Computer Sciences and Information Technology
Title : | Mathematical Modeling and Analysis of 5G NOMA Cellular Systems |
Area of research : | Computer Sciences and Information Technology |
Focus area : | Theoretical Sciences |
Principal Investigator : | Dr. Mandha Damodaran Selvaraj, Indian Institute Of Information Technology, Design And Manufacturing, Kancheepuram, Tamil Nadu |
Timeline Start Year : | 2023 |
Timeline End Year : | 2026 |
Contact info : | selvaraj@iiitdm.ac.in |
Details
Executive Summary : | Non-Orthogonal Multiple Access (NOMA) methodology can be utilized to meet 5G network requirements such as increased throughput, heterogeneous connectivity, and a large number of devices by applying efficient interference cancellation and signal detection algorithms. Space Shift Keying (SSK) is a recent multiple-input multiple-output (MIMO) modulation scheme where information is conveyed by the index of the activated antenna. An advantage of SSK transmitter is that it requires only one radio frequency (RF) chain. To achieve transmit diversity in such single RF chain two antenna transmitter, modulation is dynamically changed between SSK and a modified form of binary phase shift keying (BPSK) based on channel condition in Dynamic SSK-BPSK (DSB). DSB achieves second order transmit diversity which is attributed to the statistical independence of sum and difference of independent and identically distributed (i.i.d.) complex Gaussian channel vectors. In order to study the impact of correlated and non-identically distributed channel vectors on the transmit diversity of DSB, we consider transmitter correlated non-identical Rayleigh fading in this work. For this system, we plan to derive the bit error rate (BER) expression of DSB and the probability of using BPSK in DSB for the NOMA based 5G systems. Extensive simulations are required to compute/validate these mathematical expressions which will be done with the help of high computational power workstations. |
Total Budget (INR): | 6,60,000 |
Organizations involved