Journal
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Volume 68, Issue 5, Pages 4760-4773Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TVT.2019.2903858
Keywords
Device-to-device communication; HCNs; millimeter wave; resource allocation
Categories
Funding
- National Key R&D Program of China [2016YFE0200900, 2016YFB1200102-04]
- National Natural Science Foundation of China [61725101, U1834210, 61801016]
- Beijing Natural Fund [L172020]
- Beijing Municipal Science and Technology Commission [Z181100003218010]
- State Key Lab of Rail Traffic Control and Safety [RCS2018ZZ007]
- China Postdoctoral Science Foundation [2017M610040, 2018T110041]
- Teaching Reform Project [134496522]
- US MURI AFOSR MURI [18RT0073]
- NSF [CNS-1717454]
- [CNS-1731424]
- [CNS-1702850]
- [CNS-1646607]
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Heterogeneous cellular networks (HCNs) with millimeter wave (mm-wave) communications are considered as a promising technology for the fifth-generation mobile networks. Mm-wave has the potential to provide multiple gigabit data rate due to the broad spectrum. Unfortunately, additional free space path loss is also caused by the high carrier frequency. On the other hand, mm-wave signals are sensitive to obstacles and more vulnerable to blocking effects. To address this issue, highly directional narrow beams are utilized in mm-wave networks. Additionally, device-to-device (D2D) users make full use of their proximity and share uplink spectrum resources in HCNs to increase the spectrum efficiency and network capacity. Toward the caused complex interferences, the combination of D2D-enabled HCNs with small cells densely deployed and mm-wave communications poses a big challenge to the resource allocation problems. In this paper, we formulate the optimization problem of D2D communication spectrum resource allocation among multiple micro-wave bands and multiple mm-wave bands in HCNs. Then, considering the totally different propagation conditions on the two bands, a heuristic algorithm is proposed to maximize the system transmission rate and approximate the solutions with sufficient accuracies. Compared with other practical schemes, we carry out extensive simulations with different system parameters, and demonstrate the superior performance of the proposed scheme. In addition, the optimality and complexity are simulated to further verify effectiveness and efficiency.
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