TY - GEN
T1 - Optimal Entanglement Distribution using Satellite Based Quantum Networks
AU - Panigrahy, Nitish K.
AU - Dhara, Prajit
AU - Towsley, Don
AU - Guha, Saikat
AU - Tassiulas, Leandros
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Recent technological advancements in satellite based quantum communication has made it a promising technology for realizing global scale quantum networks. Due to better loss distance scaling compared to ground based fiber communication, satellite quantum communication can distribute high quality quantum entanglements among ground stations that are geographically separated at very long distances. This work focuses on optimal distribution of bipartite entanglements to a set of pair of ground stations using a constellation of orbiting satellites. In particular, we characterize the optimal satellite-to-ground station transmission scheduling policy with respect to the aggregate entanglement distribution rate subject to various resource constraints at the satellites and ground stations. We cast the optimal transmission scheduling problem as an integer linear programming problem and solve it efficiently for some specific scenarios. Our framework can also be used as a benchmark tool to measure the performance of other potential transmission scheduling policies.
AB - Recent technological advancements in satellite based quantum communication has made it a promising technology for realizing global scale quantum networks. Due to better loss distance scaling compared to ground based fiber communication, satellite quantum communication can distribute high quality quantum entanglements among ground stations that are geographically separated at very long distances. This work focuses on optimal distribution of bipartite entanglements to a set of pair of ground stations using a constellation of orbiting satellites. In particular, we characterize the optimal satellite-to-ground station transmission scheduling policy with respect to the aggregate entanglement distribution rate subject to various resource constraints at the satellites and ground stations. We cast the optimal transmission scheduling problem as an integer linear programming problem and solve it efficiently for some specific scenarios. Our framework can also be used as a benchmark tool to measure the performance of other potential transmission scheduling policies.
UR - http://www.scopus.com/inward/record.url?scp=85133902572&partnerID=8YFLogxK
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U2 - 10.1109/INFOCOMWKSHPS54753.2022.9798300
DO - 10.1109/INFOCOMWKSHPS54753.2022.9798300
M3 - Conference contribution
AN - SCOPUS:85133902572
T3 - INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops
BT - INFOCOM WKSHPS 2022 - IEEE Conference on Computer Communications Workshops
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2022
Y2 - 2 May 2022 through 5 May 2022
ER -