On the Gain of Joint Decoding for Multi-Connectivity

Multi-connectivity is considered to be key for enabling reliable transmissions in future wireless networks. Transmission reliability depends on the used combining algorithm such as joint decoding (JD), maximum selection combining (MSC), and maximum ratio combining (MRC). To compare the performance of these combining algorithms we derive their outage probabilities based on distributed source coding. The outage probability is analytically described depending on the number of links, the modulation scheme, the code rate, and the received signal-to-noise-ratios (SNR). We show that JD requires less transmit power than MRC and MSC to achieve a given target outage probability.

[1]  R. A. McDonald,et al.  Noiseless Coding of Correlated Information Sources , 1973 .

[2]  Abbas El Gamal,et al.  Network Information Theory , 2021, 2021 IEEE 3rd International Conference on Advanced Trends in Information Theory (ATIT).

[3]  Ali Ghrayeb,et al.  Coding for MIMO Communication Systems , 2007 .

[4]  M. Eriksson.  Dynamic single frequency networks , 2001, IEEE J. Sel. Areas Commun..

[5]  Xin He,et al.  Exact and Approximated Outage Probability Analyses for Decode-and-Forward Relaying System Allowing Intra-Link Errors , 2014, IEEE Transactions on Wireless Communications.

[6]  Gerhard Fettweis,et al.  Outage Analysis for Decode-and-Forward Multirelay Systems Allowing Intra-Link Errors , 2017, IEEE Wireless Communications Letters.

[7]  Andreas Mitschele-Thiel,et al.  Latency Critical IoT Applications in 5G: Perspective on the Design of Radio Interface and Network Architecture , 2017, IEEE Communications Magazine.

[8]  D. G. Brennan,et al.  Linear diversity combining techniques , 2003 .

[9]  Gerhard Fettweis,et al.  Coordinated Multi-Point in Mobile Communications: From Theory to Practice , 2011 .

[10]  Klaus I. Pedersen,et al.  Signal Quality Outage Analysis for Ultra-Reliable Communications in Cellular Networks , 2015, 2015 IEEE Globecom Workshops (GC Wkshps).

[11]  Gerhard Fettweis,et al.  Achieving high availability in wireless networks by an optimal number of Rayleigh-fading links , 2014, 2014 IEEE Globecom Workshops (GC Wkshps).

[12]  P. D. Doncker,et al.  Correlation for multi-frequency propagation in urban environment , 2012 .

[13]  Khoirul Anwar,et al.  Accumulator-Assisted Distributed Turbo Codes for Relay Systems Exploiting Source-Relay Correlation , 2012, IEEE Communications Letters.

[14]  Hans D. Schotten,et al.  Multi-connectivity functional architectures in 5G , 2016, 2016 IEEE International Conference on Communications Workshops (ICC).

[15]  Gerhard Fettweis,et al.  Diversity-Multiplexing Tradeoff for Multi-Connectivity and the Gain of Joint Decoding , 2017, ArXiv.

[16]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[17]  Gerhard Fettweis,et al.  An Efficient Power Allocation Scheme for Multirelay Systems With Lossy Intra-Links , 2017, IEEE Transactions on Communications.

[18]  Thomas M. Cover,et al.  A Proof of the Data Compression Theorem of Slepian and Wolf for Ergodic Sources , 1971 .