A utility proportional fairness radio resource block allocation in cellular networks

This paper presents a radio resource block allocation optimization problem for cellular communications systems with users running delay-tolerant and real-time applications, generating elastic and inelastic traffic on the network and being modelled as logarithmic and sigmoidal utilities respectively. The optimization is cast under a utility proportional fairness framework aiming at maximizing the cellular systems utility whilst allocating users the resource blocks with an eye on application quality of service requirements and on the procedural temporal and computational efficiency. Ultimately, the sensitivity of the proposed modus operandi to the resource variations is investigated.

[1]  Hua Zhou,et al.  Reference Signals Power Allocation for Uplink MU-MIMO in LTE System , 2010, 2010 Fifth International Conference on Systems and Networks Communications.

[2]  Frank Kelly,et al.  Rate control for communication networks: shadow prices, proportional fairness and stability , 1998, J. Oper. Res. Soc..

[3]  Fan Zhang,et al.  Resource Allocation for Delay Differentiated Traffic in Multiuser OFDM Systems , 2006, IEEE Transactions on Wireless Communications.

[4]  Ahmed Abdel-Hadi,et al.  A robust optimal rate allocation algorithm and pricing policy for hybrid traffic in 4G-LTE , 2013, 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).

[5]  Ahmed Abdel-Hadi,et al.  A Utility Proportional Fairness Resource Allocation in Spectrally Radar-Coexistent Cellular Networks , 2014, 2014 IEEE Military Communications Conference.

[6]  Yang Chen,et al.  Fine-grained end-to-end network model via vector quantization and hidden Markov processes , 2013, 2013 IEEE International Conference on Communications (ICC).

[7]  Kin K. Leung,et al.  A new distributed optimization framework for hybrid ad-hoc networks , 2011, 2011 IEEE GLOBECOM Workshops (GC Wkshps).

[8]  Torbjörn Larsson,et al.  Lagrangian Relaxation via Ballstep Subgradient Methods , 2007, Math. Oper. Res..

[9]  Ahmed Abdel-Hadi,et al.  A utility proportional fairness approach for resource allocation in 4G-LTE , 2014, 2014 International Conference on Computing, Networking and Communications (ICNC).

[10]  Kin K. Leung,et al.  Towards a fair non-convex resource allocation in Wireless Networks , 2011, 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications.

[11]  Tobias Harks,et al.  Utility Proportional Fair Bandwidth Allocation: An Optimization Oriented Approach , 2005, QoS-IP.

[12]  Sriram Vishwanath,et al.  On the Impact of Mobility on Multicast Capacity of Wireless Networks , 2010, 2010 Proceedings IEEE INFOCOM.

[13]  H. Ekstrom QoS control in the 3GPP evolved packet system , 2009, IEEE Communications Magazine.

[14]  Kin K. Leung,et al.  Utility-proportional fairness in wireless networks , 2012, 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications - (PIMRC).

[15]  Stephen P. Boyd,et al.  Convex Optimization , 2004, Algorithms and Theory of Computation Handbook.

[16]  Hannes Ekström QoS control in the 3GPP evolved packet system , 2009, IEEE Commun. Mag..

[17]  Yang Chen,et al.  A neural network approach to category validation of Android applications , 2013, 2013 International Conference on Computing, Networking and Communications (ICNC).

[18]  Ness B. Shroff,et al.  Downlink power allocation for multi-class wireless systems , 2005, IEEE/ACM Transactions on Networking.