Optimal Power and Rate Control for Minimal Average Delay: The Single-User Case

Contemporary wireless systems combine aspects of network theory such as scheduling, throughput, and delay as well as information theory aspects such as capacity, coding, and power control. Design of such systems requires joint optimization of both network and physical layers. In this paper, we analyze a single-user communication system composed of a transmitter preceded by a queue used for retransmissions, Gaussian block-fading channel, and a receiver. The system average delay is optimized by using combined power/rate control under average power constraints. Dynamic programming is used for calculating the optimized policies using numerical analysis as well as analytic analysis for asymptotically large buffer size. Asymptotic results are obtained for all combinations of fixed or variable power and rate controls. The most important result extends the "water-filling" result for systems with average delay constraint

[1]  Gaston H. Gonnet,et al.  On the LambertW function , 1996, Adv. Comput. Math..

[2]  Dimitri P. Bertsekas,et al.  Dynamic Programming and Optimal Control, Two Volume Set , 1995 .

[3]  Rene L. Cruz,et al.  Transmission Policies for Time Varying Channels with Average Delay Constraints , 1999 .

[4]  Elif Uysal-Biyikoglu,et al.  Energy-efficient packet transmission over a wireless link , 2002, TNET.

[5]  L. Schrage,et al.  Queueing systems, Vol. I: Theory , 1977, Proceedings of the IEEE.

[6]  H. Boche,et al.  Queueing theoretic optimal scheduling for multiple input multiple output multiple access channel , 2003, Proceedings of the 3rd IEEE International Symposium on Signal Processing and Information Technology (IEEE Cat. No.03EX795).

[7]  Dimitri P. Bertsekas,et al.  Data Networks , 1986 .

[8]  Raymond Knopp,et al.  Information capacity and power control in single-cell multiuser communications , 1995, Proceedings IEEE International Conference on Communications ICC '95.

[9]  Eytan Modiano,et al.  Optimal energy allocation and admission control for communications satellites , 2003, TNET.

[10]  Pravin Varaiya,et al.  Capacity of fading channels with channel side information , 1997, IEEE Trans. Inf. Theory.

[11]  Elif Uysal-Biyikoglu,et al.  Energy-efficient transmission over a wireless link via lazy packet scheduling , 2001, Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213).

[12]  Robert M. Corless,et al.  A sequence of series for the Lambert W function , 1997, ISSAC.

[13]  Irene A. Stegun,et al.  Handbook of Mathematical Functions. , 1966 .

[14]  Shlomo Shamai,et al.  Fading Channels: Information-Theoretic and Communication Aspects , 1998, IEEE Trans. Inf. Theory.

[15]  Adam Shwartz,et al.  Large Deviations For Performance Analysis , 2019 .

[16]  Andrea J. Goldsmith,et al.  Wireless link adaptation policies: QoS for deadline constrained traffic with imperfect channel estimates , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[17]  Edmund M. Yeh,et al.  Throughput and delay optimal resource allocation in multiaccess fading channels , 2003, IEEE International Symposium on Information Theory, 2003. Proceedings..

[18]  David Tse,et al.  Multiaccess Fading Channels-Part I: Polymatroid Structure, Optimal Resource Allocation and Throughput Capacities , 1998, IEEE Trans. Inf. Theory.

[19]  L. Sennott Stochastic Dynamic Programming and the Control of Queueing Systems , 1998 .

[20]  Richard L. Tweedie,et al.  Markov Chains and Stochastic Stability , 1993, Communications and Control Engineering Series.

[21]  Onésimo Hernández-Lerma,et al.  Controlled Markov Processes , 1965 .

[22]  Ashutosh Sabharwal,et al.  Delay-bounded packet scheduling of bursty traffic over wireless channels , 2004, IEEE Transactions on Information Theory.

[23]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .

[24]  Shu Lin,et al.  Automatic-repeat-request error-control schemes , 1984, IEEE Communications Magazine.

[25]  Mohamed-Slim Alouini,et al.  A unified approach to the performance analysis of digital communication over generalized fading channels , 1998, Proc. IEEE.

[26]  Andrea J. Goldsmith,et al.  Optimal power control and source-channel coding for delay constrained traffic over wireless channels , 2002, 2002 IEEE International Conference on Communications. Conference Proceedings. ICC 2002 (Cat. No.02CH37333).

[27]  Emre Telatar,et al.  Combining Queueing Theory with Information Theory for Multiaccess , 1995, IEEE J. Sel. Areas Commun..

[28]  R. M. Loynes,et al.  The stability of a queue with non-independent inter-arrival and service times , 1962, Mathematical Proceedings of the Cambridge Philosophical Society.

[29]  Anthony Ephremides,et al.  Information Theory and Communication Networks: An Unconsummated Union , 1998, IEEE Trans. Inf. Theory.

[30]  Holger Boche,et al.  Channel aware scheduling for multiple antenna multiple access channels , 2003, The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003.

[31]  John M. Cioffi,et al.  Delay-constrained capacity with causal feedback , 2002, IEEE Trans. Inf. Theory.