TY - GEN
T1 - Managing analog beams in mmWave networks
AU - Ghasempour, Yasaman
AU - Prasad, Narayan
AU - Khojastepour, Mohammad
AU - Rangarajan, Sampath
N1 - Publisher Copyright:
© 2017 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/4/10
Y1 - 2018/4/10
N2 - In this paper we consider multi-cell mmWave networks wherein each cell equipped with a large antenna array can employ an analog precoder (or a group of analog beams) to serve its associated users, while each such user can employ a single analog beam. A key problem over such a network is to determine the set of users that each cell should serve (a.k.a. user association), the group of beams it should employ, as well as their attributes such as how often and with how much power should each beam be used. This problem becomes harder since the choice of beam at any user is coupled to the cell it is assigned to and the latter's choice of beams. Moreover, practical considerations demand that each transmitting and receiving beam and their attributes be selected from finite codebooks. We develop novel solutions to this seemingly intractable problem. We adopt the generalized Quality-of-Service (QoS) Proportional Fairness (PF) network utility which can balance efficiency with fairness, and is particularly relevant for coverage constrained mmWave systems, since QoS constraints demand provisioning a minimum rate for each user. We prove that, remarkably, the user association problem under this QoS-PF utility can be formulated as a constrained submodular set function maximization problem. Consequently, it can be optimally solved (up to an additive constant) using distributed algorithms. We then propose a simple distributed algorithm to optimize the choice of beams and their attributes, and prove that it converges to a social equilibrium even in the presence a non-ideal communication channel between cells.
AB - In this paper we consider multi-cell mmWave networks wherein each cell equipped with a large antenna array can employ an analog precoder (or a group of analog beams) to serve its associated users, while each such user can employ a single analog beam. A key problem over such a network is to determine the set of users that each cell should serve (a.k.a. user association), the group of beams it should employ, as well as their attributes such as how often and with how much power should each beam be used. This problem becomes harder since the choice of beam at any user is coupled to the cell it is assigned to and the latter's choice of beams. Moreover, practical considerations demand that each transmitting and receiving beam and their attributes be selected from finite codebooks. We develop novel solutions to this seemingly intractable problem. We adopt the generalized Quality-of-Service (QoS) Proportional Fairness (PF) network utility which can balance efficiency with fairness, and is particularly relevant for coverage constrained mmWave systems, since QoS constraints demand provisioning a minimum rate for each user. We prove that, remarkably, the user association problem under this QoS-PF utility can be formulated as a constrained submodular set function maximization problem. Consequently, it can be optimally solved (up to an additive constant) using distributed algorithms. We then propose a simple distributed algorithm to optimize the choice of beams and their attributes, and prove that it converges to a social equilibrium even in the presence a non-ideal communication channel between cells.
UR - http://www.scopus.com/inward/record.url?scp=85051051279&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85051051279&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2017.8335544
DO - 10.1109/ACSSC.2017.8335544
M3 - Conference contribution
AN - SCOPUS:85051051279
T3 - Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
SP - 1212
EP - 1218
BT - Conference Record of 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
A2 - Matthews, Michael B.
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 51st Asilomar Conference on Signals, Systems and Computers, ACSSC 2017
Y2 - 29 October 2017 through 1 November 2017
ER -