Energy efficient resource allocation in timesharing multiuser systems with hybrid energy harvesting transmitter

An energy efficient resource allocation scheme in timesharing multiuser system with a hybrid energy harvesting transmitter is studied in this paper. Specially, the operation energy of system is supplied by constant energy and energy harvesting, which harvests energy from external environment. Our goal is to maximize the energy efficiency of timesharing multiuser systems by considering jointly allocation of transmission time and power control in an off-line manner. The original nonconvex objective function is transformed into convex optimization problem via the fractional programming approach. Then, we solve the convex problem by Lagrange dual decomposition method. Simulation results show that the proposed energy efficient resource allocation scheme has a better performance than the scheme which decomposes optimization problem into two parts (power allocation, time allocation) to solve iteratively.

[1]  Wei Chen,et al.  On Throughput Maximization of Time Division Multiple Access With Energy Harvesting Users , 2016, IEEE Transactions on Vehicular Technology.

[2]  T. Galchev Energy Scavenging From Low Frequency Vibrations. , 2010 .

[3]  Derrick Wing Kwan Ng,et al.  Power Allocation for an Energy Harvesting Transmitter with Hybrid Energy Sources , 2013, IEEE Transactions on Wireless Communications.

[4]  Jing Yang,et al.  Broadcasting with a battery limited energy harvesting rechargeable transmitter , 2011, 2011 International Symposium of Modeling and Optimization of Mobile, Ad Hoc, and Wireless Networks.

[5]  Geoffrey Ye Li,et al.  Fundamental Green Tradeoffs: Progresses, Challenges, and Impacts on 5G Networks , 2016, IEEE Communications Surveys & Tutorials.

[6]  Mohamed-Slim Alouini,et al.  A Hybrid Energy Sharing Framework for Green Cellular Networks , 2016, IEEE Transactions on Communications.

[7]  Jie Xu,et al.  Throughput Optimal Policies for Energy Harvesting Wireless Transmitters with Non-Ideal Circuit Power , 2012, IEEE Journal on Selected Areas in Communications.

[8]  Khaled Ben Letaief,et al.  Maximizing energy efficiency in wireless networks with a minimum average throughput requirement , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[9]  Geoffrey Ye Li,et al.  An Overview of Sustainable Green 5G Networks , 2016, IEEE Wireless Communications.

[10]  Dimitri P. Bertsekas,et al.  Convex Optimization Theory , 2009 .

[11]  Cheng-Xiang Wang,et al.  Spectral and Energy Efficiency Analysis for Cognitive Radio Networks , 2015, IEEE Transactions on Wireless Communications.

[12]  Kemal Leblebicioglu,et al.  Proportional Fair Resource Allocation on an Energy Harvesting Downlink , 2012, IEEE Transactions on Wireless Communications.

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

[14]  Derrick Wing Kwan Ng,et al.  Energy-Efficient Resource Allocation in OFDMA Systems with Hybrid Energy Harvesting Base Station , 2013, IEEE Transactions on Wireless Communications.

[15]  Zhu Han,et al.  Wireless Networks With RF Energy Harvesting: A Contemporary Survey , 2014, IEEE Communications Surveys & Tutorials.

[16]  Vladimir Leonov,et al.  Thermoelectric Energy Harvesting of Human Body Heat for Wearable Sensors , 2013, IEEE Sensors Journal.

[17]  Julien Penders,et al.  Energy Harvesting for Autonomous Wireless Sensor Networks , 2010, IEEE Solid-State Circuits Magazine.

[18]  Werner Dinkelbach On Nonlinear Fractional Programming , 1967 .