Second-Order Performance of Early Decoding with Shell Codes in Gaussian Broadcast Channels

We investigate early decoding in a Gaussian broadcast channel with heterogeneous blocklength constraints when shell codes are used. By shell codes, we refer to non-i.i.d. codes that fulfill the power constraint with equality. Early decoding is a technique where one user can perform successive interference cancellation with an interference codeword that is not yet fully received. By decoding the interfering shell codeword earlier, it loses the shell property, making the statistical error analysis more challenging. We address this by using composite shell codes in combination with change of measure techniques and the Berry-Esseen Theorem for functions. We derive a bound on the minimum number of symbols that is required to successfully early decode the interference and we characterize the rate region when shell codewords are used. Numerical results show a latency reduction that is at least doubled compared to the state of the art as well as a much broader range of feasible input powers, leading to a significantly improved rate region compared to previous results on early decoding.

[1]  Eduard Axel Jorswieck,et al.  Rate Region of Gaussian Broadcast Channels with Heterogeneous Blocklength Constraints , 2022, ICC 2022 - IEEE International Conference on Communications.

[2]  Michèle A. Wigger,et al.  An Information-Theoretic View of Mixed-Delay Traffic in 5G and 6G , 2022, Entropy.

[3]  Eduard Axel Jorswieck,et al.  New Inner and Outer Bounds for Gaussian Broadcast Channels with Heterogeneous Blocklength Constraints , 2022, 2202.02110.

[4]  Eduard A. Jorswieck,et al.  Early Decoding for Gaussian Broadcast Channels with Heterogeneous Blocklength Constraints , 2021, 2021 IEEE International Symposium on Information Theory (ISIT).

[5]  Daniela Tuninetti,et al.  The Gaussian Broadcast Channels with a Hard Deadline and a Global Reliability Constraint , 2021, ICC 2021 - IEEE International Conference on Communications.

[6]  O. Kosut A Second-Order Converse Bound for the Multiple-Access Channel via Wringing Dependence , 2020, IEEE Transactions on Information Theory.

[7]  Recep Can Yavas,et al.  Gaussian Multiple and Random Access Channels: Finite-Blocklength Analysis , 2020, IEEE Transactions on Information Theory.

[8]  Chao Shen,et al.  Transmission Energy Minimization for Heterogeneous Low-Latency NOMA Downlink , 2018, IEEE Transactions on Wireless Communications.

[9]  Daniela Tuninetti,et al.  Scheduling on the Gaussian Broadcast Channel with Hard Deadlines , 2018, 2018 IEEE International Conference on Communications (ICC).

[10]  Jean-Marie Gorce,et al.  The dispersion of superposition coding for Gaussian broadcast channels , 2017, 2017 IEEE Information Theory Workshop (ITW).

[11]  Vincent Y. F. Tan,et al.  The dispersion of nearest-neighbor decoding for additive non-Gaussian channels , 2016, 2016 IEEE International Symposium on Information Theory (ISIT).

[12]  J. Nicholas Laneman,et al.  A Second-Order Achievable Rate Region for Gaussian Multi-Access Channels via a Central Limit Theorem for Functions , 2015, IEEE Transactions on Information Theory.

[13]  Mehul Motani,et al.  A Case Where Interference Does Not Affect the Channel Dispersion , 2014, IEEE Transactions on Information Theory.

[14]  Vincent Y. F. Tan,et al.  Second-order asymptotics for the gaussian MAC with degraded message sets , 2013, 2014 IEEE International Symposium on Information Theory.

[15]  Vincent Y. F. Tan,et al.  On the dispersions of three network information theory problems , 2012, 2012 46th Annual Conference on Information Sciences and Systems (CISS).

[16]  Ronald F. Boisvert,et al.  NIST Handbook of Mathematical Functions , 2010 .

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

[18]  Masahito Hayashi,et al.  Information Spectrum Approach to Second-Order Coding Rate in Channel Coding , 2008, IEEE Transactions on Information Theory.