A Cross-Layer Optimization Framework for Index-Coded NOMA in Cache-Aided F-RANs

This paper studies cached-aided multicast transmissions in fronthaul fog radio access networks (F-RANs). While index coding and cached-aided non-orthogonal multiple access (NOMA) are techniques commonly used for utilizing cache contents to save transmit energy, there is a lack of general framework t...

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Bibliographic Details
Published inIEEE transactions on communications Vol. 70; no. 11; p. 1
Main Authors Guo, Yongna, Sung, Chi Wan, Mostafa, Salwa, Zou, Jun
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
cached-aided NOMA
Caching
Coding
Encoding
energy minimization
Heuristic algorithms
index coding
Indexes
Libraries
NOMA
NOMA pairing
Non-orthogonal multiple access
Nonorthogonal multiple access
Optimization
Receivers
Space allocation
superposition coding
Wireless communication
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ISSN0090-6778
1558-0857
DOI10.1109/TCOMM.2022.3205955

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Summary:This paper studies cached-aided multicast transmissions in fronthaul fog radio access networks (F-RANs). While index coding and cached-aided non-orthogonal multiple access (NOMA) are techniques commonly used for utilizing cache contents to save transmit energy, there is a lack of general framework to integrate them. This work proposes index-coded NOMA and dynamic coded-NOMA to investigate energy performance of the integration of index coding and NOMA under whole-file and subfile caching, respectively. Besides, dynamic cache space allocation is applied to both caching schemes, which allocates cache sizes to the fog access points (F-APs) according to their large-scale channel conditions. For index-coded NOMA, the general grouping problem is proved to be NP-hard and optimal solutions for some special cases are given. Furthermore, efficient heuristic grouping algorithms are proposed. For dynamic coded-NOMA, we obtain the closed-form minimum transmit energy. The numerical results validate the good performance of our proposed algorithms. Index-coded NOMA and dynamic coded-NOMA have comparable performance and both of them save much energy than the existing schemes. When there are 12 F-APs under small-cache scenarios, index-coded NOMA saves energy by 70.3% compared to traditional NOMA.
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ISSN:0090-6778
1558-0857
DOI:10.1109/TCOMM.2022.3205955