Device-to-Device (D2D) communications underlying a cellular network have been recognized as an important approach for performance improvement in 5G networks. In this paper, we refer to an LTE-A scenario where the underlay mode is adopted to allow D2D pairs to communicate directly by sharing sub-channels with Cellular Users (CUEs). Our aim is to propose heuristic resource allocation and pairing schemes to distribute radio resources among CUEs and D2Ds in a cell taking the interference because of pairing into account. In particular, we compare suitably-modified Proportional Fairness (PF) schemes with heuristic max-capacity approaches in terms of CUE and D2D capacity and fairness conditions. Extensive simulation runs have been carried out (Monte Carlo approach) and have allowed us to select a PF-based scheme and a technique combining Round-Robin with capacity maximization as two promising alternatives in order to assign resources to D2Ds and CUEs.
Giambene, G., Tran, A.K. (2018). Efficiency and Fairness in the Resource Allocation to Device-to-Device Communications in LTE-A. In 2018 IEEE International Conference on Communications (ICC). New York : IEEE [10.1109/ICC.2018.8422205].
Efficiency and Fairness in the Resource Allocation to Device-to-Device Communications in LTE-A
Giambene, Giovanni
;Khoa, Tran Anh
2018-01-01
Abstract
Device-to-Device (D2D) communications underlying a cellular network have been recognized as an important approach for performance improvement in 5G networks. In this paper, we refer to an LTE-A scenario where the underlay mode is adopted to allow D2D pairs to communicate directly by sharing sub-channels with Cellular Users (CUEs). Our aim is to propose heuristic resource allocation and pairing schemes to distribute radio resources among CUEs and D2Ds in a cell taking the interference because of pairing into account. In particular, we compare suitably-modified Proportional Fairness (PF) schemes with heuristic max-capacity approaches in terms of CUE and D2D capacity and fairness conditions. Extensive simulation runs have been carried out (Monte Carlo approach) and have allowed us to select a PF-based scheme and a technique combining Round-Robin with capacity maximization as two promising alternatives in order to assign resources to D2Ds and CUEs.File | Dimensione | Formato | |
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https://hdl.handle.net/11365/1112707