Decentralized Multi-cell Beamforming with QoS Guarantees via Large System Analysis

Hossein Asgharimoghaddam (1) , Antti Tölli (1) , Luca Sanguinetti (2, 3) , Mérouane Debbah (3, 4)

1 CWC - Centre for Wireless Communications [University of Oulu]
2 University of Pisa - Università di Pisa
3 LANEAS - Large Networks and Systems Group
4 Mathematical and Algorithmic Sciences Lab [Paris]

—This work focuses on the power minimization problem while ensuring target rates in the downlink of a multi-cell multiuser MIMO system wherein L base stations (BSs) of N antennas serve in total K single-antenna user equipments. We assume that the transmit antennas at each BS are correlated and propose a decentralized solution to compute an approximation of the optimal beamforming vectors. The analysis is conducted in the asymptotic regime in which N and K grow large with a given ratio K/N. In particular, the proposed solution relies on the exchange of intercell interference terms whose large system approximations are computed at each BS using knowledge of local transmit correlation matrices and non-local pathlosses. Numerical results are used to evaluate the performance loss of the proposed solution compared to the optimal one and to investigate its accuracy in system of finite size.

Domaines: Mathématiques [math]; Sciences de l'ingénieur [physics]; Statistiques [stat]

Hossein Asgharimoghaddam, Antti Tölli, Luca Sanguinetti, Mérouane Debbah. Decentralized Multi-cell Beamforming with QoS Guarantees via Large System Analysis. IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015) , Dec 2015, Cancun, Mexico. ⟨10.1109/camsap.2015.7383823⟩. ⟨hal-01237229⟩