Title: Cross-layer transmission design in a class of delay-aware two-user interference networks

Authors: Muhu Li; Ping Wang; Chao Wang; Fuqiang Liu; Yusheng Ji

Addresses: College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China ' College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China ' College of Electronics and Information Engineering, Tongji University, Shanghai 201804, China; Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai, 200240, China ' College of Electronics and Information Engineering, College of Design and Innovation, Tongji University, Shanghai 201804, China ' National Institute of Informatics, Tokyo 101-8430, Japan

Abstract: This paper investigates the transmission design problem in a class of two-user interference networks where each source sends two types of delay-sensitive message to its destination. The first type is generated periodically with a fixed rate and is desired to be delivered immediately with sufficiently high reliability. The second type, generated randomly, can be placed in queues but the average queueing delay should be finite. Each user applies point-to-point Gaussian random codes to transmit information, using constrained instantaneous and average powers. We utilise the Lyapunov optimisation theory to construct a cross-layer transmission strategy, which can adapt to both the channel state information (CSI) at the physical layer and the queue state information at the media access control layer. Our results show that the proposed strategy can achieve a better tradeoff among power consumption, transmission reliability, and queueing delay, compared with the conventional CSI-based transmission design.

Keywords: wireless interference networks; cross-layer transmission design; power allocation; Lyapunov optimisation.

DOI: 10.1504/IJSCIP.2018.092308

International Journal of System Control and Information Processing, 2018 Vol.2 No.3, pp.191 - 218

Received: 29 Jul 2017
Accepted: 25 Oct 2017

Published online: 30 May 2018 *

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