一种分布式天线系统的最大化能源效率传输优化算法

为实现绿色通信，考虑在每个远端射频头的发送功率受限、前端链路容量受限和保证用户目标速率的情况下，研究分布式天线系统的最大化能源效率传输优化算法。受分布式前端链路容量表达式及能源效率分式形式的约束，所考虑优化问题是非凸优化问题，难以获得其最优解。针对此优化问题，通过分式规划和凸近似方法将原始非凸问题转化为凸优化问题，提出了有效的二层迭代优化算法，并理论分析证明了所提算法的收敛性。仿真结果表明，所提算法优于传统算法，且随着远端射频头调度的用户数减少，能效压缩预编码策略的能源效率增大。 

Energy Efficient Optimization Algorithm for Distributed Antenna Systems

In order to realize green communication, a transmission optimization algorithm for maximizing the system energy efficiency was studied for distributed antenna systems subject to the transmit power constraint of per remote radio head, the fronthaul capacity constraint of per fronthaul link, and the user specific rate constraint. It is difficult to obtain the optimal solution of the considered problem, which is a nonconvex problem due to the existing distributed fronthaul capacity constraint and the fractional form of the definition of energy efficiency. In order to address the optimization problem, fractional programming and successive convex approximation methods were used to transform the original problem into a convex problem. And a two layer iterative optimization algorithm was proposed. The convergence of the proposed algorithm was ensured by theoretical analysis. Simulation results reveal that the proposed algorithm outperforms conventional algorithms, and the energy efficiency of compression before precoding strategy increases as the number of scheduled users of each RRH decreases.