On the finite blocklength performance of HARQ in modern wireless systems

Future wireless communications will face the dual challenge of supporting large traffic volume while providing reliable service for various kinds of delay-sensitive traffic. In the light of this challenge, this paper investigates the throughput performance of hybrid automatic repeat request (HARQ) systems under finite blocklength constraint. We present a framework to compute the maximum achievable rate with HARQ over the Rayleigh fading channel for a given probability of error. In the proposed framework, the operation of HARQ over the Rayleigh fading channel is modeled as a finite-state Markov chain. The state transition probabilities of the proposed Markov model are estimated from the fading characteristics of the wireless channel as well as the dispersion associated with different channel state sequence realizations. With this framework we are able to link the HARQ throughput performance to the characteristics of the underlying physical channel as well as the system design parameters such as modulation and transmit power. Furthermore, we discuss the relationship between the system throughput, and the number of HARQ rounds. The results show that the required number of HARQ rounds to take full advantage of HARQ depends on the choice of modulation, and varies as a function of the signal-to-noise ratio (SNR).

[1]  Philip S. Yu,et al.  A Hybrid ARQ Scheme with Parity Retransmission for Error Control of Satellite Channels , 1982, IEEE Trans. Commun..

[2]  Tho Le-Ngoc,et al.  Performance analysis of incremental redundancy type hybrid ARQ for finite-length packets in AWGN channel , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[3]  Nihar Jindal,et al.  Coding versus ARQ in Fading Channels: How Reliable Should the PHY Be? , 2011, IEEE Trans. Commun..

[4]  E. Gilbert Capacity of a burst-noise channel , 1960 .

[5]  Theodore S. Rappaport,et al.  Wireless communications - principles and practice , 1996 .

[6]  E. O. Elliott Estimates of error rates for codes on burst-noise channels , 1963 .

[7]  Hong Shen Wang,et al.  Finite-state Markov channel-a useful model for radio communication channels , 1995 .

[8]  Parimal Parag,et al.  Resource Allocation and Quality of Service Evaluation for Wireless Communication Systems Using Fluid Models , 2007, IEEE Transactions on Information Theory.

[9]  W. C. Jakes,et al.  Microwave Mobile Communications , 1974 .

[10]  Saleem A. Kassam,et al.  Finite-state Markov model for Rayleigh fading channels , 1999, IEEE Trans. Commun..

[11]  H. Vincent Poor,et al.  Dispersion of the Gilbert-Elliott Channel , 2011, IEEE Trans. Inf. Theory.

[12]  Gregory H. Huff,et al.  Performance analysis of wireless hybrid-ARQ systems with delay-sensitive traffic , 2010, IEEE Transactions on Communications.

[13]  Asuman E. Ozdaglar,et al.  Avoiding Interruptions — A QoE Reliability Function for Streaming Media Applications , 2011, IEEE Journal on Selected Areas in Communications.

[14]  H. Vincent Poor,et al.  Channel Coding Rate in the Finite Blocklength Regime , 2010, IEEE Transactions on Information Theory.

[15]  Lingjia Liu,et al.  Channel coding over finite transport blocks in modern wireless systems , 2013, 2013 IEEE Global Communications Conference (GLOBECOM).

[16]  Emina Soljanin,et al.  Hybrid ARQ: Theory, State of the Art and Future Directions , 2007, 2007 IEEE Information Theory Workshop on Information Theory for Wireless Networks.

[17]  H. Vincent Poor,et al.  Feedback in the Non-Asymptotic Regime , 2011, IEEE Transactions on Information Theory.

[18]  Lingjia Liu,et al.  On coding over finite “packets” in wireless communication systems , 2013, 2013 IEEE International Conference on Communications (ICC).

[19]  Shu Lin,et al.  A Modified Selective-Repeat Type-II Hybrid ARQ System and Its Performance Analysis , 1983, IEEE Trans. Commun..