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The emerging dynamic Virtual Reality (VR) applications are the best candidateapplications in high bandwidth indoor Terahertz (THz) wireless networks, withthe Reconfigurable Intelligent Surface (RIS) devices presenting a breakthroughsolution in extending the typically short THz communication range andalleviating line-of-sight link blockages. In future smart factories, it isenvisioned that factory workers will use VR devices via VR application datawith high quality resolution, while transmitting over THz links and RISdevices, enabled by the Mobile Edge Computing (MEC) capabilities. Since indoorRIS placement is static, whereas VR users move and send multiple VR datadownload requests simultaneously, there is a challenge of proper network loadbalancing, which if unaddressed can result in poor resource utilization and lowthroughput. To address this challenge, we propose a parallel downlink datadistribution system and develop multi-criteria optimization solutions that canimprove throughput, while transmitting each downlink data flow over a set ofpossible paths between source and destination devices. The results show thatthe proposed system can enhance the performance in terms of throughput benefit,as compared to the system using one serial download link distribution.

Parallel Downlink Data Distribution in Indoor Multi-hop THz Networks