Priority-Based Resource Allocation and Energy Harvesting for WBAN Smart Health

Abstract

With the emergence of new viral infections and the rapid spread of chronic diseases in recent years, the demand for integrated short-range wireless technologies is becoming a major bottleneck. Implementation of advanced medical telemonitoring and telecare systems for on-body sensors needs frequent recharging or battery replacement. This paper discusses a priority-based resource allocation scheme and smart channel assignment in a wireless body area network capable of energy harvesting. We investigate our transmission scheme in regular communication, where the access point transmits energy and command while the sensor simultaneously sends the information to the access point. A priority scheduling nonpreemptive algorithm to keep the process running for all the users to achieve the maximum reliability of access by the decision-maker or hub during critical situations of users has been proposed. During an emergency or critical situation, the process does not stop until the decision-maker or the hub takes a final decision. The objective of the proposed scheme is to get all the user processes executed with minimum average waiting time and no starvation. By allocating a higher priority to emergency and on data traffic signals such as critical and high-level signals, the proposed transmission scheme avoids inconsistent collisions. The results demonstrate that the proposed scheme significantly improves the quality of the network service in terms of data transmission for higher priority users.

Selective interference alignment and neutralization in coordinated multipoint using multiuser MIMO

“…Equations ( 18)-( 20) are derived by the following amplitude and recommended direction of filter matrices in Equations ( 15)- (17). These expressions are the obtained rechanneling filtered signals on the receiver side of the SIAN CoMP MU-MIMO system.…”

“…Intercell and intracell interference that are managed by the transmitting signals from two adjacent base stations with the same frequency strength with multiple users are briefly discussed in previous research. 16,17 The performance and improvement of numerous filters design are implemented in Zhao et al 18 Moreover, power allocation and feasible conditions used in filter design are demonstrated to align and eliminate the intercell interference (ICI) and improve the overall system. 19,20 The achievable performance of the cellular network with the minimum number of antennas in the base station is implemented in earlier research.…”

A Novel Tri-Staged RIA Scheme for Cooperative Cell Edge Users in a Multi-Cellular MIMO IMAC

“…plethora of research works illustrate the application of RIA in cellular networks. Later, in a two-cell Z interference MIMO channel, the authors in [34], classified the mobile users into two groups based on their position from the BS. They are the cell center (CC) users that lie in the proximity of the BS and the cell edge (CE) users located further away from the BS [35].…”