IRS-assisted D2D system resource allocation and RCG beamforming optimization in H-CRAN

Intelligent reflecting surface（IRS）-assisted device-to-device（D2D） communications in heterogeneous cloud radio access network（H-CRAN） were investigated as research background. Resource allocation and Riemannian conjugate gradient（RCG） beamforming optimization were studied, with the objective of syst...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Dianxin Kexue Jg. 40; H. 7; S. 76 - 87
Hauptverfasser: Xu, Xiaorong, Xue, Jishou, Wu, Jun, Bao, Jianrong
Format: Journal Article
Sprache:Chinesisch
Veröffentlicht: Bejing China International Book Trading 01.07.2024
Beijing Xintong Media Co., Ltd
Schlagworte:
Algorithms
Beamforming
Conjugate gradient method
Constraints
device-to-device communications
heterogeneous cloud radio access network
intelligent reflecting surface
Linear programming
Mixed integer
Nonlinear programming
Optimization
Reconfigurable intelligent surfaces
Reflectance
Resource allocation
Riemannian conjugate gradient
successive convex approximation
ISSN:1000-0801
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:Intelligent reflecting surface（IRS）-assisted device-to-device（D2D） communications in heterogeneous cloud radio access network（H-CRAN） were investigated as research background. Resource allocation and Riemannian conjugate gradient（RCG） beamforming optimization were studied, with the objective of system sum rate maximization. System sum rate was formulated as the optimization objective, which was subject to several constraint conditions such as sub-channel reuse coefficient, transmit power threshold, as well as the modulus of the IRS reflection coefficient. To solve the formulated mixed-integer non-linear programming problem, a channel-strength-based deferred acceptance algorithm was proposed to obtain channel reuse indicators. The problem was then decomposed into two subproblems. For transmit power optimization subproblem, successive convex approximation（SCA） was used to solve it. For IRS beamforming optimization subproblem, the beamforming vector constraint was transformed into a complex circular manifold and
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1000-0801