Multi-objective Optimization of Resource Allocation for Uplink Transmission in Two-Tier Heterogeneous Cellular Networks
With the rapid development of Internet of Things, spectrum efficiency (SE) and energy efficiency (EE) become two key indicators for the future green cellular networks, but it is hard to balance the tradeoff when maximizing them simultaneously. This paper consider the uplink resource allocation probl...
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| Vydané v: | 2019 IEEE International Conference on Smart Internet of Things (SmartIoT) s. 275 - 282 |
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01.08.2019
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| Abstract | With the rapid development of Internet of Things, spectrum efficiency (SE) and energy efficiency (EE) become two key indicators for the future green cellular networks, but it is hard to balance the tradeoff when maximizing them simultaneously. This paper consider the uplink resource allocation problem of a two-tier heterogeneous cellular network whose macrocell base staion (MBS) and femtocell access points (FAPs) are operating under a shared spectrum scenario. Unlike traditional researches that use the Lagrangian dual method to convert a multi-objective optimization problem into a single-objective optimization problem by a weighted parameter, we propose a multi-objective memetic algorithm(MOMA) termed as MOMA_JUACAPA to achieve good balance in the EE-SE tradeoff subject to the quality-of-service (QoS) constraints for user equipments(UEs), and then the user association, the spectrum allocation and the power allocation are jointly optimized. What's more, a novel hybrid coding and two local search strategies are designed in the MOMA_JUACAPA to accelerate the speed of convergence and improve the distributivity meanwhile. The experimental results show that the performance of the MOMA_JUACAPA algorithm is better than the traditional NSGA-II in the EE and the SE, and the longest intercept method is adopted to get a knee point from the Pareto Front, which is considered as the best equilibrium solution among the whole Pareto-optimal set. |
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| AbstractList | With the rapid development of Internet of Things, spectrum efficiency (SE) and energy efficiency (EE) become two key indicators for the future green cellular networks, but it is hard to balance the tradeoff when maximizing them simultaneously. This paper consider the uplink resource allocation problem of a two-tier heterogeneous cellular network whose macrocell base staion (MBS) and femtocell access points (FAPs) are operating under a shared spectrum scenario. Unlike traditional researches that use the Lagrangian dual method to convert a multi-objective optimization problem into a single-objective optimization problem by a weighted parameter, we propose a multi-objective memetic algorithm(MOMA) termed as MOMA_JUACAPA to achieve good balance in the EE-SE tradeoff subject to the quality-of-service (QoS) constraints for user equipments(UEs), and then the user association, the spectrum allocation and the power allocation are jointly optimized. What's more, a novel hybrid coding and two local search strategies are designed in the MOMA_JUACAPA to accelerate the speed of convergence and improve the distributivity meanwhile. The experimental results show that the performance of the MOMA_JUACAPA algorithm is better than the traditional NSGA-II in the EE and the SE, and the longest intercept method is adopted to get a knee point from the Pareto Front, which is considered as the best equilibrium solution among the whole Pareto-optimal set. |
| Author | Liu, Haolin Cao, Xianxian Wang, Jianhui Pei, Tingrui Deng, Qingyong |
| Author_xml | – sequence: 1 givenname: Jianhui surname: Wang fullname: Wang, Jianhui organization: Xiangtan University – sequence: 2 givenname: Haolin surname: Liu fullname: Liu, Haolin organization: Xiangtan University – sequence: 3 givenname: Xianxian surname: Cao fullname: Cao, Xianxian organization: Xiangtan University – sequence: 4 givenname: Qingyong surname: Deng fullname: Deng, Qingyong organization: Xiangtan University – sequence: 5 givenname: Tingrui surname: Pei fullname: Pei, Tingrui organization: Xiangtan University |
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| Snippet | With the rapid development of Internet of Things, spectrum efficiency (SE) and energy efficiency (EE) become two key indicators for the future green cellular... |
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| StartPage | 275 |
| SubjectTerms | Energy efficiency Internet of Things Manganese Multi-objective optimization Optimization Pareto-optimal Spectrum efficiency |
| Title | Multi-objective Optimization of Resource Allocation for Uplink Transmission in Two-Tier Heterogeneous Cellular Networks |
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