and remote antenna unit (RAU) selection to maximize system energy efficiency. Firstly, the objective function is converted from fractional order form to subtraction form through fractional programming, and an iterative resource allocation algorithm is proposed, which needs to solve internal problems in each iteration. Then, using hierarchical decomposition and successive convex approximation, the internal non-convex problem is transformed into a series of iterative convex optimization problems. Simulation results show that the proposed algorithm can significantly improve energy efficiency.