TY - GEN
T1 - Unlicensed Spectrum for Ultra-Reliable Low-Latency Communication in Multi-tenant Environment
AU - Zaki-Hindi, Ayat
AU - Elayoubi, Salah Eddine
AU - Chahed, Tijani
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021/1/1
Y1 - 2021/1/1
N2 - We study in this paper the transport of Ultra-Reliable Low-Latency Communications (URLLC) in the presence of multiple tenants in a system composed of unlicensed and licensed spectrum, the former being shared by the tenants. Due to the stringent reliability and latency constraints of URLLC, the more expensive 5G licensed spectrum is used to serve the traffic that is not served by the unlicensed spectrum within a certain time budget. In a competitive scenario, where each tenant tries egoistically to minimize its share of the licensed spectrum, this may result in the tragedy of the commons like situation. We formulate the problem using a game-theoretic approach to model the non-cooperative multi-tenant scenario. We model the medium access of the combined unlicensed and licensed system to quantify the performance of the system, in terms of the overall probability of failure, and validate the model against simulations. We then derive the strategies that minimize individual cost functions. Our work gives insights about the existence of Nash equilibria and identify them numerically. Finally, we quantify the so-called price of anarchy, i.e., ratio of the utility yielded by the competitive setting to the outcome of a cooperative scenario.
AB - We study in this paper the transport of Ultra-Reliable Low-Latency Communications (URLLC) in the presence of multiple tenants in a system composed of unlicensed and licensed spectrum, the former being shared by the tenants. Due to the stringent reliability and latency constraints of URLLC, the more expensive 5G licensed spectrum is used to serve the traffic that is not served by the unlicensed spectrum within a certain time budget. In a competitive scenario, where each tenant tries egoistically to minimize its share of the licensed spectrum, this may result in the tragedy of the commons like situation. We formulate the problem using a game-theoretic approach to model the non-cooperative multi-tenant scenario. We model the medium access of the combined unlicensed and licensed system to quantify the performance of the system, in terms of the overall probability of failure, and validate the model against simulations. We then derive the strategies that minimize individual cost functions. Our work gives insights about the existence of Nash equilibria and identify them numerically. Finally, we quantify the so-called price of anarchy, i.e., ratio of the utility yielded by the competitive setting to the outcome of a cooperative scenario.
KW - Multi-tenant
KW - URLLC
KW - Unlicensed spectrum
U2 - 10.1007/978-3-030-87473-5_11
DO - 10.1007/978-3-030-87473-5_11
M3 - Conference contribution
AN - SCOPUS:85116377885
SN - 9783030874728
T3 - Communications in Computer and Information Science
SP - 110
EP - 124
BT - Network Games, Control and Optimization - 10th International Conference, NetGCooP 2020, Proceedings
A2 - Lasaulce, Samson
A2 - Mertikopoulos, Panayotis
A2 - Orda, Ariel
PB - Springer Science and Business Media Deutschland GmbH
T2 - 10th International Conference on Network Games, Control and Optimization, NETGCOOP 2020
Y2 - 22 September 2021 through 24 September 2021
ER -