att_abstract={{LTE network service reliability is highly dependent
on the wireless coverage that is provided by cell towers (eNB).
Therefore, the network operator’s response to outage scenarios
needs to be fast and efficient, in order to minimize any degradation
in the Quality of Service (QoS). In this paper, we propose an
outage mitigation framework for LTE-Advanced (LTE-A) wireless
networks. Our framework exploits the inherent design features
of LTE-A; it performs a dual optimization of the transmission
power and beamforming weight parameters at each neighbor
cell sector of the outage eNBs, while taking into account both
the channel characteristics and residual eNodeB resources, after
serving its current traffic load. Assuming statistical Channel State
Information about the users at the eNBs, we show that this
problem is theoretically NP-hard; thus we approximate it as a
convex optimization problem and solve for the optimal points using
an iterative algorithm. Contrary to previously proposed power
control studies, our framework is specifically designed to alleviate
the effects of sudden LTE-A eNB outages, where a large number
of mobile users need to be efficiently offloaded to nearby towers.
We present the detailed analytical design of our framework, and
we assess its efficacy via extensive NS-3 simulations on an LTE-A
topology. Our simulations demonstrate that our framework
provides adequate coverage and QoS across all examined outage
	att_authors={ns2438, ib0333, va037f},
	att_copyright_notice={{This version of the work is reprinted here with permission of IEEE for your personal use. Not for redistribution. The definitive version was published in 2014. {{, 2015-02-01}}
	author={N Shankaranarayanan and Ioannis Broustis and Vaneet Aggarwal and Rajarajan Sivaraj, University of California and Prasant Mohapatra, University of California},
	institution={{IEEE Infocom 2015}},
	title={{Mitigating Macro-Cell Outage in LTE-Advanced Deployments}},