Innovations and Interdisciplinary Solutions for Underserved Areas. Third EAI International Conference, InterSol 2019, Cairo, Egypt, February 14–15, 2019, Proceedings

Research Article

Distributed Network Slicing and User Association in Unequal STBC-SNR Branch

  • @INPROCEEDINGS{10.1007/978-3-030-34863-2_6,
        author={Mamadou Diouf and M. Ndong},
        title={Distributed Network Slicing and User Association in Unequal STBC-SNR Branch},
        proceedings={Innovations and Interdisciplinary Solutions for Underserved Areas. Third EAI International Conference, InterSol 2019, Cairo, Egypt, February 14--15, 2019, Proceedings},
        proceedings_a={INTERSOL},
        year={2019},
        month={11},
        keywords={Virtualization Wireless Network (VWN) Space-Time Block Coding (STBC) Softmax},
        doi={10.1007/978-3-030-34863-2_6}
    }
    
  • Mamadou Diouf
    M. Ndong
    Year: 2019
    Distributed Network Slicing and User Association in Unequal STBC-SNR Branch
    INTERSOL
    Springer
    DOI: 10.1007/978-3-030-34863-2_6
Mamadou Diouf1,*, M. Ndong1,*
  • 1: Ecole Polytechnique de Thies (EPT)
*Contact email: mddiouf@ept.sn, massa.ndong@uvs.edu.sn

Abstract

Virtualized Wireless Networks (VWN) strive to offer efficient power allocation and spectral efficiency to each user assigned to a given slice at any time. We propose a user-slice association based on the softmax of the probability of successful transmission using space-time block code (STBC) to encode the data transmission in a wireless channel. Each slice is defined by a set of Base stations (BS) or relays or Access Points (APs) or Small cell Base Stations and their related physical resources or a combination of such stations. The slices constitute a distributed-space-time block code which provides the data traffic for the mobile terminals. A minimisation of the derived bit error rate (BER) is used to find the optimal transmit power at each slice. The optimisation is constrained by the outage at the small cell located near the cooperating transmit slices. Such constraint improves the initialisation of the iterative algorithm compared to randomly choosing initial points. The proposed optimisation yields a dynamic selection of the slices with power control pertaining to the outdoor mobile terminal performance and the outage. The simulations show that the selection of a slice based on the softmax of the probability of successful transmissions ensures a better probability of successful transmissions compared to a permutation based selection.