A promising non-orthogonal multiple access based networking architecture: Motivation, conception, and evolution
Author | Wan, Dehuan |
Author | Wen, Miaowen |
Author | Cheng, Xiang |
Author | Mumtaz, Shahid |
Author | Guizani, Mohsen |
Available date | 2022-11-10T09:47:21Z |
Publication Date | 2019 |
Publication Name | IEEE Wireless Communications |
Resource | Scopus |
Resource | 2-s2.0-85070704199 |
Abstract | Since it can offer higher spectral efficiency by granting the served data to share the same spectrum resource synchronously, NOMA is considered as a bright multiple access technique for future wireless networks. Accommodating a large number of users with NOMA mode may easily cause inappropriate power assignment problem and result in performance degradation. As a result, existing NOMA operation unit mainly focuses on the two-user scenario, where a centre user is only paired with an edge user. However, such a user pairing strategy will also introduce an unbalance to their data rate fairness. Hence, it is of great importance to develop an effective structure that facilitates low decoding complexity, high system performance, and reasonable user fairness with NOMA. To this end, this article proposes a novel NOMA operation unit, in which successive interference cancellation can be performed to accommodate an arbitrary number of users by integrating the NOMA technique with the orthogonal resource allocation strategy. The proposed NOMA operation unit can further improve the edge user's achievable rate by incorporating the index modulation technique according to the data service demanded by center users. 2019 IEEE. |
Sponsor | AcknowledgMent This work was supported in part by the National Natural Science Foundation of China under Grants 61871190, 61571020, and 61622101; in part by the Natural Science Foundation of Guangdong Province under Grant 2018B030306005; and in part by the Pearl River Nova Program of Guangzhou under Grant 201806010171. The work has also received funding from the European Union's Horizon 2020 research and innovation program under grant agreement No. 815178. |
Language | en |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Subject | Combinatorial optimization Complex networks Probability Reliability theory Resource allocation Wireless networks Complexity theory Indexes NOMA Power system reliability Resource management Signal to noise ratio |
Type | Article |
Pagination | 152-159 |
Issue Number | 5 |
Volume Number | 26 |
Files in this item
Files | Size | Format | View |
---|---|---|---|
There are no files associated with this item. |
This item appears in the following Collection(s)
-
Computer Science & Engineering [2402 items ]