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Energy Efficiency Optimization Based on eICIC for Wireless Heterogeneous Networks
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DOI：10.1109/JIOT.2019.2936499.png)
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摘要
En 中文
To solve the problem of load imbalance and system interference in heterogeneous networks (HetNets), an energy efficiency (EE) optimized strategy based on enhanced intercell interference coordination (eICIC) technology is proposed. The optimization of the EE of the system is established by taking into account four components which are the connection between the users and base stations (BSs), almost blank subframe (ABS) ratio, resource allocation in the frequency domain, and the power transmission of the macro BSs (MBSs). In our optimized strategy, the user's optimal BS connection status are determined according to the overall EE change of the system, and the allocation of subframes and resource blocks of the MBSs both in the time domain and frequency domain are optimized, respectively. We use the Gauss-Seidel method to iteratively solve the optimization problem. Simulation results show that the optimized strategy outperforms other solutions in terms of EE and user fairness in average. The proposed optimization strategy increases the system EE by 24.2% and 19.1%, respectively, when compared with the maximal reference signal received power (MAX-RSRP) and the low power-ABS (LP-ABS) strategies. The Jain fairness index of our proposed optimization strategy is averagely increased by 33.8% and 23.4%, respectively. In addition, the proposed strategy can further improve the user satisfaction and the performance in the system.
Keyword:
Almost blank subframe (ABS)
energy efficiency (EE)
enhanced intercell interference coordination (eICIC)
heterogeneous networks (HetNets)
optimization
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8.9
论文数:
1.4W
被引数:
7.8W
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引用论文
Applying Distributed Constraint Optimization Approach to the User Association Problem in Heterogeneous Networks分布式约束优化方法在异构网络用户关联问题中的应用
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