Successive-Interference-Cancellation-Inspired Multi-user MIMO Detector Driven by Genetic Algorithm
[ 1 ] Instytut Radiokomunikacji, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ D ] doktorant | [ P ] pracownik
2020
rozdział w monografii naukowej / referat
angielski
- multi-user detection
- MIMO
- genetic algorithm
- optimization
- zero forcing
EN Multi-User Multiple-Input Multiple-Output (MU-MIMO) configuration is one of the most promising solutions to the fundamental problem of a telecommunication system: limited bandwidth. According to the MU-MIMO principles, different users transmit their signals concurrently at the same channel. It helps exploit channel capacity to a larger extent, but causes a harmful intra-channel interference at the same time. The receiver’s ability to combat the interference and retrieve individual users’ signals (Multi-User Detection, MUD) is a measure of the system dependability. In this paper we re-visit the solution to the MUD problem, based on the use of Genetic Algorithm (GA). The novelty of the current contribution is a re-designed method to generate the initial GA population, which improves the performance at no extra computational cost in comparison with the previous proposal.
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