Sabuj S.R.Khan, Mohammed Rabbul HossainZiad, Muhammad Omar2026-09-022026-09-022020-06-05S. R. Sabuj, M. R. H. Khan and M. O. Ziad, "An Analytical Investigation of Finite Blocklength Information Theory," 2020 IEEE Region 10 Symposium (TENSYMP), Dhaka, Bangladesh, 2020, pp. 568-571, doi: 10.1109/TENSYMP50017.2020.9230625.97817281736652-s2.0-85096412391https://hdl.handle.net/10361/29675One of the key revolutionary services that will be offered by 5G is ultra-reliable low latency communication. This will enable the development of new emerging technologies such as remote surgery and autonomous vehicles. In this paper, we have investigated the differences between Shannon theory and Finite Blocklength Information theory and evaluated their performance in various scenarios such as orthogonal multiple access, nonorthogonal multiple access, millimeter wave and beamforming. In each and every case, the Shannon model has emerged to be the better performer compared to the Finite Blocklength Information model. However, on the other hand due to two factors the result of our study was inconclusive for the Shannon model. One of these factors happen to be the probability of decoding error and the other one is Blocklength size. Our paper provides numerous results for various factors and highlights the superiority of the Shannon model over the Finite Blocklength Information model.568-571en-USfalseBeamformingFinite blocklength informationmmWaveNOMAOMAShannon capacityInformation theory.Conference Proceeding10.1109/TENSYMP50017.2020.9230625