Adaptive and multi-mode baseband systems for next generation wireless communication

System adaptivity has been studied since the mid-60s and recently there has been a surge in interest in self-adaptive systems, especially in the software engineering community, with its main application to cybernetics. In this work, we apply self-adaptivity to multi-mode baseband processing systems for 5G wireless communications to exploit channel characteristics to modify the computation of digital baseband processing subsystems for energy savings. The gains from self-adaptivity are exemplified in the design of lattice reduction aided MIMO detection and extended out to other baseband subsystems such as multi-mode FIR filters, and multi-point FFT computation.