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Effective capacity-aware resource allocation for 5G ultra dense network with hybrid access mode

Authors:

Hasan Shamim,

Haibo Zhang,

Cissoko Moussa,

Kaijian LiuAuthors Info & Claims

RACS '19: Proceedings of the Conference on Research in Adaptive and Convergent Systems

Pages 224 - 229

https://doi.org/10.1145/3338840.3355666

Published: 24 September 2019 Publication History

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Abstract

In the 5G ultra dense networks, cross-tier and co-tier are seriously infected interferences. To mitigate those interferences, we propose a water-filling algorithm for sub channel and power allocation and an ant colony optimization based enhanced algorithm then heuristic algorithm to clustering small cells into disjoint clusters and allocate the sub channel and power for smallcell users (SUEs) gradually. Then, we proposed an algorithm for spectrum efficiency to meet the data rate requirements of SUEs.

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Qamar FSiddiqui MHindia MHassan RNguyen Q(2020)Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G NetworksElectronics10.3390/electronics90914169:9(1416)Online publication date: 1-Sep-2020
https://doi.org/10.3390/electronics9091416

Index Terms

Effective capacity-aware resource allocation for 5G ultra dense network with hybrid access mode
1. Networks
  1. Network components
    1. Wireless access points, base stations and infrastructure
2. Security and privacy
  1. Network security

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Published In

RACS '19: Proceedings of the Conference on Research in Adaptive and Convergent Systems

September 2019

323 pages

ISBN:9781450368438

DOI:10.1145/3338840

Conference Chair:
Chih-Cheng Hung
Kennesaw State University
,
General Chair:
Qianbin Chen
Chongqing University of Posts and Telecommunications, China
,
Program Chairs:
Xianzhong Xie
Chongqing University of Posts and Telecommunications, China
,
Christian Esposito
University of Salerno, Italy
,
Jun Huang
Chongqing University of Posts and Telecommunications, China
,
Juw Won Park
University of Louisville
,
Qinghua Zhang
Chongqing University of Posts and Telecommunications, China

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 24 September 2019

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Chongqing
National Nature Science Foundation of China
Ministry of Education in China

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RACS '19

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SIGAPP

RACS '19: International Conference on Research in Adaptive and Convergent Systems

September 24 - 27, 2019

Chongqing, China

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RACS '19 Paper Acceptance Rate 56 of 188 submissions, 30%;

Overall Acceptance Rate 393 of 1,581 submissions, 25%

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Qamar FSiddiqui MHindia MHassan RNguyen Q(2020)Issues, Challenges, and Research Trends in Spectrum Management: A Comprehensive Overview and New Vision for Designing 6G NetworksElectronics10.3390/electronics90914169:9(1416)Online publication date: 1-Sep-2020
https://doi.org/10.3390/electronics9091416

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Resource Allocation Based on Channel Sensing and Spatial Spectrum Reuse for Cognitive Femtocells

User-centric base station clustering and resource allocation for cell-edge users in 6G ultra-dense networks

Interference Coordination Based Resource Allocation in Ultra-Dense Networks

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Resource Allocation Based on Channel Sensing and Spatial Spectrum Reuse for Cognitive Femtocells

User-centric base station clustering and resource allocation for cell-edge users in 6G ultra-dense networks

Interference Coordination Based Resource Allocation in Ultra-Dense Networks

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