eMBB-URLLC Resource Slicing: A Risk-Sensitive Approach
February 05, 2019 Β· Declared Dead Β· π IEEE Communications Letters
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Authors
Madyan Alsenwi, Nguyen H. Tran, Mehdi Bennis, Anupam Kumar Bairagi, Choong Seon Hong
arXiv ID
1902.01648
Category
cs.NI: Networking & Internet
Citations
200
Venue
IEEE Communications Letters
Last Checked
4 months ago
Abstract
Ultra Reliable Low Latency Communication (URLLC) is a 5G New Radio (NR) application that requires strict reliability and latency. URLLC traffic is usually scheduled on top of the ongoing enhanced Mobile Broadband (eMBB) transmissions (i.e., puncturing the current eMBB transmission) and cannot be queued due to its hard latency requirements. In this letter, we propose a risk-sensitive based formulation to allocate resources to the incoming URLLC traffic while minimizing the risk of the eMBB transmission (i.e., protecting the eMBB users with low data rate) and ensuring URLLC reliability. Specifically, the Conditional Value at Risk (CVaR) is introduced as a risk measure for eMBB transmission. Moreover, the reliability constraint of URLLC is formulated as a chance constraint and relaxed based on Markov's inequality. We decompose the formulated problem into two subproblems in order to transform it into a convex form and then alternatively solve them until convergence. Simulation results show that the proposed approach allocates resources to the incoming URLLC traffic efficiently while satisfying the reliability of both eMBB and URLLC.
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