High Capacity Spectrum Allocation for Multiple D2D Users Reusing Downlink Spectrum in LTE

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Device-to-Device (D2D) communications is regarded as an option to extricate cellular Base Stations (BSs) from heavy traffic load. With more devices using D2D communications, there is an urgent demand for more spectrum bands for D2D communications. To provide more licensed bands for D2D communications, downlink spectrum reuse is a promising way to solve this problem. In an FDD-OFDMA LTE network, discontinuous resource blocks (RBs) of downlink spectrum are allocated to the same cellular user, thus resulting in complex interference between D2D users and cellular users. In order to increase the number of D2D users in the system and to increase the capacity of D2D users, allowing RBs reuse by more D2D pairs is an effective method, which, however, may cause more complicated interference. Multiple D2D users communicate with the same RBs poses a trade-off between transmission power and D2D users data rates.To provide a high capacity and to serve more users, we propose the RICE algorithm to allocate continuous RBs to D2D pairs, by facilitating different D2D pairs to share the same RBs. Simulations show that the RICE algorithm provides the highest capacity as compared to the exclusive spectrum allocation (ESA) strategy and adaptive subcarrier allocation (ASA) algorithm.

Original languageEnglish (US)
Title of host publication2018 IEEE International Conference on Communications, ICC 2018 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538631805
DOIs
StatePublished - Jul 27 2018
Event2018 IEEE International Conference on Communications, ICC 2018 - Kansas City, United States
Duration: May 20 2018May 24 2018

Publication series

NameIEEE International Conference on Communications
Volume2018-May
ISSN (Print)1550-3607

Other

Other2018 IEEE International Conference on Communications, ICC 2018
Country/TerritoryUnited States
CityKansas City
Period5/20/185/24/18

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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