Distributed power control in femto cells using bayesian density tracking

Ahmed Farhan Hanif, Hamidou Tembine, Mohamad Assaad, Djamal Zeghlache

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper we develop a framework for distributed power control in a wireless network where femto and macro cells co-exist and interfere with each other. In order to ensure a minimum QoS, femto and macro access points have the challenging and realistic objective of minimizing their users' SINR (Signal to Interference and Noise Ratio) outage. Furthermore, due to mobility and interference, an accurate closed form expression of the SINR density function is hard to obtain in a realistic scenario which makes the problem more challenging. In this paper, our contribution is twofold. We propose a Nash seeking based power control algorithm that utilizes the numerical value to maximize the reward. We then propose a Bayesian based technique that tracks the density of the SINR of macro and femto users to estimate the reward and achieve our aforementioned goals. It is worth noting that our power control strategy requires that each Access Point (AP) knows only a numerical value (and not closed form expression) of the reward of its own users which is quite realistic in a dynamic environment (mobility, interference, etc.) where a closed form expression of the reward is hard/impossible to obtain. Numerical results at the end of the paper show that our framework outperforms existing works.

Original languageEnglish (US)
Title of host publication2013 51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013
PublisherIEEE Computer Society
Pages1388-1393
Number of pages6
ISBN (Print)9781479934096
DOIs
StatePublished - 2013
Event51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013 - Monticello, IL, United States
Duration: Oct 2 2013Oct 4 2013

Publication series

Name2013 51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013

Other

Other51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013
CountryUnited States
CityMonticello, IL
Period10/2/1310/4/13

Keywords

  • Femto Cell
  • Interference Man-agement
  • Nash Seeking
  • Power Control
  • Recursive Bayesian Estimation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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  • Cite this

    Hanif, A. F., Tembine, H., Assaad, M., & Zeghlache, D. (2013). Distributed power control in femto cells using bayesian density tracking. In 2013 51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013 (pp. 1388-1393). [6736689] (2013 51st Annual Allerton Conference on Communication, Control, and Computing, Allerton 2013). IEEE Computer Society. https://doi.org/10.1109/Allerton.2013.6736689