Distributed User Association With Grouping in Satellite-Terrestrial Integrated Networks

被引：14

作者：

Dai, Cui-Qin ^{[1
]}

Li, Shipeng ^{[1
]}

Wu, Jinsong ^{[2
,3
]}

Chen, Qianbin ^{[4
]}

机构：

[1] Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China

[2] Guilin Univ Elect Technol, Sch Artificial Intelligence, Guilin 541004, Peoples R China

[3] Univ Chile, Dept Elect Engn, Santiago 8370451, Chile

[4] Chongqing Univ Posts & Telecommun, Engn Res Ctr Mobile Commun, Chongqing Key Lab Mobile Commun Technol, Minist Educ, Chongqing 400065, Peoples R China

来源：

IEEE INTERNET OF THINGS JOURNAL | 2022年 / 9卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Delays; Base stations; Satellites; Resource management; Heuristic algorithms; Quality of service; Multicast algorithms; Distributed user association; load balance; satellite-terrestrial integrated network (STIN); sum rate; user grouping; RESOURCE;

D O I：

10.1109/JIOT.2021.3122939

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The satellite-terrestrial integrated network (STIN) has been envisioned as an emerging architecture to provide global anytime anywhere network access, and satisfy transmission requirements of high-capacity backhaul data. However, the integration of satellite and terrestrial networks will aggravate the diversity of base stations (BSs) in backhaul delay and capacity, as well as coverage area, which makes it difficult for users with diverse requirements to access the most suitable service BS. As an effort to address the above problems, a distributed user association with grouping (DUAG) mechanism is proposed via the interaction between BSs and users to maximize the sum rate and balance the load of STIN while meeting the user's demand by user grouping. First, the transmission characteristics of terrestrial and backhaul links are analyzed after constructing a STIN model, which consists of satellite, three types of BSs, and the variety of intelligent terminals. Then, the user association problems are formulated to maximize the sum rate and balance the load of STIN via jointly considering the backhaul capacity of BSs and mobility and delay of users. Meanwhile, the DUAG mechanism is proposed to associate users with the most suitable service BSs. In DUAG, a greedy-based user association algorithm with user grouping is developed for maximizing the sum rate via giving priority to users with high data rate, and a matching algorithm with user grouping is designed for balancing the load by means of performing multiple iterations between users and BSs. Simulation results demonstrate that the proposed DUAG can maximize the sum rate and balance the load of STIN while guaranteeing the delay demand of user with the increase of user density.

引用

页码：10244 / 10256

页数：13

共 37 条

[31] Satellite Backhauling for Next Generation Cellular Networks: Challenges and Opportunities [J].