High-rate Coded Random Access for Non-Orthogonal Multiple Access with Human Priority
Solichah Larasati, I Nyoman Apraz Ramatryana, Khoirul Anwar · 2018
Future networks of Internet of Things (IoT) involve machine and human communications, where human should be prioritized over machine in the future networks. This paper proposes a new concept of network coding scheme based on the maximum distance separable (MDS) codes. The utilization of MDS codes is motivated by the requirement of high data rate transmission with a code rate above 0.5. The MDS codes for prioritizing human are designed optimally using projected extrinsic information transfer (EXIT) chart to obtain simple optimal degree distribution and low packet-loss-rate (PLR). This paper considers coded random access (CRA) as a fundamental multiple access scheme for super-dense network. Computer simulations are performed for the proposed scheme under binary erasure channel (BEC) to model a network with possible erased packets. We found that the proposed simple optimal degree distribution for group of human and machines works well with prioritization to human indicated by low PLR and high throughput. These results are expected to be useful for future applications IoT super-dense networks.