Robustness in Nonorthogonal Multiple Access 5G Networks

Conventional orthogonal frequency division multiple access (OFDMA) burst construction methods can only support limited numbers of connections due to the map overhead and corresponding limitations in the numbers of orthogonal resources blocks, which limits the capacity of current 4G and the following 5th generation (5G) networks. This study therefore provides a novel OFDMA burst construction algorithm and enhanced burst indexing aware algorithm (EHA), which try to maximize the throughput while considering the subchannel diversity and optimizing burst indexing issues. The EHA not only allocates the subchannels with the best channel quality for each burst, but also groups the bursts to alleviate the MAP overhead. Simulation results showed that the EHA yields two times the throughput that has been achieved using previous algorithms under a heavy load. Two contributions of the EHA are: (1) the overhead of burst indexing decreases because massive numbers of connections can be accommodated by one burst; and (2) the overall throughput increases due to that one connection with large data transferring requirements can be split and distributed into several bursts and placed on the subchannels with good channel quality to adopt better modulation coding scheme (MCS), if the saved bandwidth in this burst construction is more than the increased overhead of burst indexing.

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Nonorthogonal Multiple Access for Visible Light Communications: Complementary Technology Enabling High Data Rate Services for 5G Networks

10.5339/qfarc.2018.ictpd504 ◽

2018 ◽

Author(s):

Galymzhan Nauryzbayev ◽

Mohamed Abdallah

Keyword(s):

Visible Light ◽

Multiple Access ◽

Data Rate ◽

High Data Rate ◽

Visible Light Communications ◽

5G Networks ◽

High Data

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A Survey on Non-Orthogonal Multiple Access for 5G Networks: Research Challenges and Future Trends

IEEE Journal on Selected Areas in Communications ◽

10.1109/jsac.2017.2725519 ◽

2017 ◽

Vol 35 (10) ◽

pp. 2181-2195 ◽

Cited By ~ 701

Author(s):

Zhiguo Ding ◽

Xianfu Lei ◽

George K. Karagiannidis ◽

Robert Schober ◽

Jinhong Yuan ◽

...

Keyword(s):

Multiple Access ◽

Future Trends ◽

5G Networks ◽

Research Challenges

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Performance of Non-Orthogonal Multiple Access (NOMA) in mmWave wireless communications for 5G networks

2017 International Conference on Computing, Networking and Communications (ICNC) ◽

10.1109/iccnc.2017.7876265 ◽

2017 ◽

Cited By ~ 9

Author(s):

Andrea S. Marcano ◽

Henrik L. Christiansen

Keyword(s):

Wireless Communications ◽

Multiple Access ◽

5G Networks

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Extreme Learning Machine (ELM) for Fast User Clustering in Downlink Non-Orthogonal Multiple Access (NOMA) 5G Networks

IEEE Access ◽

10.1109/access.2021.3114619 ◽

2021 ◽

Vol 9 ◽

pp. 130884-130894

Author(s):

S. Prabha Kumaresan ◽

Chee Keong Tan ◽

Yin Hoe Ng

Keyword(s):

Extreme Learning Machine ◽

Multiple Access ◽

5G Networks ◽

User Clustering ◽

Learning Machine

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Code Domain Non- Orthogonal Multiple Access Schemes for 5G and Beyond Communication Networks: A Review

Journal of Engineering Research ◽

10.36909/jer.10875 ◽

2021 ◽

Author(s):

Aasheesh Shukla ◽

◽

Manish Kumar ◽

Vinay Kumar Deolia ◽

◽

...

Keyword(s):

Communication Networks ◽

Multiple Access ◽

Heterogeneous Data ◽

Data Traffic ◽

5G Networks ◽

Comprehensive Overview ◽

Power Domain ◽

Rate Splitting ◽

Code Domain ◽

Multiple Access Schemes

Future communication networks may encounter various issues in order to facilitate heavy heterogeneous data traffic and large number of users, therefore more advanced multiple access (MA) schemes are being developed to meet the changing requirements. The research space on making more robust MA scheme is continuously increasing, so it becomes significant to analyze the various schemes to determine the appropriate MA scheme for 5G networks. Therefore, in this paper the comprehensive overview of the most popular and recent MA schemes is presented for 5G networks. This paper mainly classifies the MA techniques in orthogonal MA (OMA) and various types of non-OMA (NOMA) techniques. Specifically, we introduce RSMA (Rate splitting multiple access) and IDMA (interleave division multiple access). Further the close attention is paid to NOMA family, including code-domain NOMA (e.g., SCMA (sparse code multiple access)), power-domain NOMA. Above all, from this exploration, the opportunities and challenges could be notified in MA schemes and further the optimum MA technique can be point out among discussed MA schemes for 5G and beyond communication networks.

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