Abstract
Heterogeneous Integrated networks is an inevitable trend in the development of next-generation networks, in which a key issue that must be considered and addressed is how to enable any user to obtain QoS guaranteed services at any time and any place. In the heterogeneous integrated networks, we consider a heterogeneous network scenario with overlapping coverage of IEEE802.11b wireless access points and macrocell base stations and 5G, and we use the convex optimization method to maximize the total system capacity while effectively satisfying the minimum rate constraint of the delay-limited type and the proportional fairness of the best-effort type. The numerical results shows the performance enhancement with the bandwidth and power joint allocation can be achieved in 5G heterogeneous integrated network.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Furuskär A (September 2002) Allocation of multiple services in multi-access wireless systems. In: Proceedings of international workshop mobile wireless communication network, pp 261–265
Gong X, Vorobyov SA, Tellambura C (2011) Joint bandwidth and power allocation with admission control in wireless multi-user networks with and without relaying. IEEE Trans Signal Process 59(4):1801–1813
He L, Su X, Zeng J et al (2012) Joint resource allocation method in heterogeneous wireless networks based on genetic algorithm. In: International conference on wireless communications & signal processing (WCSP), pp 1–5
Lei L, Yuan D, Ho CK et al (2015) Joint optimization of power and channel allocation with non-orthogonal multiple access for 5G cellular systems. In: IEEE global communications conference (GLOBECOM). IEEE Press, San Diego, pp 1–6
Choi Y, Kim H et al (2010) Joint resource allocation for parallel multi-radio access in heterogeneous wireless networks. IEEE Trans Wireless Commun 9(11):3324–3329
Yang K, Martin S, Yahiya TA et al (2014) Energy-efficient resource allocation for downlink in LTE heterogeneous networks. In: IEEE conference on vehicular technology, pp 1–5
Wang Y, Wang X, Shi J (2014) A stackelberg game approach for energy efficient resource allocation and interference coordination in heterogeneous networks. In: IEEE international conference on computer and information technology, pp 694–699
Sundar RS, Kumar SN (2012) Performance improvement of heterogeneous wireless networks using modified newton method. Int J Software Eng Appl (IJSEA) 3(3):79–90
Mao J, Hu Z, Lian RR, Tian H et al (2012) Optimal resource allocation for multi-access in heterogeneous wireless networks. In: Proceedings of IEEE vehicular technology conference. Spring
Ismail M, Zhuang W (2012) A distributed multi-service resource allocation algorithm in heterogeneous wireless access medium. IEEE J Sel Areas Commun 30(2):425–432
Chen G, Hu J, Xia W et al (2012) A dynamic bandwidth allocation algorithm based on transmission rate adaptation in heterogeneous wireless networks. In: International conference on wireless communications & signal processing (WCSP), pp 1–6
Esmailpour A, Nasser N (2011) Dynamic QoS-based bandwidth allocation framework for broadband wireless networks. IEEE Trans Veh Technol 60(6):2690–2700
Hatoum A, Langar R, Aitsaadi N et al (2012) QoS-based power control and resource allocation in OFDMA femtocell networks. In: IEEE global communications conference (GLOBECOM), pp 5116–5122
Estrada R, Jarray A, Otrok H (2013) Energy-efficient resource allocation model for OFDMA macro-femtocell networks. IEEE Trans Veh Technol 62(7):3429–3437
Tai MH, Tran NH, Do CT (2015) Power control for interference management and QoS guarantee in heterogeneous networks. IEEE Commun Lett 19(8):1402–1405
Shen K, Wei Y (2014) Distributed pricing-based user association for downlink heterogeneous cellular networks. IEEE J Sel Areas Commun 32(6):1100–1113
Boyd S, Vandenberghe L (2004) Convex optimization. Cambridge University Press, Cambridge
Acknowledgements
This work is supported by the National Natural Science Foundation of China under Grant No. 61701284, 61472229, 31671588 and 61801270, the China Postdoctoral Science Foundation Funded Project under Grant No. 2017M622233, the Innovative Research Foundation of Qingdao, the Application Research Project for Postdoctoral Researchers of Qingdao, the Scientific Research Foundation of Shandong University of Science and Technology for Recruited Talents under Grant No. 2016RCJJ010, the Sci. & Tech. Development Fund of Shandong Province of China under Grant No. 2016ZDJS02A11, ZR2017BF015 and ZR2017MF027, the Taishan Scholar Climbing Program of Shandong Province, and SDUST Research Fund under Grant No. 2015TDJH102.
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Zeng, Q., Wu, Q., Chen, G. (2020). A Novel Joint Resource Allocation Algorithm in 5G Heterogeneous Integrated Networks. In: Liang, Q., Wang, W., Liu, X., Na, Z., Jia, M., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2019. Lecture Notes in Electrical Engineering, vol 571. Springer, Singapore. https://doi.org/10.1007/978-981-13-9409-6_236
Download citation
DOI: https://doi.org/10.1007/978-981-13-9409-6_236
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-13-9408-9
Online ISBN: 978-981-13-9409-6
eBook Packages: EngineeringEngineering (R0)