Vehicle-to-everything (V2X) communications are regarded as the key technology in future vehicular networks due to its ability in improving the traffic efficiency and safety, and reducing congestion. Recently, non-orthogonal multiple access (NOMA), as a promising solution in the fifth generation (5G) mobile communication systems, has drawn much attention because it can significantly improve the network throughput and lower the accessing and transmission latency to meet the requirements of many 5G-enabled applications. Noticing these, in this paper, we propose to introduce NOMA in device-to-device (D2D)-enhanced V2X networks, where D2D-enabled resource sharing based on spatial reuse for different V2X communication groups are permitted through centralized resource management. Such an enhanced NOMA-V2X architecture results in a more complicated and challenging interference scenario. In order to efficiently solve the interference management and resource allocation problem in the NOMA-V2X network, we construct a weighted 3-partite interference hypergraph to model the relationships among different communication groups. Then, based on the constructed hypergraph, we further propose an interference hypergraph-based 3-dimensional matching (IHG-3DM) resource allocation protocol with a greedy 3DM algorithm. Simulation results verify the efficiency of our proposed IHG-3DM resource allocation protocol for NOMA-V2X communications in improving the network throughput.
|Original language||English (US)|
|Title of host publication||2019 IEEE International Conference on Communications, ICC 2019 - Proceedings|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|State||Published - May 2019|
|Event||2019 IEEE International Conference on Communications, ICC 2019 - Shanghai, China|
Duration: May 20 2019 → May 24 2019
|Name||IEEE International Conference on Communications|
|Conference||2019 IEEE International Conference on Communications, ICC 2019|
|Period||5/20/19 → 5/24/19|
Bibliographical noteFunding Information:
ACKNOWLEDGEMENT This work was in part supported by the National Natural Science Foundation of China under Grants 61622101 and 61571020, and the Ministry National Key Research and Development Project under Grant 2017YFE0121400.
© 2019 IEEE.
- 3D matching
- resource allocation