Energy Efficient Scheduling and Time-Slot Sharing for Hyper-Dense D2D Networks Using mmWave

Wenson Chang, Bo Jun Yang

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

Abstract

This paper targets on improving the efficiency of the concurrent transmissions for the hyper-dense device-to-device (D2D) networks using the millimeter wave (mmWave) transmission technology. To this end, the increment of the multiple access interference is well controlled by the proposed energy-efficient (EE) power adjustment scheme. Therein, the nonlinear fractional programming technique is firstly applied to transform the nonlinear optimization problem into the linear from. Then, the transmission power of the D2D pairs is formulated as the noncooperative Game. Via the well-known Karush-Kuhn-Tucker condition, the optimal transmission power can then be decided. With the aid of the EE power adjustment, we modify the conventional vertex multi-coloring concurrent transmission scheme to accommodate more D2D pairs. The main concept is to judge the feasibility of the concurrent transmission based the increase of sum data rate rather than the individual rate. The superiority of the proposed scheme is verified by simulations in terms of the EE and data rate.

Original languageEnglish
Title of host publicationCommunications and Networking - 15th EAI International Conference, ChinaCom 2020, Proceedings
EditorsHonghao Gao, Pingyi Fan, Jun Wun, Xue Xiaoping, Jun Yu, Yi Wang
PublisherSpringer Science and Business Media Deutschland GmbH
Pages161-173
Number of pages13
ISBN (Print)9783030677190
DOIs
Publication statusPublished - 2021
Event15th EAI International Conference on Communications and Networking, ChinaCom 2020 - Shanghai, China
Duration: 2020 Nov 202020 Nov 21

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume352
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference15th EAI International Conference on Communications and Networking, ChinaCom 2020
CountryChina
CityShanghai
Period20-11-2020-11-21

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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