Wireless energy harvesting and information transfer in cognitive two-way relay networks

Energy harvesting is an efficient method for extending the lifetime of energy-constrained networks. In this paper, we develop a wireless energy harvesting and information transfer protocol in cognitive two-way relay networks, in which a secondary network scavenges energy from ambient signals of primary network while shares the spectrum by assisting the primary transmission. In particular, two primary users exchange information through an energy harvesting secondary user which firstly harvests energy from the received primary signals and then uses the harvested energy to forward the remaining primary signals along with the secondary signals. The exact expressions of the outage probabilities for the primary network are analytically formulated. Besides, we derive the lower and upper bounds of the outage probability for the secondary network. Following aforementioned deduction, we analyze the energy efficiency of the whole system. Simulation results show that we can achieve maximum energy efficiency if we set up proper parameters. Finally, numerical results verify our theoretical derivation and demonstrate that the proposed protocol enables the high-quality transmission for both the primary and secondary network without extra relay energy consumed.

[1]  Jiangzhou Wang,et al.  Chunk-based resource allocation in OFDMA systems - part I: chunk allocation , 2009, IEEE Transactions on Communications.

[2]  Ahmed El Shafie,et al.  Optimal Random Access for a Cognitive Radio Terminal with Energy Harvesting Capability , 2013, IEEE Communications Letters.

[3]  Sungsoo Park,et al.  Optimal Spectrum Access for Energy Harvesting Cognitive Radio Networks , 2013, IEEE Transactions on Wireless Communications.

[4]  Bin Xia,et al.  Wireless information and power transfer in two-way amplify-and-forward relaying channels , 2013, 2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP).

[5]  Mengyao Ge,et al.  Energy-Efficient Resource Allocation for OFDM-Based Cognitive Radio Networks , 2013, IEEE Transactions on Communications.

[6]  Ali A. Nasir,et al.  Relaying Protocols for Wireless Energy Harvesting and Information Processing , 2012, IEEE Transactions on Wireless Communications.

[7]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[8]  Kee Chaing Chua,et al.  Wireless Information and Power Transfer: A Dynamic Power Splitting Approach , 2013, IEEE Transactions on Communications.

[9]  Jiangzhou Wang,et al.  Chunk-Based Resource Allocation in OFDMA Systems—Part II: Joint Chunk, Power and Bit Allocation , 2012, IEEE Transactions on Communications.

[10]  Wenbo Wang,et al.  A Novel Decoding-and-Forward Scheme with Joint Modulation for Two-Way Relay Channel , 2010, IEEE Communications Letters.

[11]  Lav R. Varshney,et al.  Transporting information and energy simultaneously , 2008, 2008 IEEE International Symposium on Information Theory.

[12]  Rui Zhang,et al.  MIMO Broadcasting for Simultaneous Wireless Information and Power Transfer , 2013 .

[13]  Joseph Lipka,et al.  A Table of Integrals , 2010 .

[14]  Sungsoo Park,et al.  Achievable Throughput of Energy Harvesting Cognitive Radio Networks , 2014, IEEE Transactions on Wireless Communications.

[15]  Anant Sahai,et al.  Shannon meets Tesla: Wireless information and power transfer , 2010, 2010 IEEE International Symposium on Information Theory.

[16]  I. S. Gradshteyn,et al.  Table of Integrals, Series, and Products , 1976 .