A Cross-Tier Cooperation Resource Allocation Approach over Ultra-Dense Heterogeneous Networks

Juan Peng, Jie Zeng, Hongzhi Zhao, Xin Su

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

In this paper, we proposed a cross-tier cooperation resource allocation (CCRA) scheme over the Ultra-dense heterogeneous network (UDHN) to improve the whole system throughput. First, we use the cooperation signal-to-interference-plus-noise ratio (SINR) threshold to classify three types of user equipments (UEs). And we use stochastic geometry to analyze the effect of the cooperation SINR threshold on the number of UEs. We focus on using the dedicated channel to decrease cross-tier interference. In order to enhance the total system throughput, an NP-hard problem is formulated. In order to reduce the computational complexity, we decompose this resource allocation problem into subcarrier allocation and power allocation and we use two algorithms to solve it. The simulation results show that the system throughput is significantly improved by using the proposed CCRA scheme in a dense environment.

Original languageEnglish
Title of host publication2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538649206
DOIs
Publication statusPublished - 2 Jul 2018
Externally publishedYes
Event2018 IEEE Globecom Workshops, GC Wkshps 2018 - Abu Dhabi, United Arab Emirates
Duration: 9 Dec 201813 Dec 2018

Publication series

Name2018 IEEE Globecom Workshops, GC Wkshps 2018 - Proceedings

Conference

Conference2018 IEEE Globecom Workshops, GC Wkshps 2018
Country/TerritoryUnited Arab Emirates
CityAbu Dhabi
Period9/12/1813/12/18

Keywords

  • Ultra-Dense HetNet (UDHN)
  • cross-tier cooperation
  • dedicated channel
  • system throughput

Fingerprint

Dive into the research topics of 'A Cross-Tier Cooperation Resource Allocation Approach over Ultra-Dense Heterogeneous Networks'. Together they form a unique fingerprint.

Cite this