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Dynamic time-division duplexing (TDD) enables independent uplink/downlinkmode scheduling at each cell, based on the local traffic. However, this createscross-interference among cells. Thus, the joint power allocation and schedulingproblem becomes mixed-integer non-convex and turns out to be NP-hard. Wepropose a low-complexity and decentralized solution, where power allocation andscheduling are decoupled. First, power is allocated in a decentralized fashion,and then modes are scheduled by a non-cooperative game to achieve themixed-strategy Nash equilibrium. We consider two possible approaches to computethe payoffs in the game, according to the cross-interference power model andthe entailed communication overhead among cells. Simulation results arepresented for an outdoor dense small-cell scenario, showing that our approachesoutperform static TDD significantly.

Game-Theoretic Mode Scheduling for Dynamic TDD in 5G Systems