Fundamentals of Inter-Cell Overhead Signaling in Heterogeneous Cellular Networks

Heterogeneous base stations (e.g., picocells, microcells, femtocells, and distributed antennas) will become increasingly essential for cellular network capacity and coverage. Up until now, little basic research has been done on the fundamentals of managing so much infrastructure-much of it unplanned-together with the carefully planned macro-cellular network. Inter-cell coordination is in principle an effective way of ensuring different infrastructure components behave in a way that increases, rather than decreases, the key quality of service (QoS) metrics. The success of such coordination depends heavily on how the overhead is shared, and the rate and delay of the overhead sharing. We develop a novel framework to quantify overhead signaling for inter-cell coordination, which is usually ignored in traditional 1-tier networks, and assumes even more importance in multi-tier heterogeneous cellular networks (HCNs). We derive the overhead quality contour for general -tier HCNs-the achievable set of overhead packet rate, size, delay, and outage probability-in closed-form expressions or computable integrals under general assumptions on overhead arrivals and different overhead signaling methods (backhaul and/or wireless). The overhead quality contour is further simplified for two widely used models of overhead arrivals: Poisson and deterministic arrival process. This framework can be used in the design and evaluation of any inter-cell coordination scheme. It also provides design insights on backhaul and wireless overhead channels to handle specific overhead signaling requirements.

[1]  Sean A. Ramprashad,et al.  Cellular vs. Network MIMO: A comparison including the channel state information overhead , 2009, 2009 IEEE 20th International Symposium on Personal, Indoor and Mobile Radio Communications.

[2]  Myron Hlynka,et al.  Queueing Networks and Markov Chains (Modeling and Performance Evaluation With Computer Science Applications) , 2007, Technometrics.

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

[4]  Stephen G. Walker,et al.  On the Distribution of Sums of Independent Exponential Random Variables Via Wilks’ Integral Representation , 2010 .

[5]  Jeffrey G. Andrews,et al.  A Tractable Approach to Coverage and Rate in Cellular Networks , 2010, IEEE Transactions on Communications.

[6]  Ashwin Sampath,et al.  Downlink Scheduling for Multiclass Traffic in LTE , 2009, EURASIP J. Wirel. Commun. Netw..

[7]  Jeffrey G. Andrews,et al.  Fundamentals of Lte , 2010 .

[8]  Jeffrey G. Andrews,et al.  Femtocell networks: a survey , 2008, IEEE Communications Magazine.

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

[10]  Naga Bhushan,et al.  LTE-Advanced: Heterogeneous networks , 2010, 2010 European Wireless Conference (EW).

[11]  G.K. Venkatesan,et al.  Wireless backhaul for LTE - requirements, challenges and options , 2008, 2008 2nd International Symposium on Advanced Networks and Telecommunication Systems.

[12]  Robert W. Heath,et al.  An overview of limited feedback in wireless communication systems , 2008, IEEE Journal on Selected Areas in Communications.

[13]  Shlomo Shamai,et al.  Enhancing the cellular downlink capacity via co-processing at the transmitting end , 2001, IEEE VTS 53rd Vehicular Technology Conference, Spring 2001. Proceedings (Cat. No.01CH37202).

[14]  Reinaldo A. Valenzuela,et al.  Coordinating multiple antenna cellular networks to achieve enormous spectral efficiency , 2006 .

[15]  Jeffrey G. Andrews,et al.  Heterogeneous Cellular Networks with Flexible Cell Association: A Comprehensive Downlink SINR Analysis , 2011, IEEE Transactions on Wireless Communications.

[16]  Per Synnergren,et al.  Effects of QoS Scheduling Strategies on Performance of Mixed Services over LTE , 2007, 2007 IEEE 18th International Symposium on Personal, Indoor and Mobile Radio Communications.

[17]  Jeffrey G. Andrews,et al.  Multi-Mode Transmission for the MIMO Broadcast Channel with Imperfect Channel State Information , 2009, IEEE Transactions on Communications.

[18]  Jeffrey G. Andrews,et al.  Uplink capacity and interference avoidance for two-tier femtocell networks , 2007, IEEE Transactions on Wireless Communications.

[19]  Joydeep Acharya,et al.  Fundamentals of LTE , 2014 .

[20]  Shlomo Shamai,et al.  On the impact of limited-capacity backhaul and inter-users links in cooperative multicell networks , 2008, 2008 42nd Annual Conference on Information Sciences and Systems.

[21]  Sean A. Ramprashad,et al.  Cellular and Network MIMO architectures: MU-MIMO spectral efficiency and costs of channel state information , 2009, 2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers.

[22]  Jeffrey G. Andrews,et al.  Distributed Antenna Systems with Randomness , 2008, IEEE Transactions on Wireless Communications.

[23]  Mohammad Ali Maddah-Ali,et al.  Completely Stale Transmitter Channel State Information is Still Very Useful , 2010, IEEE Transactions on Information Theory.

[24]  Lars Thiele,et al.  Coordinated multipoint: Concepts, performance, and field trial results , 2011, IEEE Communications Magazine.

[25]  A. Stolyar,et al.  Closed-Form Expressions for Other-Cell Interference in Cellular CDMA , 1997 .

[26]  Jeffrey G. Andrews,et al.  Modeling and Analysis of K-Tier Downlink Heterogeneous Cellular Networks , 2011, IEEE Journal on Selected Areas in Communications.

[27]  Jeffrey G. Andrews,et al.  Outage Probability for Heterogeneous Cellular Networks with Biased Cell Association , 2011, 2011 IEEE Global Telecommunications Conference - GLOBECOM 2011.

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

[29]  S. Amari,et al.  Closed-form expressions for distribution of sum of exponential random variables , 1997 .