DocumentCode :
2872688
Title :
Optimal power control in two-tier networks at low-SNR regime
Author :
Demir, Uygar ; Toker, Cenk ; Inaltekin, Hazer
Author_Institution :
Elektrik ve Elektron. Muhendisligi Bolumu, Hacettepe Univ., Ankara, Turkey
fYear :
2015
fDate :
16-19 May 2015
Firstpage :
1817
Lastpage :
1820
Abstract :
This paper considers optimum uplink power control policy that maximizes system capacity without any interference cancellation techniques for HetNets or cognitive-radio (CR) networks at low-SNR regime. System model has two-tier to cover cognitive-radio and heterogenous networks structures. Tier 2 users cause interference on tier 1 user under spectrum sharing paradigm. In proposed scenario, this interference power on tier 1 user is limited at a certain level. The objective function of power optimization problem is changed with an upper bound function to find optimum power control policy under individual peak power constraint at Tier2s and total interference constraint at Tier1 for uplink case at low-SNR regime. To this end, two optimal solutions, one of which is algoritmic and the other is analytical, have found from two different upper bound approximations. By exploiting analytical solution, a fast and low-complex algorithm is derived. At the end of paper, these two approximations and DC programming algorithm which is well-studied and given well-approximated lower bound have been compared with each other.
Keywords :
cognitive radio; optimal control; optimisation; power control; radio spectrum management; radiofrequency interference; telecommunication control; CR networks; DC programming algorithm; HetNets; cognitive-radio networks; heterogenous networks structures; low-SNR regime; objective function; optimal power control; power optimization problem; spectrum sharing paradigm; tier 1 user; tier 2 users; two-tier networks; uplink power control policy; Approximation methods; Interference constraints; Power control; Programming; Quality of service; Signal to noise ratio; Uplink; HetNets; cognitive-radio networks; interference constraint; low-SNR regime; polynomial-time algorithm; power control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
Type :
conf
DOI :
10.1109/SIU.2015.7130208
Filename :
7130208
Link To Document :
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