TY - JOUR
T1 - Rate-Splitting Multiple Access for Hierarchical HAP-LAP Networks Under Limited Fronthaul
AU - Kim, Jeongbin
AU - Jeong, Seongah
AU - Yoo, Seonghoon
AU - Son, Woong
AU - Kang, Joonhyuk
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - In this correspondence, we propose hierarchical high-altitude platform (HAP)-low-altitude platform (LAP) networks with the aim of maximizing the sum-rate of ground user equipments (UEs). The multiple aerial radio units mounted on HAPs and LAPs are managed by the central unit (CU) via constrained fronthaul links. The limitation of fronthaul capacity can be addressed through quantization, employing the network multiple-input multiple-output (MIMO) architecture. For spectral efficiency, we adopt the rate-splitting multiple access (RSMA), leveraging the advantages of both space-division multiple access (SDMA) and non-orthogonal multiple access (NOMA). To achieve this, we jointly optimize multiple-antenna rate-splitting transmission, fronthaul quantization design and UAV placement using an alternating optimization (AO) approach coupled with successive convex approximation (SCA) and the weighted minimum mean square error (WMMSE) method. Numerical results validate the superior performance of the proposed method compared to benchmark schemes, including partial optimizations or those without the assistance of LAPs.
AB - In this correspondence, we propose hierarchical high-altitude platform (HAP)-low-altitude platform (LAP) networks with the aim of maximizing the sum-rate of ground user equipments (UEs). The multiple aerial radio units mounted on HAPs and LAPs are managed by the central unit (CU) via constrained fronthaul links. The limitation of fronthaul capacity can be addressed through quantization, employing the network multiple-input multiple-output (MIMO) architecture. For spectral efficiency, we adopt the rate-splitting multiple access (RSMA), leveraging the advantages of both space-division multiple access (SDMA) and non-orthogonal multiple access (NOMA). To achieve this, we jointly optimize multiple-antenna rate-splitting transmission, fronthaul quantization design and UAV placement using an alternating optimization (AO) approach coupled with successive convex approximation (SCA) and the weighted minimum mean square error (WMMSE) method. Numerical results validate the superior performance of the proposed method compared to benchmark schemes, including partial optimizations or those without the assistance of LAPs.
KW - High-altitude platform (HAP)
KW - low-altitude platform (LAP)
KW - network multiple-input multiple-output (MIMO)
KW - rate-splitting multiple access (RSMA)
KW - unmanned aerial vehicle (UAV)
UR - https://www.scopus.com/pages/publications/105000712273
U2 - 10.1109/TVT.2025.3552053
DO - 10.1109/TVT.2025.3552053
M3 - Article
AN - SCOPUS:105000712273
SN - 0018-9545
VL - 74
SP - 13173
EP - 13178
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 8
ER -