Outage-Capacity-Based Cross Layer Resource Management for Downlink NOMA-OFDMA Video Communications: Non-Deep Learning and Deep Learning Approaches

Abstract

Prior works either considered outage capacity of wireless video transmission systems but did not consider NOMA which is a key technology for 5G ultra-reliable low-latency (URLLC), or concerned the ergodic capacity of NOMA-OFDMA systems but did not consider the outage capacity emphasized in 5G URLLC scenario. In this paper, outage capacity (as well as ergodic capacity) maximization in a 5G URLLC scenario, are considered, using two proposed resource management schemes (i.e. B, C) and finally, proposed deep-learning-based versions of Schemes B and C (i.e. Schemes B' and C') to reduce the complexity and the latency for 5G URLLC. The proposed schemes re-allocate subcarrier according to outage capacityinstead of ergodic capacity only-maximization objective and choose the candidate user to gain subcarrier in a new way to improve the outage capacity. The numerical results show the proposed Scheme B and C increase the outage capacity (the percentage of satisfied users) from 79.2% for a prior work (Scheme A) to 85.2% and 92.6%, respectively. Scheme C also increases the ergodic capacity (average PSNR) from 34.7dB for Scheme A to 35.5dB. The deep learning based Schemes B' and C' perform slightly poorer than the corresponding non deep learning based Schemes B and C but the execution time/latency of Scheme B'/C' is less than Schemes B/C.

A Survey on Non-Orthogonal Multiple Access: From the Perspective of Spectral Efficiency and Energy Efficiency

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Performance analysis of an efficient linear constellation precoded generalized frequency division multiplexing with index modulation in 5G heterogeneous wireless network

“…Also, the future communication system will consider NOMA due to the allowance of two users for sharing the same carrier. This can increase the SE and obtain a trade‐off between the fairness and data transmission rate 10,11 …”

Novel Bee Colony Optimization with Update Quantities for OFDMA Resource Allocation

“…In the RA criterion, diversity gain is still an effective technical means to improve the performance of OFDMA systems. Balancing the tradeoff between the sum data rates and fairness in multiuser OFDMA systems has been widely concerned [7,8,[11][12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27][28]. Fairness has been considered in different forms, such as rate proportional fairness [11], capacity-outage fairness [27], and delay-outage fairness [28].…”