O. Semiari, W. Saad, M. Bennis and Z. Dawy, "Inter-Operator Resource Management for Millimeter Wave Multi-Hop Backhaul Networks," in IEEE Transactions on Wireless Communications, vol. 16, no. 8, pp. 5258-5272, Aug. 2017. doi: 10.1109/TWC.2017.2707410
Inter-operator resource management for millimeter wave multi-hop backhaul networks
|Author:||Semiari, Omid1; Saad, Walid1; Bennis, Mehdi2;|
1Wireless@VT, The Bradley Department of Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061 USA
2Centre for Wireless Communications, University of Oulu, 90014 Oulu, Finland
3Department of Electrical and Computer Engineering, American University of Beirut, 1107 2020 Beirut, Lebanon
|Online Access:||PDF Full Text (PDF, 2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018080633383
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-08-06
In this paper, a novel framework is proposed for optimizing the operation and performance of a large-scale multi-hop millimeter wave (mmW) backhaul within a wireless small cell network having multiple mobile network operators (MNOs). The proposed framework enables the small base stations to jointly decide on forming the multi-hop, 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 composed of 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 with 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.
IEEE transactions on wireless communications
|Pages:||5258 - 5272|
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
113 Computer and information sciences
222 Other engineering and technologies
This work was supported by the U.S. National Science Foundation under Grant CNS-1460316 and Grant CNS-1617896.
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