Power beacon-assisted energy harvesting in a half-duplex communication network under co-channel interference over a Rayleigh fading environment: Energy efficiency and outage probability analysis

In this time, energy efficiency (EE), measured in bits per Watt, has been considered as an important emerging metric in energy-constrained wireless communication networks because of their energy shortage. In this paper, we investigate power beacon assisted (PB) energy harvesting (EH) in half-duplex (HD) communication network under co-channel Interferer over Rayleigh fading environment. In this work, we investigate the model system with the time switching (TS) protocol. Firstly, the exact and asymptotic form expressions of the outage probability (OP) are analyzed and derived. Then the system EE is investigated and the influence of the primary system parameters on the system performance. Finally, we verify the correctness of the analytical expressions using Monte Carlo simulation. Finally, we can state that the simulation and analytical results are the same.Web of Science1213art. no. 257

Energy Management in a Cooperative Energy Harvesting Wireless Sensor Network

In this paper, we consider the problem of finding an optimal energy management policy for a network of sensor nodes capable of harvesting their own energy and sharing it with other nodes in the network. We formulate this problem in the discounted cost Markov decision process framework and obtain good energy-sharing policies using the Deep Deterministic Policy Gradient (DDPG) algorithm. Earlier works have attempted to obtain the optimal energy allocation policy for a single sensor and for multiple sensors arranged on a mote with a single centralized energy buffer. Our algorithms, on the other hand, provide optimal policies for a distributed network of sensors individually harvesting energy and capable of sharing energy amongst themselves. Through simulations, we illustrate that the policies obtained by our DDPG algorithm using this enhanced network model outperform algorithms that do not share energy or use a centralized energy buffer in the distributed multi-nodal case.Comment: 11 pages, 4 figure

Robust Secure Precoding and Antenna Selection: A Probabilistic Optimization Approach for Interference Exploitation

In this paper, to realize a power-efficient, user-centric and physical layer security-addressing system, we investigate total power minimization by jointly designing antenna selection and secure precoding for distributed antenna (DA) systems. Different from the conventional artificial noise (AN)-aided secure transmission, where AN is treated as an undesired element for the intended receiver (IR), we design AN such that it is constructive to the IR while keeping destructive to the eavesdroppers (Eves). Importantly, we investigate a practical scenario, where the IR and Eves’ channel state information (CSI) is imperfectly obtained. To handle the CSI uncertainties, we solve the problem in a probabilistic manner, which statistically satisfies the IR’ signal-to-interference-and-ratio (SINR) requirement by use of constructive AN and addresses security against the Eves. Simulation demonstrates our algorithm consumes much less power compared to the centralized antenna (CA) systems, as well as the DA systems with conventional AN processing. Last but not least, a user-centric and on-demand structure is presented by the algorithm, thanks to the adaptive DAs activation/deactivation mechanism