Indoor Visible Light Communication Scheduling for IOT Scenarios with Short Blocklength

We consider visible light communication (VLC) for Industrial Internet of Things (IOT), where multi-user area aggregation and distributed scheduling are adopted to improve network throughput and reduce user packet loss rate. For one thing, because of the massive connection, it faces huge computational complexity, and for another, when allocating limited resources, it is also necessary to consider the quality of service requirements. Based on the above requirements, we have proposed an approach of user area aggregation and maximizing the user sum throughput. In addition, we consider short packet transmission as the control message in Industry 4.0, and derive the achievable transmission rate of short packet. To solve the optimization problem, we adopt the Markov decision process (MDP). Simulation results show the performance gain over the conventional Round-robin method.

[1]  Limin Xiao,et al.  Delay-aware resource allocation and power control for device-to-device communications , 2015, 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[2]  M. Khalighi,et al.  Impact of different noise sources on the performance of PIN- and APD-based FSO receivers , 2011, Proceedings of the 11th International Conference on Telecommunications.

[3]  Masao Nakagawa,et al.  Fundamental analysis for visible-light communication system using LED lights , 2004, IEEE Transactions on Consumer Electronics.

[4]  Enlu Zhou,et al.  Weakly Coupled Dynamic Program: Information and Lagrangian Relaxations , 2014, IEEE Transactions on Automatic Control.

[5]  Lajos Hanzo,et al.  Anticipatory Association for Indoor Visible Light Communications: Light, Follow Me! , 2018, IEEE Transactions on Wireless Communications.

[6]  H. Vincent Poor,et al.  Channel Coding Rate in the Finite Blocklength Regime , 2010, IEEE Transactions on Information Theory.

[7]  A. Stolyar,et al.  LARGEST WEIGHTED DELAY FIRST SCHEDULING: LARGE DEVIATIONS AND OPTIMALITY , 2001 .

[8]  Vincent K. N. Lau,et al.  Delay-Optimal Resource Allocation for OFDMA Systems via Stochastic Approximation , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[9]  Geoffrey Ye Li,et al.  Resource Allocation for D2D-Enabled Vehicular Communications , 2017, IEEE Transactions on Communications.

[10]  Sergio Verdú,et al.  Scalar coherent fading channel: Dispersion analysis , 2011, 2011 IEEE International Symposium on Information Theory Proceedings.

[11]  Gustavo de Veciana,et al.  Joint Scheduling of URLLC and eMBB Traffic in 5G Wireless Networks , 2017, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications.

[12]  R. Gagliardi,et al.  Performance of Optical Receivers with Avalanche Photodetection , 1979, IEEE Trans. Commun..

[13]  Nurul H. Mahmood,et al.  5G Centralized Multi-Cell Scheduling for URLLC: Algorithms and System-Level Performance , 2018, IEEE Access.

[14]  Harald Haas,et al.  Downlink cooperation with fractional frequency reuse in DCO-OFDMA optical attocell networks , 2016, 2016 IEEE International Conference on Communications (ICC).