Abstract
In this chapter, we consider a point-to-point communications link over a fading channel with randomly arriving data at the source buffer for transmission to the destination. For delay quality-of-service (QoS) requirement, (maximum) average delay constraint is imposed. Also, the source is assumed to have (maximum) average power constraint. To avoid constraint violation, it is assumed that only a portion of the arriving data can be buffered (or admitted). Note that the considered data buffer admission control is different from the common user (or stream) admission control. In the latter case, we admit a particular user (among many users) into the system while in the former, we admit data packets of an already admitted user (or stream) into the transmission buffer. Under such settings, this chapter studies the joint data admission control-power allocation (AC-PA) to maximize the throughput defined as the average admitted rate. In particular, we first analyze the structural properties of the optimal AC-PA policy with respect to fading channel, data arrival, and queue length states. We then propose an online AC-PA algorithm when the statistical knowledge of the system random channel fading, and data arrival processes is unknown.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
R. S. Sutton, and A. G. Barto, Reinforcement Learning: An Introduction. The MIT Press, 1998.
M. J. Neely, “Energy Optimal Control for Time Varying Wireless Networks,” IEEE Trans. Infor. Theory, vol. 52, no. 7, pp. 2915–2934, July 2006.
R. Berry, and R. Gallager, “Communication over Fading Channels with Delay Constraints,” IEEE Trans. Infor. Theory, vol. 48, no. 5, pp. 1135–1149, May 2002.
F. Fu, and M. van der Schaar, “Structure-Aware Stochastic Control for Transmission Scheduling,” IEEE Trans. Veh. Tech., vol. 61, no. 9, pp. 3931–3945, Nov. 2012.
E. Altman, Constrained Markov Decision Processes: Stochastic Modeling. London, UK.: Chapman & Hall CRC, 1999.
D. Djonin, and V. Krishnamurthy, “Q-Learning Algorithms for Constrained Markov Decision Processes with Randomized Monotone Policies: Applications to MIMO Transmission Control,” IEEE Trans. Signal Process., vol. 55, no. 5, pp. 2170–2181, May 2007.
N. Salodkar, A. Bhorkar, A. Karandikar, and V. S. Borkar, “On-Line Learning Algorithm for Energy Efficient Delay Constrained Scheduling over Fading Channel,” IEEE J. Sel. Areas Commun., vol. 26, no. 4, pp. 732–742, May 2008.
R. Amir, “Supermodularity and Complementarity in Economics: An Elementary Survey,” Southern Economic Journal, vol. 71, no. 3, pp. 636–660, 2005.
V. S. Borkar, Stochastic Approximation: A Dynamical Systems Viewpoint. Cambridge University Press, 2008.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this chapter
Cite this chapter
Le-Ngoc, T., Phan, K.T. (2017). Joint Data Admission Control and Power Allocation Over Fading Channel Under Average Delay Constraint. In: Radio Resource Allocation Over Fading Channels Under Statistical Delay Constraints. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-57693-0_3
Download citation
DOI: https://doi.org/10.1007/978-3-319-57693-0_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-57692-3
Online ISBN: 978-3-319-57693-0
eBook Packages: EngineeringEngineering (R0)