2020/07/01 by Alessandro Brighente, Brighente, Alessandro, Jafar Mohammadi +3 · 1 citation
Engineering · Computer Science · #Wireless Communication Security Techniques #Advanced MIMO Systems Optimization #Wireless Signal Modulation Classification
paper · pdf · doi:10.48550/arxiv.2007.00306
The strict latency and reliability requirements of ultra-reliable low-latency\ncommunications (URLLC) use cases are among the main drivers in fifth generation\n(5G) network design. Link adaptation (LA) is considered to be one of the\nbottlenecks to realize URLLC. In this paper, we focus on predicting the signal\nto interference plus noise ratio at the user to enhance the LA. Motivated by\nthe fact that most of the URLLC use cases with most extreme latency and\nreliability requirements are characterized by semi-deterministic traffic, we\npropose to exploit the time correlation of the interference to compute useful\nstatistics needed to predict the interference power in the next transmission.\nThis prediction is exploited in the LA context to maximize the spectral\nefficiency while guaranteeing reliability at an arbitrary level. Numerical\nresults are compared with state of the art interference prediction techniques\nfor LA. We show that exploiting time correlation of the interference is an\nimportant enabler of URLLC.\n