@techreport{TD:101328,
	att_abstract={{We develop optimal energy-bandwidth allocation
algorithm for the energy harvesting transmitters in interference
networks. We assume that both the channel gain and the
harvested energy are known for K slots as a priori, and the
battery capacity is finite. The problem is formulated as a convex
optimization problem with O(NK) constraints, making it hard to
solve efficiently with a generic convex solver. To efficiently obtain
the optimal energy-bandwidth allocation for each transmitter
in each time slot, an iterative algorithm is proposed based on
solving two subproblems with efficient algorithms, that has an
overall complexity of O(NK
2
). Moreover, the numerical results
show that the proposed iterative algorithm achieves the optimal
performance, providing a significant improvement as compared
to some naive allocation policies.}},
	att_authors={va037f},
	att_categories={},
	att_copyright={{IEEE}},
	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 {{, 2014-08-30}}
}},
	att_donotupload={},
	att_private={false},
	att_projects={},
	att_tags={},
	att_techdoc={true},
	att_techdoc_key={TD:101328},
	att_url={http://web1.research.att.com:81/techdocs_downloads/TD:101328_DS1_2014-07-07T21:04:58.094Z.pdf},
	author={Vaneet Aggarwal and Zhe Wang and Xiaodong Wang},
	institution={{IEEE International Symposium on Information Theory}},
	month={August},
	title={{Optimal Energy-Bandwidth Allocation for Energy
Harvesting Interference Networks}},
	year=2014,
}