Abstract
We propose a user-scheduling scheme for uplink opportunistic nonorthogonal random access in a finite blocklength Internet-of-Things (IoT) network. The considered system consists of high-priority IoT (HP-IoT) devices requiring strict quality-of-service (QoS) and low-priority IoT (LP-IoT) devices with delay-tolerance. Active LP-IoT devices opportunistically transmit their data subject to the QoS constraints of the HP-IoTs. We first analyze the sum-throughput achieved by the LP-IoT devices. Next, we devise greedy algorithm and Kuhn–Munkres algorithm-based schemes for user scheduling to maximize the throughput. Numerical results are provided to demonstrate the effectiveness of our proposed scheme over the conventional approach.
Original language | English |
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Pages (from-to) | 1056-1059 |
Number of pages | 4 |
Journal | IEEE Systems Journal |
Volume | 17 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Mar 2023 |
Bibliographical note
Publisher Copyright:© 2007-2012 IEEE.
Keywords
- Finite blocklength (FBL)
- quality-of-service (QoS)
- nonorthogonal random access
- opportunistic access
- throughput