Power consumption analysis for user cooperation aided traffic forwarding over frequency selective fading channels

Recently, user cooperation aided traffic forwarding is widely considered as one of promising techniques to improve energy efficiency in battery-operated mobile terminal (MT). This study tries to theoretically analyze the power consumption of such kind of technique in cellular networks over frequency selective fading channels. We initially derive some expressions to calculate transmission power for non- and cooperative scenarios by a generalized model, in which spatially correlated shadowing, an easily overlooked issue, is considered. Then we mathematically analyze consumed power in aforementioned scenarios with the help of a recent and experiment based Long Term Evolution smartphone power model. Numerical results indicate that the benefits of cooperative forwarding over frequency selective fading channel are substantial, however, due to several physical constraints on MT, such as maximal transmission power, the benefits cannot be fully achieved in realistic environment. Several interesting insights about cooperative forwarding are also obtained in our study.

[1]  Robert W. Heath,et al.  Five disruptive technology directions for 5G , 2013, IEEE Communications Magazine.

[2]  Wendi Heinzelman,et al.  Energy-efficient communication protocol for wireless microsensor networks , 2000, Proceedings of the 33rd Annual Hawaii International Conference on System Sciences.

[3]  Jianwei Huang,et al.  Energy-Aware Cooperative Traffic Offloading via Device-to-Device Cooperations: An Analytical Approach , 2017, IEEE Transactions on Mobile Computing.

[4]  Robert M. Gray,et al.  On the asymptotic eigenvalue distribution of Toeplitz matrices , 1972, IEEE Trans. Inf. Theory.

[5]  Hidekazu Murata,et al.  User Collaboration for Interference Cancellation on Multi-User MIMO Communication Systems , 2015, 2015 IEEE 82nd Vehicular Technology Conference (VTC2015-Fall).

[6]  Troels B. Sorensen,et al.  An Empirical LTE Smartphone Power Model with a View to Energy Efficiency Evolution , 2014 .

[7]  Feng Liu,et al.  The improvement of LEACH protocol in WSN , 2011, Proceedings of 2011 International Conference on Computer Science and Network Technology.

[8]  Anthony Ephremides,et al.  Energy Efficiency Versus Performance in Cognitive Wireless Networks , 2016, IEEE Journal on Selected Areas in Communications.

[9]  Behrouz Maham,et al.  On Uplink Virtual MIMO with Device Relaying Cooperation Enforcement in 5G Networks , 2018, IEEE Transactions on Mobile Computing.

[10]  Richard Demo Souza,et al.  Energy Efficient Power Allocation Schemes for a Two-User Network-Coded Cooperative Cognitive Radio Network , 2016, IEEE Transactions on Signal Processing.

[11]  Jayadi Riyanto,et al.  User cooperation in a multi-hop network with multi-interface devices for energy efficiency , 2016 .

[12]  Hidekazu Murata,et al.  Sum-Rate Analysis for Centralized and Distributed Antenna Systems with Spatial Correlation and Inter-Cell Interference , 2015, IEICE Trans. Commun..

[13]  Qing Wang,et al.  A Survey on Device-to-Device Communication in Cellular Networks , 2013, IEEE Communications Surveys & Tutorials.

[14]  M. Abramowitz,et al.  Handbook of Mathematical Functions With Formulas, Graphs and Mathematical Tables (National Bureau of Standards Applied Mathematics Series No. 55) , 1965 .

[15]  Jesus Alonso-Zarate,et al.  LTE-direct vs. WiFi-direct for machine-type communications over LTE-A systems , 2015, 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC).