IEEE Transactions on Wireless Communications · 2014 · 144 citations · 26 references
EngineeringCommunicationElectrical EngineeringAntennasPropagationWireless CommunicationsCommunication NetworksDevice-to-device CommunicationMobile CommunicationMobile NetworksWireless Channel ModelingWireless NetworksCross-tier InterferenceD2d Underlay NetworksFadingHeterogeneous Cellular NetworksMode SelectionRayleigh FadingRician FadingWireless Network Performance
Device‑to‑device communications in cellular networks boost data rates and coverage but face inter‑tier and intra‑tier interference, and their low‑height links exhibit strong line‑of‑sight components distinct from Rayleigh fading. The study aims to derive success probability, spatial average rate, and area spectral efficiency for cellular and D2D users under Rician fading, and to propose centralized opportunistic access control and mode selection to mitigate cross‑tier interference. Stochastic geometry is employed to obtain closed‑form expressions for the performance metrics, while a centralized opportunistic access control and mode selection scheme is introduced. Analysis and simulations reveal tradeoffs governed by channel propagation, user density, and spectrum occupation, underscoring the need to incorporate realistic propagation models for accurate system design.
Using Device-to-device (D2D) communications in a cellular network is an economical and effective approach to increase the transmission data rate and extend the coverage. Nevertheless, the D2D underlaid cellular network is challenging due to the presence of inter-tier and intra-tier interferences. With necessarily lower antenna heights in D2D communication links, the fading channels are likely to contain strong line-of-sight components, which are different from the Rayleigh fading distribution in conventional two-tier heterogeneous networks. In this paper, we derive the success probability, spatial average rate, and area spectral efficiency performances for both cellular users and D2D users by taking into account the different channel propagations that they experience. Specifically, we employ stochastic geometry as an analysis framework to derive closed-form expressions for above performance metrics. Furthermore, to reduce cross-tier interferences and improve system performances, we propose a centralized opportunistic access control scheme as well as a mode selection mechanism. According to the analysis and simulations, we obtain interesting tradeoffs that depend on the effect of the channel propagation parameter, user node density, and the spectrum occupation ratio on the different performance metrics. This work highlights the importance of incorporating the suitable channel propagation model into the system design and analysis to obtain the realistic results and conclusions.
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