| Title | Traffic Off-Loading over Uncertain Shared Spectrums with End-to-End Session Guarantee |
| Publication Type | Conference Paper |
| Year of Publication | 2020 |
| Authors | Xiao, R., Li, X., Pan, M., Zhao, N., Jiang, F., Wang, X. |
| Conference Name | 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall) |
| Date Published | nov |
| Keywords | composability, delay-tolerant traffic off-loading, end-to-end guarantee, Heuristic algorithms, Iterative algorithms, Metrics, Optimization, pubcrawl, Resiliency, search problems, simulation, Spectrum sharing, spectrum uncertainty, stochastic optimization, Uncertainty, Vehicular and wireless technologies, Wireless Mesh Network Security |
| Abstract | As a promising solution of spectrum shortage, spectrum sharing has received tremendous interests recently. However, under different sharing policies of different licensees, the shared spectrum is heterogeneous both temporally and spatially, and is usually uncertain due to the unpredictable activities of incumbent users. In this paper, considering the spectrum uncertainty, we propose a spectrum sharing based delay-tolerant traffic off-loading (SDTO) scheme. To capture the available heterogeneous shared bands, we adopt a mesh cognitive radio network and employ the multi-hop transmission mode. To statistically guarantee the end-to-end (E2E) session request under the uncertain spectrum supply, we formulate the SDTO scheme into a stochastic optimization problem, which is transformed into a mixed integer nonlinear programming (MINLP) problem. Then, a coarse-fine search based iterative heuristic algorithm is proposed to solve the MINLP problem. Simulation results demonstrate that the proposed SDTO scheme can well schedule the network resource with an E2E session guarantee. |
| DOI | 10.1109/VTC2020-Fall49728.2020.9348444 |
| Citation Key | xiao_traffic_2020 |
Traffic Off-Loading over Uncertain Shared Spectrums with End-to-End Session Guarantee