LAUSR

Internet of Things is gaining ground in the next generation of Internet. Random access protocols such as ALOHA and its variants play an important role for the successful implementation of 5G. The framed ALOHA is not suitable for such environment due to the relatively low throughput and no guarantee on delay. In this paper, we propose a Finite Projective Plane based random access scheme, FRAM, for multimedia super real-time traffic in the coming 5G Internet. FRAM allows for high throughput by expanding the selection base such that the collisions among users are most likely to be partial. In FRAM, a user packet is sliced into sections, i.e., packet slicing, and transmitted in the time slots of a frame corresponding to the points of a set of a Finite Projective Plane. The error bits induced in a user packet of partial collisions can be removed by forward error control coding. In the performance evaluation, we compare the throughput, pseudo throughput, and probability of blackout of FRAM with those of the framed ALOHA and SIC based CRDSA. The results show that the proposed FRAM has better pseudo throughput and much lower probability of blackout over both the framed ALOHA and CRDSA depending on threshold of partial collision.