Two-way and multiple-access energy harvesting systems with energy cooperation

We study the capacity regions of two-way and multiple-access energy harvesting communication systems with one-way wireless energy transfer. In these systems, energy required for data transmission is harvested by the users from nature throughout the communication duration, and there is a separate unit that enables energy transfer from the first user to the second user with an efficiency of α. Energy harvests are known by the transmitters a priori. We first investigate the capacity region of the energy harvesting Gaussian two-way channel (TWC) with one-way energy transfer. We show that the boundary of the capacity region is achieved by a generalized two-dimensional directional water-filling algorithm. Then, we study the capacity region of the energy harvesting Gaussian multiple access channel (MAC) with one-way energy transfer. We show that if the priority of the first user is higher, then energy transfer is not needed. In addition, if the priority of the second user is sufficiently high, then the first user must transfer all of its energy to the second user.

[1]  Jing Yang,et al.  Broadcasting with an Energy Harvesting Rechargeable Transmitter , 2010, IEEE Transactions on Wireless Communications.

[2]  Mehmet Akif Antepli,et al.  Optimal Packet Scheduling on an Energy Harvesting Broadcast Link , 2011, IEEE Journal on Selected Areas in Communications.

[3]  Elza Erkip,et al.  User cooperation diversity. Part I. System description , 2003, IEEE Trans. Commun..

[4]  Aylin Yener,et al.  Communicating Using an Energy Harvesting Transmitter: Optimum Policies Under Energy Storage Losses , 2012, ArXiv.

[5]  Aylin Yener,et al.  Sum-rate optimal power policies for energy harvesting transmitters in an interference channel , 2011, Journal of Communications and Networks.

[6]  Jing Yang,et al.  Optimal Packet Scheduling in an Energy Harvesting Communication System , 2010, IEEE Transactions on Communications.

[7]  Thomas M. Cover,et al.  Elements of Information Theory (Wiley Series in Telecommunications and Signal Processing) , 2006 .

[8]  Aylin Yener,et al.  Optimum Transmission Policies for Battery Limited Energy Harvesting Nodes , 2010, IEEE Transactions on Wireless Communications.

[9]  Deniz Gündüz,et al.  Throughput maximization for an energy harvesting communication system with processing cost , 2012, 2012 IEEE Information Theory Workshop.

[10]  David Tse,et al.  Multiaccess Fading Channels-Part I: Polymatroid Structure, Optimal Resource Allocation and Throughput Capacities , 1998, IEEE Trans. Inf. Theory.

[11]  Shuguang Cui,et al.  Throughput Maximization for the Gaussian Relay Channel with Energy Harvesting Constraints , 2011, IEEE Journal on Selected Areas in Communications.

[12]  Te Sun Han,et al.  A general coding scheme for the two-way channel , 1984, IEEE Trans. Inf. Theory.

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

[14]  Thomas M. Cover,et al.  Elements of Information Theory , 2005 .

[15]  Jing Yang,et al.  Optimal packet scheduling in a multiple access channel with energy harvesting transmitters , 2012, Journal of Communications and Networks.

[16]  Jing Yang,et al.  Transmission with Energy Harvesting Nodes in Fading Wireless Channels: Optimal Policies , 2011, IEEE Journal on Selected Areas in Communications.

[17]  Deniz Gündüz,et al.  Two-hop communication with energy harvesting , 2011, 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

[18]  Jing Yang,et al.  Optimal Broadcast Scheduling for an Energy Harvesting Rechargeable Transmitter with a Finite Capacity Battery , 2012, IEEE Transactions on Wireless Communications.

[19]  Jing Yang,et al.  Energy cooperation in energy harvesting wireless communications , 2012, 2012 IEEE International Symposium on Information Theory Proceedings.