Joint energy and delay-aware scheme for 5G mobile cognitive radio networks

This paper proposes a delay-assisted cooperative scheme for optimal TV White Spaces (TVWS) exploitation and maximum energy conservation in a 5G mobile cognitive radio (CR) network architecture. This architecture utilizes a radio spectrum broker, which administrates the process of network resources management among several 5G base-stations to support Quality of Service (QoS) provision and minimum energy consumption. The proposed scheme is based on the comparison of the delays of both the secondary nodes and the Radio Access Points, when a delay sensitive transmission is requested. The validity of the proposed scheme is verified through several experimental tests, performed under controlled simulation conditions. The performance evaluation results include the energy consumption level and the lifetime span of each wireless node, the throughput response of the system during the delay-sensitive resource exchange process, as well as quantitative measurements of the energy efficiency levels of the proposed scheme.

[1]  Cicek Cavdar,et al.  5GrEEn: Towards Green 5G mobile networks , 2013, 2013 IEEE 9th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[2]  George Mastorakis,et al.  Energy efficient resource sharing using a trafficoriented routing scheme for cognitive radio networks , 2014, IET Networks.

[3]  George Mastorakis,et al.  Using Real-Time Backward Traffic Difference Estimation for Energy Conservation in Wireless Devices , 2012, AP2PS 2012.

[4]  Toni Janevski,et al.  Functional Architecture for 5G Mobile Networks , 2011 .

[5]  Luis Alonso,et al.  Fairness evaluation of a secondary network coexistence scheme , 2013, 2013 IEEE 18th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD).

[6]  George Mastorakis,et al.  Real-time performance evaluation of F-BTD scheme for optimized QoS energy conservation in wireless devices , 2013, 2013 IEEE Globecom Workshops (GC Wkshps).

[7]  Ramjee Prasad,et al.  5G Based on Cognitive Radio , 2011, Wirel. Pers. Commun..

[8]  Li-Chun Wang,et al.  A survey on green 5G cellular networks , 2012, 2012 International Conference on Signal Processing and Communications (SPCOM).

[9]  George Mastorakis,et al.  Radio resource management algorithms for efficient QoS provisioning over cognitive radio networks , 2013, 2013 IEEE International Conference on Communications (ICC).

[10]  George Mastorakis,et al.  QoS provisioning and policy management in a broker-based CR network architecture , 2012, 2012 IEEE Global Communications Conference (GLOBECOM).

[11]  George Mastorakis,et al.  On the performance response of delay-bounded energy-aware bandwidth allocation scheme in wireless networks , 2013, 2013 IEEE International Conference on Communications Workshops (ICC).

[12]  Hanna Bogucka,et al.  Multi-Layer Approach to Future Green Mobile Communications , 2013, IEEE Intelligent Transportation Systems Magazine.

[13]  Constandinos X. Mavromoustakis On the impact of caching and a model for storage-capacity measurements for energy conservation in asymmetrical wireless devices , 2008, 2008 16th International Conference on Software, Telecommunications and Computer Networks.

[14]  Malhar Chauhan,et al.  5G: Future Mobile Technology-Vision 2020 , 2012 .

[15]  Ian F. Akyildiz,et al.  A survey on spectrum management in cognitive radio networks , 2008, IEEE Communications Magazine.

[16]  Toni Janevski 5G Mobile Phone Concept , 2009, 2009 6th IEEE Consumer Communications and Networking Conference.

[17]  Luis Alonso,et al.  Energy efficiency analysis of secondary networks in cognitive radio systems , 2013, 2013 IEEE International Conference on Communications (ICC).

[18]  Constandinos X. Mavromoustakis,et al.  On the Real-Time Evaluation of Traffic Monofractality Properties with the User-Centered Temporal Capacity Awareness for EC in Wireless Devices , 2010, 2010 6th International Conference on Wireless and Mobile Communications.

[19]  George Mastorakis,et al.  A resource intensive traffic-aware scheme using energy-aware routing in cognitive radio networks , 2014, Future Gener. Comput. Syst..

[20]  George Mastorakis,et al.  A prototype cognitive radio architecture for TVWS exploitation under the real time secondary spectrum market policy , 2014, Phys. Commun..

[21]  Constandinos X. Mavromoustakis Mitigating file-sharing misbehavior with movement synchronization to increase end-to-end availability for delay sensitive streams in vehicular P2P devices , 2013, Int. J. Commun. Syst..

[22]  George Mastorakis,et al.  Efficient radio resource management algorithms in opportunistic cognitive radio networks , 2014, Trans. Emerg. Telecommun. Technol..