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http://dx.doi.org/10.1109/JCN.2016.000107

Adaptive Cross-Layer Resource Optimization in Heterogeneous Wireless Networks with Multi-Homing User Equipments  

Wu, Weihua (State Key Laboratory of ISN, School of Telecomm. Engineering, and also with Collaborative Innovation Center of Information Sensing and Understanding, Xidian University)
Yang, Qinghai (State Key Laboratory of ISN, School of Telecomm. Engineering, and also with Collaborative Innovation Center of Information Sensing and Understanding, Xidian University)
Li, Bingbing (State Key Laboratory of ISN, School of Telecomm. Engineering, and also with Collaborative Innovation Center of Information Sensing and Understanding, Xidian University)
Kwak, Kyung Sup (Department of Information and Communication Engineering, Inha University)
Publication Information
Journal of Communications and Networks / v.18, no.5, 2016 , pp. 784-795 More about this Journal
Abstract
In this paper, we investigate the resource allocation problem in time-varying heterogeneous wireless networks (HetNet) with multi-homing user equipments (UE). The stochastic optimization model is employed to maximize the network utility, which is defined as the difference between the HetNet's throughput and the total energy consumption cost. In harmony with the hierarchical architecture of HetNet, the problem of stochastic optimization of resource allocation is decomposed into two subproblems by the Lyapunov optimization theory, associated with the flow control in transport layer and the power allocation in physical (PHY) layer, respectively. For avoiding the signaling overhead, outdated dynamic information, and scalability issues, the distributed resource allocation method is developed for solving the two subproblems based on the primal-dual decomposition theory. After that, the adaptive resource allocation algorithm is developed to accommodate the timevarying wireless network only according to the current network state information, i.e. the queue state information (QSI) at radio access networks (RAN) and the channel state information (CSI) of RANs-UE links. The tradeoff between network utility and delay is derived, where the increase of delay is approximately linear in V and the increase of network utility is at the speed of 1/V with a control parameter V. Extensive simulations are presented to show the effectiveness of our proposed scheme.
Keywords
Cross-layer optimization; Lyapunov optimization theory; multi-homing resource allocation;
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