Utility Maximization Based on Cross-Layer Design for Multi-Service in Macro-Femto Heterogeneous Networks

• Published in: IEEE transactions on wireless communications Vol. 12; no. 11; pp. 5607 - 5619
• Main Authors: Zhang, Xiuning, Tan, Zhenhui, Xu, Shaoyi, Tao, Cheng
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.11.2013; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Applied sciences; Cross-layer design; Design engineering; Exact sciences and technology; Frequency modulation; Interference; Macro-Femto HetNets; Macrocell networks; Mathematical analysis; Maximization; Mixed integer; Networks; Operation, maintenance, reliability; Optimization; QoS requirements; Quality of service; Routing; Signal to noise ratio; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Transmission and modulation (techniques and equipments); Utilities; utility maximization; Vectors; Wireless communication; utility maximization; Macro-Femto HetNets; Information rate; Mixed integer programming; Cross-layer design; Nonlinear problems; Information transmission; Optimization; Polynomial time; Upper bound; Simulation; Optimal solution; Cross-layer approach; Heuristic method; NP hard problem; Greedy algorithm; Deterministic approach; Service quality; QoS requirements
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2013.092313.121797

We have developed a new cross-layer scheme, which can efficiently characterize the interactions across five layers. The optimization problem is formulated, so as to maximize the weighted sum utility, subject to constraints coupling different layers. We give a mathematical characterization of these layers and formulate a mixed integer nonlinear program (MINLP) problem. The optimization problem is non-deterministic polynomial-time hard (NP-hard). In this paper, we propose a greedy-based heuristics algorithm. Simulation results show that the proposed heuristic scheme can achieve system throughput very close to the upper bound of the optimal solution in the moderate-scale network, and higher than those of the simple cross-layer design (SCLD) scheme and the no CLD scheme in the large-scale network.