Power Consumption-Oriented Resource Allocation Strategy for Ultra-Reliable Low-Latency Communication

In this paper, we propose the optimal resource allocation strategy for uplink ultra-reliable low-latency communication (URLLC) networks. Specifically, by employing the quality-of-service (QoS)-aware packet scheduling mechanism which is built upon the theory of maximum achievable rate under finite bl...

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Vydané v:IEEE Wireless Communications and Networking Conference : [proceedings] : WCNC s. 1 - 6
Hlavní autori: Xie, Yuncong, Ren, Pinyi, Wang, Yichen, Li, Jiuchao
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.04.2019
Predmet:
Low-Complexity Algorithms
Optimization
Power demand
Quality of service
Reliability
Resource Allocation
Resource management
Ultra-Reliable Low-Latency Communication
Uplink
ISSN:1558-2612
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Shrnutí:In this paper, we propose the optimal resource allocation strategy for uplink ultra-reliable low-latency communication (URLLC) networks. Specifically, by employing the quality-of-service (QoS)-aware packet scheduling mechanism which is built upon the theory of maximum achievable rate under finite blocklength regime, the QoS requirement is described for uplink URLLC transmissions. Then, we formulate the non-convex optimization problem which aims at minimizing the total transmit power consumption of the URLLC network while meeting the QoS requirement as well as the channel assignment and transmit power constraints. By adopting the bipartite weighted graph theory, we design the ORA-KMM algorithm to obtain the optimal joint power and channel allocation strategy. Moreover, two low-complexity suboptimal algorithms, namely BCCG and SSG-LDF, are developed and the impact of spatial diversity on transmission reliability and total transmit power consumption are also analyzed. Simulation results show that our proposed optimal resource allocation strategy can achieve better performance as compared to the developed suboptimal schemes.
ISSN:1558-2612
DOI:10.1109/WCNC.2019.8886096