Power Minimization Using Rate Splitting With Statistical CSI in Cloud-Radio Access Networks
Minimizing the power consumption in mobile communication networks while ensuring a minimum quality of service (QoS) for applications is essential in light of the unprecedented expected increase in the number of connected devices and the associated data traffic beyond the fifth generation of wireless...
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2021-09-01
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doaj-1f25ce973fc945c6b80134f4efaf90192021-09-07T04:17:42ZengFrontiers Media S.A.Frontiers in Communications and Networks2673-530X2021-09-01210.3389/frcmn.2021.716618716618Power Minimization Using Rate Splitting With Statistical CSI in Cloud-Radio Access NetworksAlaa Alameer Ahmad0Hayssam Dahrouj1Anas Chaaban2Tareq Y. Al-Naffouri3Aydin Sezgin4Jeff. S. Shamma5Mohamed-Slim Alouini6Digital Communication Systems, Ruhr-Universität Bochum, Bochum, GermanyCommunication Theory Lab, King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaSchool of Engineering, The University of British Columbia, Kelowna, BC, CanadaCommunication Theory Lab, King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaDigital Communication Systems, Ruhr-Universität Bochum, Bochum, GermanyIndustrial and Enterprise Systems Engineering, University of Illinois at Urbana-Champaign (UIUC), Champaign, IL, United StatesCommunication Theory Lab, King Abdullah University of Science and Technology, Thuwal, Saudi ArabiaMinimizing the power consumption in mobile communication networks while ensuring a minimum quality of service (QoS) for applications is essential in light of the unprecedented expected increase in the number of connected devices and the associated data traffic beyond the fifth generation of wireless networks (B5G). This paper considers a cloud-radio access network (C-RAN) model where a central processor (CP) is connected to the base stations (BSs) via limited capacity fronthaul links. In the context of our C-RAN setting, we consider the practical case where the CP has only statistical knowledge of channel state information (CSI). While conventional wireless systems adopt the treating interference as noise (TIN) strategy to deal with the interference in the network, this paper instead considers that the CP applies the rate splitting (RS) strategy by dividing each user’s message into two parts: a private part to be decoded by the intended user only and a common part to be decoded by a subset of users, for the sole reason of interference mitigation in the network. To best account for the channel estimation errors, this paper addresses the problem of transmit power minimization under minimum QoS constraints on the achievable ergodic rate per user, so as to determine the beamforming vectors of the private and common messages as well as the rate allocated to all the users. The considered problem is of stochastic, complex, and non-convex nature. This paper addresses the problem intricacies through an iterative approach that leverages both the sample average approximation (SAA) technique and the weighted minimum mean squared error (WMMSE) algorithm to obtain a stationary point of the optimization problem in the asymptotic regime. The numerical results demonstrate the gain achieved with the RS strategy as compared to TIN, especially under high QoS requirements.https://www.frontiersin.org/articles/10.3389/frcmn.2021.716618/fullrate splittingC-RANoptimizationimperfect CSITquality of service |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Alaa Alameer Ahmad Hayssam Dahrouj Anas Chaaban Tareq Y. Al-Naffouri Aydin Sezgin Jeff. S. Shamma Mohamed-Slim Alouini |
spellingShingle |
Alaa Alameer Ahmad Hayssam Dahrouj Anas Chaaban Tareq Y. Al-Naffouri Aydin Sezgin Jeff. S. Shamma Mohamed-Slim Alouini Power Minimization Using Rate Splitting With Statistical CSI in Cloud-Radio Access Networks Frontiers in Communications and Networks rate splitting C-RAN optimization imperfect CSIT quality of service |
author_facet |
Alaa Alameer Ahmad Hayssam Dahrouj Anas Chaaban Tareq Y. Al-Naffouri Aydin Sezgin Jeff. S. Shamma Mohamed-Slim Alouini |
author_sort |
Alaa Alameer Ahmad |
title |
Power Minimization Using Rate Splitting With Statistical CSI in Cloud-Radio Access Networks |
title_short |
Power Minimization Using Rate Splitting With Statistical CSI in Cloud-Radio Access Networks |
title_full |
Power Minimization Using Rate Splitting With Statistical CSI in Cloud-Radio Access Networks |
title_fullStr |
Power Minimization Using Rate Splitting With Statistical CSI in Cloud-Radio Access Networks |
title_full_unstemmed |
Power Minimization Using Rate Splitting With Statistical CSI in Cloud-Radio Access Networks |
title_sort |
power minimization using rate splitting with statistical csi in cloud-radio access networks |
publisher |
Frontiers Media S.A. |
series |
Frontiers in Communications and Networks |
issn |
2673-530X |
publishDate |
2021-09-01 |
description |
Minimizing the power consumption in mobile communication networks while ensuring a minimum quality of service (QoS) for applications is essential in light of the unprecedented expected increase in the number of connected devices and the associated data traffic beyond the fifth generation of wireless networks (B5G). This paper considers a cloud-radio access network (C-RAN) model where a central processor (CP) is connected to the base stations (BSs) via limited capacity fronthaul links. In the context of our C-RAN setting, we consider the practical case where the CP has only statistical knowledge of channel state information (CSI). While conventional wireless systems adopt the treating interference as noise (TIN) strategy to deal with the interference in the network, this paper instead considers that the CP applies the rate splitting (RS) strategy by dividing each user’s message into two parts: a private part to be decoded by the intended user only and a common part to be decoded by a subset of users, for the sole reason of interference mitigation in the network. To best account for the channel estimation errors, this paper addresses the problem of transmit power minimization under minimum QoS constraints on the achievable ergodic rate per user, so as to determine the beamforming vectors of the private and common messages as well as the rate allocated to all the users. The considered problem is of stochastic, complex, and non-convex nature. This paper addresses the problem intricacies through an iterative approach that leverages both the sample average approximation (SAA) technique and the weighted minimum mean squared error (WMMSE) algorithm to obtain a stationary point of the optimization problem in the asymptotic regime. The numerical results demonstrate the gain achieved with the RS strategy as compared to TIN, especially under high QoS requirements. |
topic |
rate splitting C-RAN optimization imperfect CSIT quality of service |
url |
https://www.frontiersin.org/articles/10.3389/frcmn.2021.716618/full |
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