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Backhaul-Aware User Association and Resource Allocation for Energy-Constrained HetNets
KTH, School of Information and Communication Technology (ICT), Communication Systems, CoS, Radio Systems Laboratory (RS Lab).
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2017 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 66, no 1, p. 580-593, article id 7422839Article in journal (Refereed) Published
Abstract [en]

Growing attention has been paid to renewable-or hybrid-energy-powered heterogeneous networks (HetNets). In this paper, focusing on backhaul-aware joint user association and resource allocation for this type of HetNets, we formulate an online optimization problem to maximize the network utility reflecting proportional fairness. Since user association and resource allocation are tightly coupled not only on resource consumption of the base stations (BSs) but in the constraints of their available energy and backhaul as well, the closed-form solution is quite difficult to obtain. Thus, we solve the problem distributively by employing certain decomposition methods. Specifically, at first, by adopting the primal decomposition method, we decompose the original problem into a lower level resource-allocation problem for each BS and a higher level user-association problem. For the optimal resource allocation, we prove that a BS either assigns equal normalized resources or provides an equal long-term service rate to its served users. Then, the user-association problem is solved by the Lagrange dual decomposition method, and a completely distributed algorithm is developed. Moreover, applying results of the subgradient method, we demonstrate the convergence of the proposed distributed algorithm. Furthermore, to efficiently and reliably apply the proposed algorithm to the future wireless networks with an extremely dense BS deployment, we design a virtual user association and resource allocation scheme based on the software-defined networking architecture. Finally, numerical results validate the convergence of the proposed algorithm and the significant improvement on network utility, load balancing, and user fairness.

Place, publisher, year, edition, pages
IEEE Press, 2017. Vol. 66, no 1, p. 580-593, article id 7422839
Keywords [en]
Backhaul constraints, heterogeneous networks (HetNets), renewable energy, resource allocation, user association, Closed loop control systems, Heterogeneous networks, Optimization, Heterogeneous network (HetNets), Lagrange dual decompositions, Optimal resource allocation, Renewable energies, Resource allocation problem, Resource allocation schemes, User associations, Problem solving
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-201762DOI: 10.1109/TVT.2016.2533559ISI: 000394178000048Scopus ID: 2-s2.0-85009932136OAI: oai:DiVA.org:kth-201762DiVA, id: diva2:1075790
Note

Funding text: This work was supported in part by the National Natural Science Foundation of China under Grant 61174127, Grant 61573245, Grant 61521063, Grant 61221003, Grant 61273181, and Grant U1405251; by the Shanghai Municipal Science and Technology Commission under Grant 14511107903; and by the Cyber Joint Innovation Center. The work of B. Yang was supported by the Shanghai Rising-Star Program under Grant 15QA1402300 and by the SMC Award from Shanghai Jiao Tong University.

QC 20170221

Available from: 2017-02-21 Created: 2017-02-21 Last updated: 2017-11-29Bibliographically approved

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