Joint User Association and ABS for Energy-Efficient eICIC in Heterogeneous Cellular Network
In the work, we design a novel EE-eICIC algorithm to deal with determining the amount of almost blank subframes (ABS) and user should associate with pico or macro from energy efficiency perspective. Using a generalized fractional programming theory and the convex programming, we propose an iterative and relaxed-rounding algorithm to deal with the problem. Numerical experiments show that the proposed EE-eICIC method can obtain superior performance comparing with state-of-the-art algorithms in terms of energy efficiency of system.
KeywordsEnergy efficiency (EE) Enhanced inter-cell interference coordination (eICIC) Load balancing Heterogeneous cellular network (HetNet)
This work was supported in part by the National Natural Science Foundation of China (Grants nos. 61701400, 61672426, 61501372, 61572401, 41601353), by the Postdoctoral Foundation of China (Grants nos. 2017M613188 and 2017M613186), by the Natural Science Special Foundation of Shaanxi (Grant nos. 2017JQ6052, 2017JQ4003 and 17JK0783).
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