We need to generate random binary bits of 1024 length and do rate 1/2 convolution encoding and do the BPSK modulation and pass it through a noisy channel and decoding it with LSTM( long short term memory).
We need to get the output same as the applied input.
Medium Access Protocols involves a broader spectrum (up to 60 GHz) and will allow for
non-orthogonal techniques and most likely be OFDMA-based. Nonetheless, there is a
consensus in the literature that the orthogonal multiple access approach will not suffice
to support the massive access from a vast number of loT systems devices. That is
because grant-based communications suffer from collision rates over the random-
access channel that is as high as 10%, for less than ten active users. Moreover, the
signalling overhead involved in establishing a link is about 30- 50% of the payload size,
for messages less than 200 bits long. In terms of latency, the grant-based access
procedure in LTE-A, for example, takes around 5-8 ms in the best-case scenario. Thus,
grant-based access fails at meeting many KPIs when massive connectivity is required for
short packet transmissions. Because of this, the light-weight random access protocols
were heavily investigated over the past years. The throughput has improved in orders
of magnitude with sophisticated yet still low-complex transceiver algorithms.
In this project, we will look into whether we can adopt the advanced deep learning
technology in solving this issue, and design low-complexity transmitter and receiver to
allow multiple sensors to transmit short packets simultaneously in the network. The
student for this project should be self-motivated and willing to read the existing
literature. The student should be good at mathematics and interested in modelling
physical systems using mathematical models. The student should possess strong
programming skills in Python with the knowledge of Tensorflow or Pytorch. Critical
thinking ability, problem-solving skills, and willing to try are essential.
6 freelances font une offre moyenne de 27729 ₹ pour ce travail
Professional Mathematician and master in Matlab️ Hello , I hope you are safe and Doing well I have seen your project requirements , I am looking to discuss further with you Hope we will meet soon to discuss further Plus
Expert in Matlab, Simulink, Communication System, Signal Processing, Image Processing Artificial Intelligence. Excellent in Electrical Engg. Algorithms, OFDM, Tx, Rx, Channel, AWGN, Raleigh, PAPR, CCDF. Already done si Plus
- previous experience in such topics ; - degree stats -maths ; - eager to discuss a lot in this chat stream ;
Matlab and Mathematica, Python skilled professional with over 5 years of expertise. Can deliver on the expected lines as needed in the defined timelines. Thanks.
The student should possess strong programming skills in Python with the knowledge of Tensorflow or Pytorch. Critical thinking ability, problem-solving skills, and willing to try are essential. Assalam-o-Alaikum ⭐⭐⭐Hi Plus