A multi-armed bandit approach to distributed robust beamforming in multicell networks

TY - CHAP

T1 - A multi-armed bandit approach to distributed robust beamforming in multicell networks

AU - Zhang, Xinruo

AU - Nakhai, Mohammad Reza

AU - Wan Ariffin, Wan Nur Suryani Firuz

PY - 2017/2/2

Y1 - 2017/2/2

N2 - This paper addresses the problem of maximizing the weighted signal-to-interference-plus-noise-ratio (SINR) targets at user terminals in a distributed manner in multicell interference networks. The optimization is constrained to strict individual base station (BS) transmit power limitations in the presence of imperfect channel state information (CSI). This problem is numerically intractable due to the coupling effect among a cluster of BSs operating under the same frequency bandwidth and robust constraints that involve the imperfect CSI. We first convert the original problem into a dual total transmit power minimization problem subject to a set of robust SINR constraints in the centralized worst-case scenario. Then the resulting global optimization problem is decomposed into a set of independent subproblems at individual BSs. Finally, a multi-arm bandit based algorithm is proposed to optimally scale the SINR targets in a distributed manner based on individual BS power budgets, and coordinate intercell interference among the BSs with a light inter-BS communication overhead. Simulation results demonstrate the advantage of the proposed scheme in terms of providing larger SINR operation range and robustness to the CSI uncertainties.

AB - This paper addresses the problem of maximizing the weighted signal-to-interference-plus-noise-ratio (SINR) targets at user terminals in a distributed manner in multicell interference networks. The optimization is constrained to strict individual base station (BS) transmit power limitations in the presence of imperfect channel state information (CSI). This problem is numerically intractable due to the coupling effect among a cluster of BSs operating under the same frequency bandwidth and robust constraints that involve the imperfect CSI. We first convert the original problem into a dual total transmit power minimization problem subject to a set of robust SINR constraints in the centralized worst-case scenario. Then the resulting global optimization problem is decomposed into a set of independent subproblems at individual BSs. Finally, a multi-arm bandit based algorithm is proposed to optimally scale the SINR targets in a distributed manner based on individual BS power budgets, and coordinate intercell interference among the BSs with a light inter-BS communication overhead. Simulation results demonstrate the advantage of the proposed scheme in terms of providing larger SINR operation range and robustness to the CSI uncertainties.

UR - http://www.scopus.com/inward/record.url?scp=85015418342&partnerID=8YFLogxK

U2 - 10.1109/GLOCOM.2016.7841517

DO - 10.1109/GLOCOM.2016.7841517

M3 - Conference paper

AN - SCOPUS:85015418342

SN - 9781509013289

BT - 2016 IEEE Global Communications Conference, GLOBECOM 2016 - Proceedings

PB - IEEE

T2 - 59th IEEE Global Communications Conference, GLOBECOM 2016

Y2 - 4 December 2016 through 8 December 2016

ER -