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 maximisation of the ergodic capacity 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.
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Diouf, M.D., Ndong, M. (2023). Network Slicing User Association Under Optimal Input Covariance Matrix in Virtual Network MVNO. In: Ben Ahmed, M., Abdelhakim, B.A., Ane, B.K., Rosiyadi, D. (eds) Emerging Trends in Intelligent Systems & Network Security. NISS 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 147. Springer, Cham. https://doi.org/10.1007/978-3-031-15191-0_34
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