TY - JOUR
T1 - Interference Cooperation based Resource Allocation in NOMA Terrestrial-Satellite Networks
AU - Zhang, Yaomin
AU - Zhang, Haijun
AU - Zhou, Huan
AU - Li, Wei
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - In this paper, an uplink non-orthogonal multiple access (NOMA) satellite-terrestrial network is investigated, where the terrestrial base stations (BSs) can simultaneously communicate with the satellite by backhaul, and user equipments (UEs) share fronthaul spectrum resource to communicate. The communication of satellite UEs is influenced by crosstier interference caused by terrestrial cellular UEs. Thus, a utility function which consists of system achieved rate and crosstier interference is build. And we aim to maximize the utility function while satisfying the constraints of the varying backhaul rate and quality of service (QoS) of UEs. The optimization problem is decomposed into AP-UE association, bandwidth assignment, and power allocation sub-problems, and solved by proposed matching algorithm and successive convex approximation (SCA) method, respectively. The simulation results show the effectiveness of the proposed algorithm.
AB - In this paper, an uplink non-orthogonal multiple access (NOMA) satellite-terrestrial network is investigated, where the terrestrial base stations (BSs) can simultaneously communicate with the satellite by backhaul, and user equipments (UEs) share fronthaul spectrum resource to communicate. The communication of satellite UEs is influenced by crosstier interference caused by terrestrial cellular UEs. Thus, a utility function which consists of system achieved rate and crosstier interference is build. And we aim to maximize the utility function while satisfying the constraints of the varying backhaul rate and quality of service (QoS) of UEs. The optimization problem is decomposed into AP-UE association, bandwidth assignment, and power allocation sub-problems, and solved by proposed matching algorithm and successive convex approximation (SCA) method, respectively. The simulation results show the effectiveness of the proposed algorithm.
KW - bandwidth allocation
KW - interference cooperation
KW - matching
KW - power optimization
KW - successive convex optimization
KW - Terrestrial-satellite networks
UR - http://www.scopus.com/inward/record.url?scp=85184628072&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM46510.2021.9685107
DO - 10.1109/GLOBECOM46510.2021.9685107
M3 - 会议文章
AN - SCOPUS:85184628072
SN - 2334-0983
JO - Proceedings - IEEE Global Communications Conference, GLOBECOM
JF - Proceedings - IEEE Global Communications Conference, GLOBECOM
T2 - 2021 IEEE Global Communications Conference, GLOBECOM 2021
Y2 - 7 December 2021 through 11 December 2021
ER -