Adaptive and Spatial Processing for Millimeter Wave Backhaul Architectures

Siaud, Isabelle; Ulmer-Moll, Anne-Marie; Bouzigues, Marc-Antoine; Cassiau, Nicolas

doi:10.1109/icuwb.2015.7324420

Cited by 5 publications

(4 citation statements)

References 15 publications

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“…The possible applications are in backhaul and fronthaul links on the network side [2] or on the access link. Recent research proves the general feasibility of outdoor access links in the lower millimeter-wave band (30)(31)(32)(33)(34)(35)(36)(37)(38)(39)(40) based on path loss evaluations [3]. At the same time, a high spatial selectivity of the channel is observed in this publication.…”

Section: Introductionsupporting

confidence: 49%

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Quasi-deterministic millimeter-wave channel models in MiWEBA

Weiler

Peter

Keusgen

et al. 2016

J Wireless Com Network

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This article introduces a quasi-deterministic channel model and a link level-focused channel model, developed with a focus on millimeter-wave outdoor access channels. Channel measurements in an open square scenario at 60 GHz are introduced as a basis for the development of the model and its parameterization. The modeling approaches are explained, and their specific area of application is investigated.

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Section: Introductionsupporting

confidence: 49%

“…These models and associated CEPD realizations may be used to evaluate involved degradations on link level performance and highlight benefits of fast-tracking beam-forming in time variant environments [31].…”

Section: Amplitude Distribution Rayleighmentioning

confidence: 99%

Quasi-deterministic millimeter-wave channel models in MiWEBA

Weiler

Peter

Keusgen

et al. 2016

J Wireless Com Network

Self Cite

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“…Otherwise, Ψ m (k; µ j ) = −∞, meaning that sub-channel k is not acceptable to D-BS m, given the current matching µ j . In fact, (17) follows the rate constraint in (11b) and prevents the D-BS m from being allocated to unnecessary sub-channels. With this in mind, we define the utilities and preferences of sub-channels and D-BSs, considering the rate constraints, CSI, and the cost of each sub-channel.…”

Section: A Resource Management As a Matching Gamementioning

confidence: 99%

“…In [16], the authors perform channel measurements and provide insights for the mmW small cell backhaul links. In [17], the performance of adaptive and switching beamforming techniques are investigated and evaluated for mmW backhaul networks. Moreover, the impact of diffraction loss in mmW backhaul network is analyzed in [19].…”

Section: Introductionmentioning

confidence: 99%

Inter-Operator Resource Management for Millimeter Wave Multi-Hop Backhaul Networks

Semiari

Saad

Bennis

et al. 2017

IEEE Trans. Wireless Commun.

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In this paper, a novel framework is proposed for optimizing the operation and performance of a large-scale, multihop millimeter wave (mmW) backhaul within a wireless small cell network (SCN) that encompasses multiple mobile network operators (MNOs). The proposed framework enables the small base stations (SBSs) to jointly decide on forming the multihop, mmW links over backhaul infrastructure that belongs to multiple, independent MNOs, while properly allocating resources across those links. In this regard, the problem is addressed using a novel framework based on matching theory that is composed to two, highly inter-related stages: a multi-hop network formation stage and a resource management stage. One unique feature of this framework is that it jointly accounts for both wireless channel characteristics and economic factors during both network formation and resource management. The multi-hop network formation stage is formulated as a one-to-many matching game which is solved using a novel algorithm, that builds on the so-called deferred acceptance algorithm and is shown to yield a stable and Pareto optimal multi-hop mmW backhaul network. Then, a one-to-many matching game is formulated to enable proper resource allocation across the formed multi-hop network. This game is then shown to exhibit peer effects and, as such, a novel algorithm is developed to find a stable and optimal resource management solution that can properly cope with these peer effects. Simulation results show that, with manageable complexity, the proposed framework yields substantial gains, in terms of the average sum rate, reaching up to 27% and 54%, respectively, compared to a non-cooperative scheme in which inter-operator sharing is not allowed and a random allocation approach. The results also show that our framework improves the statistics of the backhaul sum rate and provides insights on how to manage pricing and the cost of the cooperative mmW backhaul network for the MNOs.

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Downlink Power Optimization for Heterogeneous Networks With Time Reversal-Based Transmission Under Backhaul Limitation

et al. 2017

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In this paper, we investigate an application of two different beamforming techniques and propose a novel downlink power minimization scheme for a two-tier heterogeneous network (HetNet) model. In this context, we employ time reversal (TR) technique to a femtocell base station (FBS) whereas we assume that a macrocell base station (MBS) uses a zero-forcing-based algorithm and the communication channels are subject to frequency selective fading. Additionally, HetNet's backhaul connection is unable to support a sufficient throughput for signaling information exchange between two tiers. Given the considered HetNet model, a downlink power minimization scheme is proposed, and closed-form expressions concerning the optimal solution are provided, taking this constraint into account. Furthermore, considering imperfect channel estimation at TRemployed femtocell, a worst-case robust power minimization problem is formulated. By devising TR worst-case analysis, this robust problem is transformed into an equivalent formulation that is tractable to solve. The results presented in our paper show that the TR technique outperforms the zero-forcing one in the perspective of beamforming methods for femtocell working environments. Finally, we validate the proposed power loading strategy for both cases of perfect and imperfect channel estimations.

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Adaptive and Spatial Processing for Millimeter Wave Backhaul Architectures

Cited by 5 publications

References 15 publications

Quasi-deterministic millimeter-wave channel models in MiWEBA

Quasi-deterministic millimeter-wave channel models in MiWEBA

Inter-Operator Resource Management for Millimeter Wave Multi-Hop Backhaul Networks

Downlink Power Optimization for Heterogeneous Networks With Time Reversal-Based Transmission Under Backhaul Limitation

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