2019/12/30 by Hossein Esmaeili, Esmaeili, Hossein, Ali Kariminezhad +3 · 1 citation
Computer Science · Engineering · #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Full-Duplex Wireless Communications #Information Theory (cs.IT) #Wireless Communication Security Techniques
paper · pdf · doi:10.48550/arxiv.1912.12831
openalex publication_date 2019/12/30 · openalex created_date 2022/07/26 · openalex updated_date 2026/07/28
Robust transceiver design against unresolvable system uncertainties is of\ncrucial importance for reliable communication. For instance, full-duplex\ncommunication suffers from such uncertainties when canceling the\nself-interference, since some residual self-interference (RSI) remains\nuncanceled due to imperfect channel knowledge. We consider a MIMO multi-hop\nsystem, where the source, the relay and the destination are equipped with\nmultiple antennas. The considered decode-and-forward (DF) hybrid relay can\noperate in either half-duplex or full-duplex mode, and the mode changes\nadaptively depending on the RSI strength. We investigate a robust transceiver\ndesign problem, which maximizes the throughput rate of the worstcase RSI under\nthe self-interference channel uncertainty bound constraint. The yielded problem\nturns out to be a non-convex optimization problem, where the non-convex\nobjective is optimized over the cone of semidefinite matrices. Without loss of\ngenerality, we simplify the problem to the optimization over multiple scalar\nparameters using majorization theory. Furthermore, we propose an efficient\nalgorithm to obtain a local optimal solution iteratively. Eventually, we obtain\ninsights on the optimal antenna allocation at the relay input-frontend and\noutput-frontend, for relay reception and transmission, respectively.\nInterestingly, given a number of antennas at the relay, the robustness improves\nif more antennas are allocated to reception than to transmission.\n