Distributed Asynchronous Optimization Framework for the MISO Interference Channel
Distributed Asynchronous Optimization Framework for the MISO Interference Channel
We study the distributed optimization of transmit strategies in a multiple-input, single-output (MISO) interference channel (IFC). Existing distributed algorithms rely on strictly synchronized update steps by the individual users. They require a global synchronization mechanism and potentially suffer from the synchronization penalty caused by e.g., backhaul communication delays and fixed …