Heuristic procedure to optimize SFN with BDM-aided local service insertion

Abstract

Single frequency network (SFN) is a promising technology for broadcasting systems with the advantages of better coverage and higher spectral efficiency. However, transmitting local services with unequal contents in SFN remains to be a problem. Bit division multiplexing (BDM) enables local service insertion (LSI) by dividing the channel resources into two sub-channels at bit level, which can approach the theoretical bound of total capacity than traditional time division multiplexing (TDM) method. With BDM, the transmission of global services enjoys all SFN advantages, at the same time each local content uses the same frequency layer. The coverage ratio of global service area (GSA) and local service areas (LSAs) are limited due to interference and reception thresholds. This paper deals with the option of BDM strategy and the adaption of transmitter parameters to optimize the overall coverage performance. A metaheuristic optimization approach using genetic algorithm (GA) is proposed. The simulation and discussion are based on a realistic scenario.