Throughput analysis of buffer-constrained wireless systems in the finite blocklength regime

In this paper, wireless systems operating under queueing constraints in the form of limitations on the buffer violation probabilities are considered. The throughput of wireless systems operating under such constraints is captured by the effective capacity formulation. It is assumed that finite blocklength codes are employed for transmission. Under this assumption, a recent result on the channel coding rate in the finite blocklength regime is incorporated into the analysis and the throughput achieved with such codes in the presence of queueing constraints is identified. Interactions between the effective rate, queueing constraints, error probabilities, and blocklength values are investigated. In particular, it is shown that for given signal-to-noise ratio, blocklength, and quality of service exponent, the effective rate is maximized at a unique decoding error probability value.

[1]  Deli Qiao,et al.  The impact of QoS constraints on the energy efficiency of fixed-rate wireless transmissions , 2008, IEEE Transactions on Wireless Communications.

[2]  Mustafa Cenk Gursoy.  Throughput analysis of buffer-constrained wireless systems in the finite blocklength regime , 2013 .

[3]  Cheng-Shang Chang,et al.  Performance guarantees in communication networks , 2000, Eur. Trans. Telecommun..

[4]  Dapeng Wu,et al.  Effective capacity: a wireless link model for support of quality of service , 2003, IEEE Trans. Wirel. Commun..

[5]  Jia Tang,et al.  Quality-of-service driven power and rate adaptation for multichannel communications over wireless links , 2007, IEEE Transactions on Wireless Communications.

[6]  Parimal Parag,et al.  Quality of Service Analysis for Wireless User-Cooperation Networks , 2007, IEEE Transactions on Information Theory.

[7]  Cheng-Shang Chang,et al.  Effective bandwidths of departure processes from queues with time varying capacities , 1995, Proceedings of INFOCOM'95.

[8]  Jia Tang,et al.  Cross-Layer-Model Based Adaptive Resource Allocation for Statistical QoS Guarantees in Mobile Wireless Networks , 2006, IEEE Transactions on Wireless Communications.

[9]  Matthew C. Valenti,et al.  The information-outage probability of finite-length codes over AWGN channels , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[10]  Deli Qiao,et al.  Energy Efficiency of Fixed-Rate Wireless Transmissions under Queueing Constraints and Channel Uncertainty , 2009, GLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference.

[11]  Jia Tang,et al.  Cross-Layer-Model Based Adaptive Resource Allocation for Statistical QoS Guarantees in Mobile Wireless Networks , 2008, IEEE Trans. Wirel. Commun..

[12]  Rohit Negi,et al.  Analysis of Delay Statistics for the Queued-Code , 2009, 2009 IEEE International Conference on Communications.

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

[14]  Jia Tang,et al.  Quality-of-Service Driven Power and Rate Adaptation over Wireless Links , 2007, IEEE Transactions on Wireless Communications.

[15]  Marcus Hutter,et al.  Distribution of Mutual Information , 2001, NIPS.

[16]  Andrea Goldsmith,et al.  Wireless Communications , 2005, 2021 15th International Conference on Advanced Technologies, Systems and Services in Telecommunications (TELSIKS).

[17]  Rohit Negi,et al.  An information-theoretic approach to queuing in wireless channels with large delay bounds , 2004, IEEE Global Telecommunications Conference, 2004. GLOBECOM '04..

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

[19]  Deli Qiao,et al.  Analysis of Energy Efficiency in Fading Channels under QoS Constraints , 2008, IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference.

[20]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[21]  Cheng-Shang Chang,et al.  Stability, queue length, and delay of deterministic and stochastic queueing networks , 1994, IEEE Trans. Autom. Control..

[22]  Nihar Jindal,et al.  Coding versus ARQ in Fading Channels: How Reliable Should the PHY Be? , 2009, IEEE Transactions on Communications.