Residential Collegefalse
Status已發表Published
Optimal ADMM-Based Spectrum and Power Allocation for Heterogeneous Small-Cell Networks with Hybrid Energy Supplies
Qian Liping1,2; Wu Yuan3,4; Ji Bo5; Shen Xuemin Sherman6
2019-10
Source PublicationIEEE Transactions on Mobile Computing
ISSN1536-1233
Volume20Issue:2Pages:662-677
Abstract

Powering cellular networks with hybrid energy supplies is not only environment-friendly but can also reduce the on-grid energy consumption, thus being emerging as a promising solution for green networking. Intelligent management of spectrum and power can increase the network utility in cellular networks with hybrid energy supplies, usually at the cost of higher energy consumption. Unlike prior studies on either the network utility maximization or on-grid energy cost minimization, this paper studies the joint spectrum and power allocation problem that maximizes the system revenue in a heterogeneous small-cell network with hybrid energy supplies. Specifically, the system revenue is considered as the difference between the network utility and on-grid energy cost. By developing the convexity of the optimization problem through transformation and reparameterization, we propose a joint spectrum and power allocation algorithm based on the primal-dual arguments to obtain the optimal solution by iteratively solving the primal and dual sub-problems of the convex optimization problem. To solve the primal sub-problem, we further propose the Lagrangian maximization based on the alternating direction method of multipliers (ADMM), and derive the optimal solution in the closed-form expression at each iteration. It is shown that the proposed joint spectrum and power allocation algorithm approaches the global optimality at the rate of 1=n with n being the number of iterations. Also, the proposed ADMM-based Lagrangian maximization algorithm approaches the primal optimal solution with the time complexity of O(1=ε r ) iterations with ε r being the termination parameter. Simulation results show that in comparison with the power control with equal frequency allocation algorithm and frequency allocation with equal power allocation algorithms the proposed algorithm increases the system revenue by over 20 and 60 percent without consuming more on-grid energy when the proportional fairness utility and the weighted sum rate utility are considered with the approximate system parameter settings, respectively. Meanwhile, in comparison with the full frequency reuse case, the proposed algorithm increases the system revenue by 20 percent at least in terms of the weighted sum rate utility, although it achieves the similar system revenue when considering the proportional fairness utility. Simulation results also show that our proposed algorithm can perform well under the realistic fast fading channel conditions.

KeywordEnergy Cost Minimization Heterogeneous Small-cell Networks Hybrid Energy Supplies Network Utility Maximization Resource Allocation
DOI10.1109/TMC.2019.2948014
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Telecommunications
WOS IDWOS:000607805200027
PublisherIEEE COMPUTER SOC, 10662 LOS VAQUEROS CIRCLE, PO BOX 3014, LOS ALAMITOS, CA 90720-1314 USA
Scopus ID2-s2.0-85092130483
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionTHE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
Corresponding AuthorWu Yuan
Affiliation1.Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310023, Peoples R China
2.Southeast Univ, Natl Mobile Commun Res Lab, Nanjing 210096, Peoples R China
3.Univ Macau, State Key Lab Internet Things Smart City, Macau, Peoples R China
4.Univ Macau, Dept Comp & Informat Sci, Macau, Peoples R China
5.Temple Univ, Dept Comp & Informat Sci, Philadelphia, PA 19122 USA
6.Univ Waterloo, Dept Elect & Comp Engn, Waterloo, ON N2L 3G1, Canada
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Qian Liping,Wu Yuan,Ji Bo,et al. Optimal ADMM-Based Spectrum and Power Allocation for Heterogeneous Small-Cell Networks with Hybrid Energy Supplies[J]. IEEE Transactions on Mobile Computing, 2019, 20(2), 662-677.
APA Qian Liping., Wu Yuan., Ji Bo., & Shen Xuemin Sherman (2019). Optimal ADMM-Based Spectrum and Power Allocation for Heterogeneous Small-Cell Networks with Hybrid Energy Supplies. IEEE Transactions on Mobile Computing, 20(2), 662-677.
MLA Qian Liping,et al."Optimal ADMM-Based Spectrum and Power Allocation for Heterogeneous Small-Cell Networks with Hybrid Energy Supplies".IEEE Transactions on Mobile Computing 20.2(2019):662-677.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Qian Liping]'s Articles
[Wu Yuan]'s Articles
[Ji Bo]'s Articles
Baidu academic
Similar articles in Baidu academic
[Qian Liping]'s Articles
[Wu Yuan]'s Articles
[Ji Bo]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Qian Liping]'s Articles
[Wu Yuan]'s Articles
[Ji Bo]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.