PER Approximation for Cross-Layer Optimization under Reliability and Energy Constraints

The vision of connecting billions of battery operated devices to be used for diverse emerging applications calls for a wireless communication system that can support stringent reliability and latency requirements. Both reliability and energy efficiency are critical for many of these applications that involve communication with short packets which undermine the coding gain achievable from large packets. In this paper, we first revisit the packet error rate (PER) performance of uncoded schemes in block fading channels and derive a simple and accurate PER expression. Specifically, we show that the waterfall threshold in the PER upper bound in Nakagami-$m$ block fading channels is tightly approximated by the $m$-th moment of an asymptotic distribution of PER in AWGN channel. This PER expression gives an explicit connection between the parameters of both the physical and link layers and the PER. We utilize this connection for cross-layer design and optimization of communication links. To this end, we optimize signal-to-noise ratio (SNR) and modulation order at physical layer, and the packet length and number of retransmissions at link layer with respect to distance under the prescribed delay and reliability constraint.

[1]  Masanori Hamamura,et al.  Performance Tradeoff with Adaptive Frame Length and Modulation in Wireless Network , 2005, The Fifth International Conference on Computer and Information Technology (CIT'05).

[2]  Petar Popovski,et al.  Towards Massive, Ultra-Reliable, and Low-Latency Wireless Communication with Short Packets , 2015 .

[3]  Yong Xi,et al.  Packet Error Rate Analysis and Power Allocation for CC-HARQ Over Rayleigh Fading Channels , 2014, IEEE Communications Letters.

[4]  Andrea J. Goldsmith,et al.  Energy-constrained modulation optimization , 2005, IEEE Transactions on Wireless Communications.

[5]  Xuzheng Lin,et al.  New Exponential Lower Bounds on the Gaussian Q-Function via Jensen's Inequality , 2011, 2011 IEEE 73rd Vehicular Technology Conference (VTC Spring).

[6]  Christian Oberli,et al.  Modulation and SNR Optimization for Achieving Energy-Efficient Communications over Short-Range Fading Channels , 2012, IEEE Transactions on Wireless Communications.

[7]  Alister G. Burr,et al.  A General Upper Bound to Evaluate Packet Error Rate over Quasi-Static Fading Channels , 2011, IEEE Transactions on Wireless Communications.

[8]  Mohamed-Slim Alouini,et al.  Digital Communication over Fading Channels: Simon/Digital Communications 2e , 2004 .

[9]  Gang Wang,et al.  Energy Efficiency and Spectral Efficiency Tradeoff in Type-I ARQ Systems , 2014, IEEE Journal on Selected Areas in Communications.

[10]  Georgios B. Giannakis,et al.  Cross-Layer combining of adaptive Modulation and coding with truncated ARQ over wireless links , 2004, IEEE Transactions on Wireless Communications.

[11]  Tianqi Wang,et al.  Minimization of transceiver energy consumption in wireless sensor networks with AWGN channels , 2008, 2008 46th Annual Allerton Conference on Communication, Control, and Computing.

[12]  Sang Joon Kim,et al.  A Mathematical Theory of Communication , 2006 .

[13]  Aamir Mahmood,et al.  Packet Error Rate Analysis of Uncoded Schemes in Block-Fading Channels Using Extreme Value Theory , 2016, IEEE Communications Letters.

[14]  Yong Xi,et al.  On the Throughput and Optimal Packet Length of an Uncoded ARQ System over Slow Rayleigh Fading Channels , 2012, IEEE Communications Letters.