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Resource allocation and performance analysis for wireless communication systems with radio frequency energy harvesting

University of British Columbia

Radio frequency energy harvesting (RF-EH) is a promising technology to increase the lifetime of the wireless nodes, and there are many use cases for this emerging technology. Despite a number of advantages of the RF-EH technology, several challenges remain to be solved in order to fully exploit its potential. For example, the impact of integrating the RF-EH technology into transmitters of the wireless communication systems remains unknown. Besides, heterogeneous quality-of-service (QoS) and the nonlinearity of the energy harvester require fundamental investigation from both resource allocation and performance analysis perspective. Failing to address these issues can wipe out the advantages that the RF-EH technology brings. In this thesis, we consider some of these challenges and develop solutions as described below. First, an energy efficiency (EE) maximization problem is studied in a distributed antenna system with \mbox{RF-EH} capability. The energy harvester on each radio remote head can scavenge energy over all frequency band for practical amount of energy. A low-complexity semi-distributed algorithm is proposed to maximize the system EE via subchannel allocation and power control. Next, an innovative optimization framework is proposed to formulate the long-term power minimization problem in a simultaneous wireless information and power transferring system. The formulated problem contains both long-term and short-term QoS constraints, which is difficult to solve via standard optimization methods. Thus, the stochastic optimization theory is used to propose a dynamic power control and time switching algorithm for suboptimal solution. By tuning a control parameter, the power consumption can approach its optimal value at the expense of the delay of the wireless nodes with best effort traffic. Finally, the performance of the wireless powered relaying systems with nonlinear energy harvester is investigated. We derive an analytical expression of the complementary cumulative distribution function (CCDF) for the end-to-end signal-to-noise ratio. Compared with our analytical results, the linear energy harvester overestimates the CCDF of the end-to-end signal-to-noise ratio when the relay is placed closer to the source node.

Text

2016-07-06

Attribution-NonCommercial-NoDerivatives 4.0 International

http://hdl.handle.net/2429/58396

Electrical Engineering

University of British Columbia

UBCO

http://creativecommons.org/licenses/by-nc-nd/4.0/