Heterogeneous Cellular Networks Using Wireless Backhaul: Fast Admission Control and Large System Analysis

Heterogeneous Cellular Networks Using Wireless Backhaul: Fast Admission Control and Large System Analysis
Title:
Heterogeneous Cellular Networks Using Wireless Backhaul: Fast Admission Control and Large System Analysis
Other Titles:
IEEE Journal on Selected Areas in Communications
Publication Date:
01 June 2015
Citation:
J. Zhao, T. Q. S. Quek and Z. Lei, "Heterogeneous Cellular Networks Using Wireless Backhaul: Fast Admission Control and Large System Analysis," in IEEE Journal on Selected Areas in Communications, vol. 33, no. 10, pp. 2128-2143, Oct. 2015. doi: 10.1109/JSAC.2015.2439471
Abstract:
We consider a heterogeneous cellular network with densely underlaid small cell access points (SAPs). Wireless backhaul provides the data connection from the core network to SAPs. To serve as many SAPs and their corresponding users as possible with guaranteed data rates, admission control of SAPs needs to be performed in wireless backhaul. Such a problem involves joint design of transmit beamformers, power control, and selection of SAPs. In order to tackle such a difficult problem, we apply ℓ1-relaxation and propose an iterative algorithm for the ℓ1-relaxed problem. The selection of SAPs is made based on the outputs of the iterative algorithm, and we prove such an algorithm converges locally. Furthermore, this algorithm is fast and enjoys low complexity for small-to-medium sized systems. However, its solution depends on the actual channel state information, and resuming the algorithm for each new channel realization may be unrealistic for large systems. Therefore, we make use of the random matrix theory and also propose an iterative algorithm for large systems. Such a large-system iterative algorithm can produce the asymptotically optimum solution for the $ell_1$-relaxed problem, which only requires large-scale channel coefficients irrespective of the actual channel realization. Near optimum results are achieved by our proposed algorithms in simulations.
License type:
PublisherCopyrights
Funding Info:
Description:
(c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
ISSN:
0733-8716
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