TY - JOUR
T1 - Non-Orthogonal Multiple Access with Wireless Caching for 5G-Enabled Vehicular Networks
AU - Gurugopinath, Sanjeev
AU - Al-Hammadi, Yousof
AU - Sofotasios, Paschalis C.
AU - Muhaidat, Sami
AU - Dobre, Octavia A.
N1 - Funding Information:
AcknowledgMent This work was supported by the Information and Communication Technology Fund and by the Khalifa University of Science and Technology Research Center on Cyber-Physical Systems and Grant no. 847066. The work of O. A. Dobre has been supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC), through its Discovery program..
Funding Information:
This work was supported by the Information and Communication Technology Fund and by the Khalifa University of Science and Technology Research Center on Cyber-Physical Systems and Grant no. 847066. The work of O. A. Dobre has been supported in part by the Natural Sciences and Engineering Research Council of Canada (NSERC), through its Discovery program..
Publisher Copyright:
© 1986-2012 IEEE.
PY - 2020/9/1
Y1 - 2020/9/1
N2 - The proliferation of connected vehicles along with the high demand for rich multimedia services constitute key challenges for the emerging 5G-enabled vehicular networks. These challenges include, but are not limited to, high spectral efficiency and low latency requirements. Recently, the integration of cache-enabled networks with NOMA has been shown to reduce the content delivery time and traffic congestion in wireless networks. Accordingly, in this article, we envisage cache-aided NOMA as a technology facilitator for 5G-enabled vehicular networks. In particular, we present a cache-aided NOMA architecture, which can address some of the aforementioned challenges in these networks. We demonstrate that the spectral efficiency gain of the proposed architecture, which depends largely on the cached contents, significantly outperforms that of conventional vehicular networks. Finally, we provide deep insights into the challenges, opportunities, and future research trends that will enable the practical realization of cache-aided NOMA in 5G-enabled vehicular networks.
AB - The proliferation of connected vehicles along with the high demand for rich multimedia services constitute key challenges for the emerging 5G-enabled vehicular networks. These challenges include, but are not limited to, high spectral efficiency and low latency requirements. Recently, the integration of cache-enabled networks with NOMA has been shown to reduce the content delivery time and traffic congestion in wireless networks. Accordingly, in this article, we envisage cache-aided NOMA as a technology facilitator for 5G-enabled vehicular networks. In particular, we present a cache-aided NOMA architecture, which can address some of the aforementioned challenges in these networks. We demonstrate that the spectral efficiency gain of the proposed architecture, which depends largely on the cached contents, significantly outperforms that of conventional vehicular networks. Finally, we provide deep insights into the challenges, opportunities, and future research trends that will enable the practical realization of cache-aided NOMA in 5G-enabled vehicular networks.
UR - http://www.scopus.com/inward/record.url?scp=85087050066&partnerID=8YFLogxK
U2 - 10.1109/MNET.011.1900564
DO - 10.1109/MNET.011.1900564
M3 - Article
AN - SCOPUS:85087050066
SN - 0890-8044
VL - 34
SP - 127
EP - 133
JO - IEEE Network
JF - IEEE Network
IS - 5
M1 - 9108992
ER -
