TY - GEN
T1 - RENEW
T2 - 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
AU - Doost-Mohammady, Rahman
AU - Bejarano, Oscar
AU - Zhong, Lin
AU - Cavallaro, Joseph R.
AU - Knightly, Edward
AU - Mao, Z. Morley
AU - Li, Wei Wayne
AU - Chen, Xuemin
AU - Sabharwal, Ashutosh
N1 - Funding Information:
RENEW is a technology partner to POWDER. RENEW/POWDER is part of the National Science Foundation’s PAWR program and is funded in part by NSF award CNS-1827940 and the PAWR Industry Consortium.
Publisher Copyright:
© 2018 IEEE.
PY - 2019/2/19
Y1 - 2019/2/19
N2 - Massive MIMO is one of the key technologies in 5G wireless broadband, capable of delivering substantial improvements in capacity of next-generation wireless networks. However, due to its inherent complexity, its operation, reconfiguration, and enhancement present significant challenges and risks. In this paper we present RENEW, a fully programmable and observable massive MIMO network. We present the architectural design for full programmability at every layer of the wireless stack, from the radio hardware, including PHY and MAC layer configurations, all the way up to the network core functionality using network function virtualization. We also present mechanisms to enable observability at every layer of the stack. These include various indicators in the radio and core access network, hence enabling effective monitoring, troubleshooting, and performance evaluation of the network at large.
AB - Massive MIMO is one of the key technologies in 5G wireless broadband, capable of delivering substantial improvements in capacity of next-generation wireless networks. However, due to its inherent complexity, its operation, reconfiguration, and enhancement present significant challenges and risks. In this paper we present RENEW, a fully programmable and observable massive MIMO network. We present the architectural design for full programmability at every layer of the wireless stack, from the radio hardware, including PHY and MAC layer configurations, all the way up to the network core functionality using network function virtualization. We also present mechanisms to enable observability at every layer of the stack. These include various indicators in the radio and core access network, hence enabling effective monitoring, troubleshooting, and performance evaluation of the network at large.
KW - 5G
KW - Massive MIMO
KW - open-source
KW - software defined radio
UR - http://www.scopus.com/inward/record.url?scp=85062982271&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062982271&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2018.8645391
DO - 10.1109/ACSSC.2018.8645391
M3 - Conference contribution
AN - SCOPUS:85062982271
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1654
EP - 1658
BT - Conference Record of the 52nd Asilomar Conference on Signals, Systems and Computers, ACSSC 2018
A2 - Matthews, Michael B.
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 28 October 2018 through 31 October 2018
ER -