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在基于分布式天线的频谱共享系统(DSSS)中,信道分配和天线选择优化是提升系统性能的重要手段。为了有效控制资源优化的系统开销,研究基于大尺度信道状态信息的联合信道分配和天线选择方法。以次用户的和速率为优化目标建立了优化问题模型,通过变量松弛将整数规划问题转化为线性规划问题求解,降低了复杂度。仿真结果表明:仅仅依靠大尺度信道状态信息仍能够显著提升系统的和速率性能。在实际应用中,系统开销严格受限,该方法为折中系统开销与性能增益提供了有效途径。
In distributed antenna based spectrum sharing system (DSSS), channel allocation and antenna selection optimization are important means to improve system performance. In order to effectively control the system overhead of resource optimization, the joint channel allocation and antenna selection method based on large-scale channel state information are studied. The optimization problem model is established based on the sum-of-users rate and the integer programming problem is transformed into the linear programming problem by variable relaxation, which reduces the complexity. Simulation results show that relying on large-scale channel state information can still significantly improve the system’s rate performance. In practical applications, the system overhead is strictly limited. This method provides an effective way to compromise system overhead and performance gain.