Optimality of Orthogonal Access for One-Dimensional Convex Cellular Networks

It is shown that a greedy orthogonal access scheme achieves the sum degrees of freedom (DoF) of all one-dimensional (all nodes placed along a straight line) convex cellular networks (where cells are convex regions) when no channel knowledge is available at the transmitters except the knowledge of the network topology. In general, optimality of orthogonal access holds neither for two-dimensional convex cellular networks nor for one-dimensional non-convex cellular networks, thus revealing a fundamental limitation that arises when both one-dimensional and convex properties are simultaneously enforced. The result also establishes the sum capacity of the corresponding class of index coding problems.

[1]  Wei Yu,et al.  Multi-Cell MIMO Cooperative Networks: A New Look at Interference , 2010, IEEE Journal on Selected Areas in Communications.

[2]  Alexandros G. Dimakis,et al.  Bipartite index coding , 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

[3]  Shlomo Shamai,et al.  Information-theoretic considerations for symmetric, cellular, multiple-access fading channels - Part I , 1997, IEEE Trans. Inf. Theory.

[4]  Shlomo Shamai,et al.  Cognitive Wyner Networks With Clustered Decoding , 2012, IEEE Transactions on Information Theory.

[5]  Shlomo Shamai,et al.  Sum Rate Characterization of Joint Multiple Cell-Site Processing , 2007, IEEE Transactions on Information Theory.

[6]  Shlomo Shamai,et al.  Information-theoretic considerations for symmetric, cellular, multiple-access fading channels - Part II , 1997, IEEE Trans. Inf. Theory.

[7]  Syed Ali Jafar,et al.  Index coding: An interference alignment perspective , 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

[8]  Syed Ali Jafar,et al.  Topological Interference Management Through Index Coding , 2013, IEEE Transactions on Information Theory.

[9]  Lele Wang,et al.  On the capacity region for index coding , 2013, 2013 IEEE International Symposium on Information Theory.

[10]  Hua Sun,et al.  Index Coding Capacity: How Far Can One Go With Only Shannon Inequalities? , 2013, IEEE Transactions on Information Theory.

[11]  Shlomo Shamai,et al.  Uplink Macro Diversity of Limited Backhaul Cellular Network , 2008, IEEE Transactions on Information Theory.

[12]  Navid Naderializadeh,et al.  Interference Networks With no CSIT: Impact of Topology , 2013, IEEE Transactions on Information Theory.

[13]  Syed Ali Jafar Elements of Cellular Blind Interference Alignment - Aligned Frequency Reuse, Wireless Index Coding and Interference Diversity , 2012, ArXiv.

[14]  Yitzhak Birk,et al.  Informed-source coding-on-demand (ISCOD) over broadcast channels , 1998, Proceedings. IEEE INFOCOM '98, the Conference on Computer Communications. Seventeenth Annual Joint Conference of the IEEE Computer and Communications Societies. Gateway to the 21st Century (Cat. No.98.

[15]  Aaron D. Wyner,et al.  Shannon-theoretic approach to a Gaussian cellular multiple-access channel , 1994, IEEE Trans. Inf. Theory.

[16]  Robert D. Kleinberg,et al.  Index coding via linear programming , 2010, ArXiv.

[17]  Jeffrey G. Andrews,et al.  On the Accuracy of the Wyner Model in Cellular Networks , 2010, IEEE Transactions on Wireless Communications.

[18]  Shlomo Shamai,et al.  Linear Precoding Bounds for Wyner-Type Cellular Networks With Limited Base-Station Cooperation and Dynamic Clustering , 2012, IEEE Transactions on Signal Processing.

[19]  Shlomo Shamai,et al.  Clustered local decoding for Wyner-type cellular models , 2009, 2009 Information Theory and Applications Workshop.