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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Prasad, N. Arslan, M. Rangarajan, S. |
| Copyright Year | 2014 |
| Description | Author affiliation: NEC Labs. America, Princeton, NJ, USA (Prasad, N.; Arslan, M.; Rangarajan, S.) |
| Abstract | We consider the problem of maximizing the proportional fairness (PF) utility over heterogeneous wireless networks (HetNets) by jointly exploiting cell dormancy (cell ON-OFF) - wherein some transmission nodes from a set of interest are made inactive - and load balancing (user association) - wherein users are associated to the active transmission nodes in that set with each user being associated with only one node. We establish that this joint optimization problem which is a discrete optimization problem, is strongly NP-hard. Nevertheless, we prove that the load balancing sub-problem for any given set of active transmission nodes is not NP-hard but instead can be re-formulated as an asymmetric assignment problem and hence can be optimally solved in an efficient manner. In addition, we propose another lower complexity greedy algorithm for the load balancing sub-problem which offers a near-optimal average-case performance and a worst-case performance guarantee. We then propose a low-complexity algorithm for the joint optimization problem. Simulations over an example LTE HetNet topology reveal the superior performance of the proposed algorithms and underscore the significant benefits of jointly exploiting cell dormancy and load balancing. |
| Starting Page | 1916 |
| Ending Page | 1921 |
| File Size | 157258 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479920037 |
| DOI | 10.1109/ICC.2014.6883603 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-06-10 |
| Publisher Place | Australia |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Load management Niobium Joints Fading Optimization Approximation methods Approximation algorithms |
| Content Type | Text |
| Resource Type | Article |
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