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Spectral clustering-based energy-efficient resource allocation algorithm in heterogeneous cellular ultra-dense network.

Authors :
WANG Xue
LIU Jing
SUN Jiani
ZHANG Jizhen
QIAN Zhihong
Source :
Journal on Communication / Tongxin Xuebao; Jul2021, Vol. 42 Issue 7, p162-175, 14p
Publication Year :
2021

Abstract

In order to solve problems of high power consumption, spectrum shortage and low energy efficiency in the ultra- intensive 5G mobile communication scenario, a resource allocation algorithm based on the maximum energy efficiency for the two-layer heterogeneous cellular non-orthogonal multiple access network was proposed. The original NP-hard optimization problem on the downlink communication link of ultra-dense scene was divided into two subproblem, such as frequency resource allocation and power allocation, which became a deterministic constraint optimization problem. The frequency resource allocation scheme of different user groups was obtained by using base station clustering based on the improved k-means algorithm and users grouping based on spectral clustering algorithm. The fraction of energy efficiency optimization was transformed into a solvable continuous convex optimization problem and power distribution was realized by Dinkelbach method, and the Lagrange multiplier iterative algorithm, respectively. Jointly optimize system energy efficiency in terms of base station clustering, user grouping, resource block allocation and power allocation, which minimized the inter-cluster interference and intra-cluster interference of the base station efficiently. The simulation results show that the proposed algorithm is better on energy efficiency and computational efficiency compared with existing algorithms. [ABSTRACT FROM AUTHOR]

Details

Language :
Chinese
ISSN :
1000436X
Volume :
42
Issue :
7
Database :
Complementary Index
Journal :
Journal on Communication / Tongxin Xuebao
Publication Type :
Academic Journal
Accession number :
152379754
Full Text :
https://doi.org/10.11959/j.issn.1000-436x.2021141