University looks ten years ahead and investigates potential technologies, even though the chances of “never” using them practically are there. The product unit of a company concentrates on up to the next two years. The target year of industrial research is, say, the next five years. Importantly, academic work needs to be supported by mathematical analysis, and as a result, we may often consider semi-realistic assumptions to obtain nice mathematical derivations. In industry, however, the “reality” is of most interest, and we rely on the mathematics to support the results; we always have to verify the techniques in realistic simulations/testbeds. In particular, there are no fancy assumptions, and different aspects of the problem, such as hardware, software, standardization, and implementation cost, should be taken into account. This scenario gives you a good feeling that “I am doing something useful!” Also, such work helps you to expand your knowledge and enjoy learning.