Dynamic time-division duplexing (TDD) enables independent uplink/downlink mode scheduling at each cell, based on the local traffic. However, this creates cross-interference among cells. Thus, the joint power allocation and scheduling problem becomes mixed-integer non-convex and turns out to be NP-hard. We propose a low-complexity and decentralized solution, where power allocation and scheduling are decoupled. First, power is allocated in a decentralized fashion, and then modes are scheduled by a non-cooperative game to achieve the mixed-strategy Nash equilibrium. We consider two possible approaches to compute the payoffs in the game, according to the cross-interference power model and the entailed communication overhead among cells. Simulation results are presented for an outdoor dense small-cell scenario, showing that our approaches outperform static TDD significantly.
翻译:动态时间分配重叠(TDD) 能够根据当地交通情况,在每间牢房进行独立的上链/下链模式的排期,但这造成各单元之间的相互干扰。 因此,联合电力分配和排期问题成为混合整数的非混凝土问题,结果发现是硬的NP。 我们提出了一个低复杂性和分散化的解决方案,其中权力分配和排期脱钩。 首先,权力分配以分散方式进行,然后通过不合作的游戏来安排模式,以实现混合战略的纳什均衡。 我们考虑两种可能的办法来计算游戏中的报酬,一种是跨干涉权力模式,另一种是细胞之间的通信管理。 模拟结果用于户外密度小细胞的情况,表明我们的方法明显优于静态TDD。