Capacity bounds on the downlink of symmetric, multi-relay, single receiver C-RAN networks

The downlink of symmetric Cloud Radio Access Networks (C-RANs) with multiple relays and a single receiver is studied. Lower and upper bounds are derived on the capacity. The lower bound is achieved by Marton's coding which facilitates dependence among the multiple-access channel inputs. The upper bound uses Ozarow's technique to augment the system with an auxiliary random variable. The bounds are studied over scalar Gaussian C-RANs and are shown to meet and characterize the capacity for interesting regimes of operation.

[1]  Joy A. Thomas,et al.  Feedback can at most double Gaussian multiple access channel capacity , 1987, IEEE Trans. Inf. Theory.

[2]  L. Ozarow,et al.  On a source-coding problem with two channels and three receivers , 1980, The Bell System Technical Journal.

[3]  Wei Yu,et al.  Sparse Beamforming and User-Centric Clustering for Downlink Cloud Radio Access Network , 2014, IEEE Access.

[4]  Shlomo Shamai,et al.  Joint Precoding and Multivariate Backhaul Compression for the Downlink of Cloud Radio Access Networks , 2013, IEEE Transactions on Signal Processing.

[5]  D. Traskov,et al.  Reliable Communication in Networks with Multi-access Interference , 2007, 2007 IEEE Information Theory Workshop.

[6]  Vivek K. Goyal,et al.  Multiple description coding with many channels , 2003, IEEE Trans. Inf. Theory.

[7]  Nan Liu,et al.  A new achievability scheme for downlink multicell processing with finite backhaul capacity , 2014, 2014 IEEE International Symposium on Information Theory.

[8]  Nan Liu,et al.  The Gaussian multiple access diamond channel , 2011, 2011 IEEE International Symposium on Information Theory Proceedings.

[9]  Shlomo Shamai,et al.  An upper bound on the sum capacity of the downlink multicell processing with finite backhaul capacity , 2017, 2017 IEEE International Symposium on Information Theory (ISIT).

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

[11]  Wei Yu,et al.  Hybrid compression and message-sharing strategy for the downlink cloud radio-access network , 2014, 2014 Information Theory and Applications Workshop (ITA).

[12]  H. Vincent Poor,et al.  Fronthaul-constrained cloud radio access networks: insights and challenges , 2015, IEEE Wireless Communications.

[13]  Gerhard Kramer,et al.  Capacity Bounds for Diamond Networks With an Orthogonal Broadcast Channel , 2015, IEEE Transactions on Information Theory.

[14]  Gerhard Kramer,et al.  Capacity bounds for a class of diamond networks , 2014, 2014 IEEE International Symposium on Information Theory.

[15]  Shlomo Shamai,et al.  Fronthaul Compression for Cloud Radio Access Networks: Signal processing advances inspired by network information theory , 2014, IEEE Signal Processing Magazine.

[16]  Abdellatif Zaidi,et al.  On Achievability for Downlink Cloud Radio Access Networks with Base Station Cooperation , 2016, 2017 IEEE Wireless Communications and Networking Conference (WCNC).