Optimal Energy Sharing for Cooperative Relaying in a Random Access Network with Energy Harvesting Nodes

In this paper, we investigate the full-duplex (FD) decode-and-forward (DF) cooperative relaying system, whereas the relay node can harvest energy from radiofrequency (RF) signals of the source and then utilize the harvested energy to transfer the information to the destination. Specifically, a hybrid time-power switching-based relaying method is adopted, which leverages the benefits of time-switching relaying (TSR) and power-splitting relaying (PSR) protocols. While energy harvesting (EH) helps to reduce the limited energy at the relay, full-duplex is one of the most important techniques to enhance the spectrum efficiency by its capacity of transmitting and receiving signals simultaneously. Based on the proposed system model, the performance of the proposed relaying system in terms of the ergodic capacity (EC) is analyzed. Specifically, we derive the exact closed form for upper bound EC by applying some special function mathematics. Then, the Monte Carlo simulations are performed to validate the mathematical analysis and numerical results.

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Random access procedures and radio access network (RAN) overload control in standard and advanced long-term evolution (LTE and LTE-A) networks

Machine-to-machine (M2M) Communications ◽

10.1016/b978-1-78242-102-3.00009-5 ◽

2015 ◽

pp. 155-172

Author(s):

N.K. Pratas ◽

H. Thomsen ◽

P. Popovski

Keyword(s):

Access Network ◽

Random Access ◽

Long Term Evolution ◽

Overload Control ◽

Radio Access Network ◽

Term Evolution ◽

Radio Access

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Optimal Energy-Delay Scheduling using Improved Beetle Antennae Search (BAS) for Energy-Harvesting WSNs

10.21203/rs.3.rs-417195/v1 ◽

2021 ◽

Author(s):

Battina Srinuvasu Ku ◽

S.G. Santhi ◽

S. Narayana

Keyword(s):

Energy Harvesting ◽

Network Design ◽

Wireless Network ◽

Optimal Solution ◽

Capacity Allocation ◽

Approximation Technique ◽

Time Interval ◽

Optimal Energy ◽

Wireless Network Design ◽

Complex Optimization

Abstract Optimal energy delay scheduling for capacity allocation issues on interference chan- nel energy harvesting wireless sensor networks (EH-WSN) addresses for static data streams and energy topography. To create the optimizations issue of unique and multi-time interval corre- spondingly. The goal is for reducing overall regression of the network. Though, the optimization issue is not convex, creating it hard to get an optimal solution. The main objective of this manuscript is directly addressing the original non-convex formulation using the enhanced Beetle Antennae Search (BAS) algorithm that efficiently finds the optimal solution. This algorithm is also better for another complex optimization issues on wireless network design. The simulations under delay, delratio, drop, energy, network lifetime, overhead and throughput are carried; the expected outcome displays that improved BAS algorithm executes considerably better than the convex approximation technique. This idea is useful for other complex optimization issues on wireless network design.

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