5G waveforms and Signal Superposition in Wireless Vehicular Networks = 5G waveforms and Signal Superposition in Wireless Vehicular Networks

Wireless Vehicular Networks represent an interesting research area because of its possible future application in the automotive industries focusing on the information exchange among autonomous vehicles in urban environments. In this thesis, we first make a brief comparison between the IEEE 802.11p (First standard designed for the communications on the road) and an alternative wireless vehicular Network LTE-V (Long Term Evolution-Vehicle) that adds some extensions to the LTE standard. In both standards, the utilization of OFDM is able to counteract the doubly selectivity characterizing the vehicular environment. Unfortunately, it generates other problems as interferences among adjacent channels caused by high Out-Of-Band emissions. Moreover the channel capacity increase represents an important topic in order to get higher rates. Our proposal consists in combining three different multicarrier systems (OFDM, FBMC and UFMC) in LTE-V paradigm with the NOMA technique as multiple access technique to increase the channel capacity and reduce the interferences among different bands. The Matlab simulations put in evidence the better results for FBMC with respect to the other waveforms in terms of Bit Error Probability and the capacity enhancement due to the utilization of NOMA with SIC.