On the age of Channel State Information for non-reciprocal wireless links

We present a framework to study the effect of outdated Channel State Information (CSI) on the performance of a non-reciprocal wireless link. The proposed framework is based on the new concept of age of information. We adopt the Gilbert-Elliot channel model to obtain analytic results regarding the use of periodic CSI feedback and investigate the effect of the age of CSI when multiple orthogonal resource blocks are assigned to a communication link. A general utility function is defined as performance metric, which accounts for the cost of feedback. Our work improves the comprehension about the age of channel state information and its effect on the performance of communication links, which is fundamental for designing efficient adaptation functions and feedback protocols.

[1]  Anthony Ephremides,et al.  Age of information under random updates , 2013, 2013 IEEE International Symposium on Information Theory.

[2]  Haim H. Permuter,et al.  Capacity Region of Finite State Multiple-Access Channels With Delayed State Information at the Transmitters , 2011, IEEE Transactions on Information Theory.

[3]  David Tse,et al.  Fundamentals of Wireless Communication , 2005 .

[4]  Roy D. Yates,et al.  Real-time status updating: Multiple sources , 2012, 2012 IEEE International Symposium on Information Theory Proceedings.

[5]  Stefania Sesia,et al.  LTE - The UMTS Long Term Evolution, Second Edition , 2011 .

[6]  Giuseppe Caire,et al.  Training and Feedback Optimization for Multiuser MIMO Downlink , 2009, IEEE Transactions on Communications.

[7]  Marian Codreanu,et al.  Age of information with packet management , 2014, 2014 IEEE International Symposium on Information Theory.

[8]  Dennis Goeckel,et al.  Adaptive coding for time-varying channels using outdated fading estimates , 1999, IEEE Trans. Commun..

[9]  Harish Viswanathan.  Capacity of Markov Channels with Receiver CSI and Delayed Feedback , 1999, IEEE Trans. Inf. Theory.

[10]  Rick S. Blum,et al.  Adaptive OFDM Systems With Imperfect Channel State Information , 2006, IEEE Transactions on Wireless Communications.

[11]  Richard Bellman,et al.  Introduction to Matrix Analysis , 1972 .

[12]  Larry J. Greenstein,et al.  Multi-User and Single-User Throughputs for Downlink MIMO Channels with Outdated Channel State Information , 2014, IEEE Wireless Communications Letters.

[13]  W. Stewart,et al.  The Kronecker product and stochastic automata networks , 2004 .

[14]  Stefan Valentin,et al.  Studying the Sum Capacity of Mobile Multiuser Diversity Systems with Feedback Errors and Delay , 2010, 2010 IEEE 72nd Vehicular Technology Conference - Fall.

[15]  Roy D. Yates,et al.  Real-time status: How often should one update? , 2012, 2012 Proceedings IEEE INFOCOM.