
Explore 5g communication using matlab with noma and orthogonal access. Analyze achievable rate, ber, and outage under fixed and dynamic power allocation and imperfect successive interference cancellation.
Explore non-orthogonal multiple access (NOMA) for 5G systems, using power-domain multiplexing and successive interference cancellation, and compare its channel capacity to orthogonal access with MATLAB examples.
an in-depth look at the achievable rates of NOMA and OMA in downlink and uplink 5G systems, with fixed power allocation and successive interference cancellation, demonstrated in matlab.
Explore the effect of imperfect successive interference cancellation on downlink rate in 5G NOMA, using Matlab simulations of two-user channels with power allocation and Rayleigh fading.
Examine fixed power allocation in a two-user noma system, with α1=0.75 and α2=0.25 minimizing BER, while no computation or channel state information is required and outage grows.
Analyze capacity limits of single-carrier sharing for up to 32 users with successive interference cancellation and power allocation using alpha coefficients in MATLAB simulations.
explains a hybrid NOMA with orthogonal multiplexing and TDMA to support four users in an 8 ms slot, using power allocation, successive interference cancellation, and Matlab-based capacity analysis.
This lecture compares fixed border and dynamic power allocation for four users in 5g downlink, using channel state information and SIC, with MATLAB outage probability analysis.
Analyze the performance and capacity of a downlink orthogonal access system using successive interference cancellation. Simulate achievable rates and outage with Matlab under fixed power and imperfect interference cancellation.
This is course is designed for under and postgraduate students associated to the electronics and communication engineering department. It has eight outlines, each outline discusses the theoretical explanation and the Matlab codes for simulating the figures that obtained through the explanation of the course. This course saves many months of hard work.
Using the Matlab program, you will learn:
1- How to estimate the channel capacity using Shannon formula?
2- How to estimate the achievable rate offered by the uplink/downlink Non-Orthogonal Multiple Access (NOMA), and Orthogonal Multiple Access (OMA) techniques?
3- How to study the effect of imperfect Successive Interference Cancellation (SIC) on the downlink NOMA rate capacity?
4- How to study the effect of the NOMA Fixed Power Allocation (FPA) on the Bit-Error-Rate (BER) performance?
5- What is the number of users that NOMA can support with respect to OMA technique?
6- What is meant by user paring in NOMA, and how to perform user paring?
7- How to perform the fixed and dynamic power allocation in NOMA, and how to validate its performance?
8- How to estimate to the BER performance of NOMA communication system over a Rayleigh fading channel?
9- How to estimate to the achievable capacity of NOMA communication system over a Rayleigh fading channel?
10- How to estimate to the outage Probability of NOMA communication system over a Rayleigh fading channel?