A Bayesian Approach to Characterize Unknown Interference Power in Wireless Networks

IEEE Wireless Communications Letters, vol. 12, pp. 1374–1378

Abstract

The existence of unknown interference is a prevalent problem in wireless communication networks. Especially in multi-user multiple-input multiple-output (MIMO) networks, where a large number of user equipments are served on the same time-frequency resources, the outage performance may be dominated by the unknown interference arising from scheduling variations in neighboring cells. In this letter, we propose a Bayesian method for modeling the unknown interference power in the uplink of a cellular network. Numerical results show that our method accurately models the distribution of the unknown interference power and can be effectively used for rate adaptation with guaranteed target outage performance.

Authors 3

1. Mahmoud Zaher

   KTH Royal Institute of Technology

   Affiliation as printed

   Division of Communication Systems, KTH Royal Institute of Technology, Stockholm, Sweden

2. Emil Björnson

   KTH Royal Institute of Technology

   Affiliation as printed

   Division of Communication Systems, KTH Royal Institute of Technology, Stockholm, Sweden

3. Marina Petrova Aachen Mobile Communications and Computing Group

   RWTH Aachen University · KTH Royal Institute of Technology

   Affiliation as printed

   Division of Communication Systems, KTH Royal Institute of Technology, Stockholm, Sweden

   Mobile Communications and Computing Group, RWTH Aachen University, Aachen, Germany