TY - JOUR
T1 - Joint CCI Mitigation and Power Control for MC-DS-CDMA in LEO Satellite Networks
AU - Meng, Entong
AU - Li, Ruide
AU - Yu, Jihong
AU - Bu, Xiangyuan
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2022/9/15
Y1 - 2022/9/15
N2 - We investigate a novel downlink multicarrier direct-sequence code division multiple access (MC-DS-CDMA) resource allocation scheme in the context of low earth orbit (LEO) satellite-ground integrated networks (SGINs). In contrast to the existing MC-DS-CDMA works which mainly focus on delay-tolerant services in terrestrial networks, we consider the heterogeneous delay traffic and take the unique characteristics of LEO satellite systems into account. Specifically, we exploit the channel information, the delay requirement, the buffer state, and the visible time of users to construct a utility function and formulate the resource allocation optimization problem in presence of co-channel interferences (CCI) in LEO satellite-ground heterogeneous systems. We transform the original nonconvex optimization problem into two convex ones and use the Lagrange dual decomposition method to derive the solution. We also design an efficient algorithm dynamically scheduling subcarriers, codes, and transmission power of MC-DS-CDMA. The simulation results confirm the superiority of our work in terms of lower average delay and higher overall throughput.
AB - We investigate a novel downlink multicarrier direct-sequence code division multiple access (MC-DS-CDMA) resource allocation scheme in the context of low earth orbit (LEO) satellite-ground integrated networks (SGINs). In contrast to the existing MC-DS-CDMA works which mainly focus on delay-tolerant services in terrestrial networks, we consider the heterogeneous delay traffic and take the unique characteristics of LEO satellite systems into account. Specifically, we exploit the channel information, the delay requirement, the buffer state, and the visible time of users to construct a utility function and formulate the resource allocation optimization problem in presence of co-channel interferences (CCI) in LEO satellite-ground heterogeneous systems. We transform the original nonconvex optimization problem into two convex ones and use the Lagrange dual decomposition method to derive the solution. We also design an efficient algorithm dynamically scheduling subcarriers, codes, and transmission power of MC-DS-CDMA. The simulation results confirm the superiority of our work in terms of lower average delay and higher overall throughput.
KW - Heterogeneous delay traffic
KW - low earth orbit (LEO)
KW - multicarrier direct-sequence code division multiple access (MC-DS-CDMA)
KW - resource allocation
KW - satellite-ground integrated network (SGIN)
UR - http://www.scopus.com/inward/record.url?scp=85125720432&partnerID=8YFLogxK
U2 - 10.1109/JIOT.2022.3156376
DO - 10.1109/JIOT.2022.3156376
M3 - Article
AN - SCOPUS:85125720432
SN - 2327-4662
VL - 9
SP - 17627
EP - 17639
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 18
ER -