Micro Base Station Aided Failover for Multicast Scheduling in Wireless Cellular Networks

We consider scheduling mechanisms for downlink multicasting of critical messages across cellular wireless systems. We study the robustness of such schemes following the failure of a macro base station (MBS) node. We determine whether the additional deployment of micro base station (mBS) nodes can enhance the system's performance. We assume MBS and mBS nodes to coordinate their multicast transmissions by using TDMA or FDMA (rather than an MBSFN-based) adaptive rate and power scheduling algorithms. Neighboring mBS and MBS nodes coordinate their operations to optimally configure their transmission schedules and spectral and/or temporal resources and transmit code rate and power levels. We show that, under low intersite distance (ISD) values, each identifying the distance between neighboring MBS nodes, the use of deployed mBS nodes does not enhance the system's attainable multicast spectral efficiency. Under intermediate ISD levels, the deployment of a backup mBS node that is located near the MBS node limits the post-failure degradation of throughput capacity rate to less than 10%. In turn, under longer ISD range levels, the combined use of a backup mBS and of neighboring mBS nodes, which adjust their code rate levels to reach mobiles located in the failed cell, leads to significant performance improvement.

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

[2]  Ramachandran Ramjee,et al.  Generalized Proportional Fair Scheduling in Third Generation Wireless Data Networks , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[3]  Reuven Cohen,et al.  Robust multicasting in micro base station aided wireless cellular networks , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[4]  S. Elayoubi,et al.  Performance evaluation of frequency planning schemes in OFDMA-based networks , 2008 .

[5]  Reuven Cohen,et al.  Optimal relay deployment for multihop multicast scheduling in cellular wireless networks , 2012, 2012 IEEE Globecom Workshops.

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

[7]  Mohamad Assaad.  Optimal Fractional Frequency Reuse (FFR) in Multicellular OFDMA System , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[8]  Gerhard Fettweis,et al.  Power consumption modeling of different base station types in heterogeneous cellular networks , 2010, 2010 Future Network & Mobile Summit.

[9]  Reuven Cohen,et al.  Multihop relay-aided multicast scheduling for cellular wireless networks , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[10]  C.-C. Jay Kuo,et al.  A Graph Approach to Dynamic Fractional Frequency Reuse (FFR) in Multi-Cell OFDMA Networks , 2009, 2009 IEEE International Conference on Communications.

[11]  Gerhard Fettweis,et al.  Energy Efficiency Aspects of Base Station Deployment Strategies for Cellular Networks , 2009, 2009 IEEE 70th Vehicular Technology Conference Fall.

[12]  Christos Bouras,et al.  Spectral efficiency performance of MBSFN-enabled LTE networks , 2010, 2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications.

[13]  Markus Rupp,et al.  Simulating the Long Term Evolution physical layer , 2009, 2009 17th European Signal Processing Conference.

[14]  Slawomir Stanczak,et al.  An algorithm for optimal resource allocation in cellular networks with elastic traffic , 2009, IEEE Transactions on Communications.

[15]  Jing Xu,et al.  Inter-cell interference coordination based on softer frequency reuse in OFDMA cellular systems , 2008, 2008 International Conference on Neural Networks and Signal Processing.

[16]  Christos Bouras,et al.  Efficient MCS selection for MBSFN transmissions over LTE networks , 2010, 2010 IFIP Wireless Days.

[17]  George Tsirtsis,et al.  LTE for public safety networks , 2013, IEEE Communications Magazine.

[18]  C.-C. Jay Kuo,et al.  Synchronization Techniques for Orthogonal Frequency Division Multiple Access (OFDMA): A Tutorial Review , 2007, Proceedings of the IEEE.

[19]  Izhak Rubin,et al.  Robust multicast scheduling based on relaying, power control, and rate adaptation in wireless networks , 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).

[20]  V. S. Abhayawardhana,et al.  Comparison of empirical propagation path loss models for fixed wireless access systems , 2005, 2005 IEEE 61st Vehicular Technology Conference.

[21]  Farooq Khan.  LTE for 4G Mobile Broadband: LTE for 4G Mobile Broadband , 2009 .