scholarly journals Examination of the Non-Orthogonal Multiple Access System Using Long Short Memory Based Deep Neural Network

2021 ◽  
Author(s):  
Ravi Shankar ◽  
T. V. Ramana ◽  
Preeti Singh ◽  
Sandeep Gupta ◽  
Haider Mehraj
Keyword(s):  
Multiple Access ◽  
Short Term Memory ◽  
Noise Signal ◽  
Performance Comparison ◽  
Least Square ◽  
Detector Performance ◽  
Signal Ratio ◽  
Short Memory ◽  
Multiple Access System ◽  
Clipping Distortion

This paper investigates deep learning (DL) non-orthogonal multiple access (NOMA) receivers based on long short-term memory (LSTM) under Rayleigh fading channel circumstances. The performance comparison between the DL NOMA detector and the traditional NOMA method is established, and results have shown that the DL-based NOMA detector performance is far better in comparison with conventional NOMA detectors. Simulation curves are compared with the performance of the DL detector in terms of minimum mean square estimate (MMSE) and least square error (LSE) estimate, taking all realistic circumstances, except the cyclic prefix (CP), and clipping distortion into account. The simulation curves demonstrate that the performance of the DL-based detector is exceptionally good when it equals 1 when the noise signal ratio (SNR) is more than 15 dB, assuming that the DL method is more resilient to clipping distortion.

Impact of the learning rate and batch size on NOMA system using LSTM-based deep neural network

2021 ◽  
pp. 154851292110497
Author(s):  
Ravi Shankar ◽  
B K Sarojini ◽  
Haider Mehraj ◽  
A Suresh Kumar ◽  
Rahul Neware ◽  
...  
Keyword(s):  
Neural Network ◽  
Short Term Memory ◽  
Signal To Noise Ratio ◽  
Multipath Fading ◽  
Least Square ◽  
Batch Size ◽  
Detector Performance ◽  
Fifth Generation ◽  
Fading Parameter ◽  
Clipping Distortion

In this work, the deep learning (DL)-based fifth-generation (5G) non-orthogonal multiple access (NOMA) detector is investigated over the independent and identically distributed (i.i.d.) Nakagami- m fading channel conditions. The end-to-end system performance comparisons are given between the DL NOMA detector with the existing conventional successive interference cancelation (SIC)-based NOMA detector and from results, it has been proved that the DL NOMA detector performance is better than the convention SIC NOMA detector. In our analysis, the long-short term memory (LSTM) recurrent neural network (RNN) is employed, and the results are compared with the minimum mean square estimation (MMSE) and least square estimation (LS) detector’s performance considering all practical conditions such as multipath fading and nonlinear clipping distortion. It has been shown that with the increase in the relay to destination (RD) channel gain, the bit error rate (BER) improves. Also, with the increase in fading parameter m, the BER performance improves. The simulation curves demonstrate that when the clipping ratio (CR) is unity, the performance of the DL-based detector significantly improves as compared to the MMSE and LS detector for the signal-to-noise ratio (SNR) values greater than 15 dB and it proves that the DL technique is more robust to the nonlinear clipping distortion.

scholarly journals Optimal Multi-Antenna Transmission for the Cooperative Non-Orthogonal Multiple-Access System

2021 ◽  
Vol 11 (5) ◽  
pp. 2203
Author(s):  
Duckdong Hwang ◽  
Janghoon Yang ◽  
Sung Sik Nam ◽  
Hyoung-Kyu Song
Keyword(s):  
Interference Cancellation ◽  
Multiple Access ◽  
Average Power ◽  
Access Point ◽  
Power Performance ◽  
Multiple User ◽  
Structure Simulation ◽  
Rank One ◽  
Multiple Access System ◽  
Optimal Beamforming

We investigate the beamforming for the multi antenna cooperative non-orthogonal multiple access (NOMA) system, where an access point (AP) delivers messages for multiple user terminals (UT) with successive interference cancellation (SIC) reception method. Some UTs with multiple antennas cooperate with the AP transmission to improve the diversity and the average power performance. We formally present two optimal beamforming schemes at the AP and at the cooperative UTs. One scheme has no power limitation for the cooperative UTs, while the other one does have such limitation. We guarantee that the rank one beamformer is sufficient to achieve the optimal points so that the proposed schemes have rank one semi-definite programming (SDP) structure. Simulation results show the performance gain of the multi-antenna cooperative NOMA schemes in the sense of diversity and the average power.

Properties and achievable data rate of a cyclic prefix based imperfect reconstruction filter bank multiple access system

2016 ◽  
Vol 10 (17) ◽  
pp. 2427-2434 ◽  
Author(s):  
Jianqing Dou ◽  
Zaichen Zhang ◽  
Jian Dang ◽  
Liang Wu ◽  
Yuxin Wei ◽  
...  
Keyword(s):  
Multiple Access ◽  
Filter Bank ◽  
Data Rate ◽  
Cyclic Prefix ◽  
Access System ◽  
Reconstruction Filter ◽  
Multiple Access System ◽  
Achievable Data Rate

scholarly journals An energy-efficient and elastic optical multiple access system based on coherent interleaved frequency division multiple access

2013 ◽  
Vol 21 (10) ◽  
pp. 12282 ◽  
Author(s):  
Yuki Yoshida ◽  
Akihiro Maruta ◽  
Kenji Ishii ◽  
Yuji Akiyama ◽  
Tsuyoshi Yoshida ◽  
...  
Keyword(s):  
Energy Efficient ◽  
Multiple Access ◽  
Frequency Division ◽  
Access System ◽  
Multiple Access System
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