Autonomous Self-Optimization of Coverage and Capacity in LTE Cellular Networks


A. Engels, M. Reyer, X. Xu, R. Mathar, J. Zhang, H. Zhuang,


        Self-organizing networks promise significant expenditure savings for operators when rolling out modern cellular network infrastructure, such as Long-Term Evolution (LTE) and LTE-Advanced systems. Savings in capital expenditures (CAPEX) and operational expenditures (OPEX) can be achieved in both the network deployment and network operation phase. Particularly, self-organized optimization of network coverage and network capacity is a key challenge to cope with the boost in mobile data traffic that is expected in the next years and to benefit from the growing market. We present a traffic-light related approach to autonomous self-optimization of tradeoff performance indicators in LTE multitier networks. Introducing a low-complexity interference approximation model, the related optimization problem is formulated as a mixed-integer linear program and is embedded into a self-organized network operation and optimization framework. Tuning site activity, transmission power, and antenna downtilt are parameters of eNodeBs and Home eNodeBs. The optimization procedure is carried out considering time-variant optimization parameters that are automatically adapted with respect to changes in the network. Simulation-based evaluation of representative case studies demonstrates applicability and the benefit potential of our overall concept.


BibTEX Reference Entry 

	author = {Alexander Engels and Michael Reyer and Xiang Xu and Rudolf Mathar and Jietao Zhang and Hongcheng Zhuang},
	title = "Autonomous Self-Optimization of Coverage and Capacity in LTE Cellular Networks",
	pages = "1989-2004",
	journal = "Vehicular Technology, {IEEE} Transactions on",
	volume = "62",
	number = "5",
	doi = 10.1109/TVT.2013.2256441,
	month = Jun,
	year = 2013,
	hsb = hsb999910308392,


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