SINR-Constrained Joint Scheduling and Optimal Resource Allocation in VLC Based WPAN System
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A joint scheduling and optimal resource allocation scheme for wireless personal area network using visible light is proposed. In current IEEE 802.15.7 standard, multiple channel scheduling in medium access control (MAC) layer and variable data rate opportunity in physical layer (PHY) are performed separately. Therefore, the resources are not utilized effectively owing to the exclusion of channel variable characteristics during the scheduling. In this paper, the case for combining the PHY and MAC layer into a cross-layer platform is conducted for utilizing the resources efficiently. Generally in visible light communication (VLC) system, data rate of one link impacts on its neighbor link due to their high signal-to-noise ratio and this impact varies gradually according to some perspectives such as, field-of-view interaction and distance, hence allocated rate of both users could be dissipated. Moreover, the cell radius in VLC system is small compared with other small cell network and users from adjacent cells impact on transmission link which arises co-channel interference. To solve these problems, a novel joint scheduling and rate allocation (JSRA) algorithm associated with throughput maximization and channel-state has been proposed in VLC scenario. The objective of JSRA model is, each channel can determine the feasibility of its rate which always intends to increase, by exploiting the constraint value of signal-to-interference-plus-noise ratio (SINR) of that scheduled channel. The results show that the performance of joint control approach increases the total system average throughput and the spectral efficiency.
KeywordsVisible light communication Scheduling Cross-layer Rate allocation WPAN SINR Spectral efficiency
This work was supported by the IT R&D program of MKE/KEIT [10035362, Development of Home Network Technology based on LED-ID]. This work was also supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2013057922).
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