Optimization of Energy Harvesting MISO Communication Channels

Optimization of a point-to-point (p2p) multiple-input single-output (MISO) communication system is considered when both the transmitter (TX) and the receiver (RX) have energy harvesting (EH) capabilities. The RX is interested in feeding back the channel state information (CSI) to the TX to help improve the transmission rate. The objective is to maximize the throughput by a deadline, subject to the EH constraints at the TX and the RX. The throughput metric considered is an upper bound on the ergodic rate of MISO channel with beamforming and limited feedback. Feedback bit allocation and transmission policies that maximize the upper bound on the ergodic rate are obtained. Tools from majorization theory are used to simplify the formulated optimization problems. Optimal policies obtained for the modified problem outperform the naive scheme in which no intelligent management of energy is performed.

[1]  Miquel Payaró,et al.  Throughput Maximization for a Wireless Energy Harvesting Node Considering the Circuitry Power Consumption , 2012, 2012 IEEE Vehicular Technology Conference (VTC Fall).

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

[3]  Deniz Gündüz,et al.  Optimal packet scheduling for an energy harvesting transmitter with processing cost , 2013, 2013 IEEE International Conference on Communications (ICC).

[4]  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).

[5]  C. HuangC.,et al.  Bounds on the Expectation of a Convex Function of a Random Variable , 1977 .

[6]  A. Ben-Tal,et al.  More bounds on the expectation of a convex function of a random variable , 1972, Journal of Applied Probability.

[7]  David James Love,et al.  On the performance of random vector quantization limited feedback beamforming in a MISO system , 2007, IEEE Transactions on Wireless Communications.

[8]  I. Olkin,et al.  Inequalities: Theory of Majorization and Its Applications , 1980 .

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

[10]  ModianoEytan,et al.  A calculus approach to energy-efficient data transmission with quality-of-service constraints , 2009 .

[11]  Deniz Gündüz,et al.  A general framework for the optimization of energy harvesting communication systems with battery imperfections , 2011, Journal of Communications and Networks.

[12]  Purushottam Kulkarni,et al.  Energy Harvesting Sensor Nodes: Survey and Implications , 2011, IEEE Communications Surveys & Tutorials.

[13]  Elza Erkip,et al.  Optimal transmission policies for energy harvesting two-hop networks , 2012, 2012 46th Annual Conference on Information Sciences and Systems (CISS).

[14]  Deniz Gündüz,et al.  Designing intelligent energy harvesting communication systems , 2014, IEEE Communications Magazine.

[15]  Rui Zhang,et al.  Optimal Energy Allocation for Wireless Communications With Energy Harvesting Constraints , 2011, IEEE Transactions on Signal Processing.

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

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

[18]  Nihar Jindal,et al.  MIMO broadcast channels with finite rate feedback , 2006, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[19]  Robert W. Heath,et al.  An overview of limited feedback in wireless communication systems , 2008, IEEE Journal on Selected Areas in Communications.

[20]  Mani B. Srivastava,et al.  Power management in energy harvesting sensor networks , 2007, TECS.

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

[22]  Giuseppe Caire,et al.  Training and Feedback Optimization for Multiuser MIMO Downlink , 2009, IEEE Transactions on Communications.

[23]  Sennur Ulukus,et al.  Achieving AWGN Capacity Under Stochastic Energy Harvesting , 2012, IEEE Transactions on Information Theory.

[24]  Deniz Gündüz,et al.  Optimizing feedback in energy harvesting MISO communication channels , 2013, 2013 IEEE Global Conference on Signal and Information Processing.

[25]  Eytan Modiano,et al.  A Calculus Approach to Energy-Efficient Data Transmission With Quality-of-Service Constraints , 2009, IEEE/ACM Transactions on Networking.

[26]  Chandra R. Murthy,et al.  Dual-Stage Power Management Algorithms for Energy Harvesting Sensors , 2012, IEEE Transactions on Wireless Communications.

[27]  Deniz Gündüz,et al.  Energy Harvesting Broadband Communication Systems With Processing Energy Cost , 2014, IEEE Transactions on Wireless Communications.

[28]  S. Wilcox.  Solar Resource and Meteorological Assessment Project (SOLRMAP) , 2008 .

[29]  Michael L. Honig,et al.  Optimization of Training and Feedback Overhead for Beamforming Over Block Fading Channels , 2010, IEEE Transactions on Information Theory.

[30]  Alexandre Bodin,et al.  Energy Harvesting Communication System with a Finite Set of Transmission Rates , 2014 .

[31]  K. Schittkowski,et al.  NONLINEAR PROGRAMMING , 2022 .