Multi-User Position Based on Trajectories-Aware Handover Strategy for Base Station Selection with Multi-Agent Learning

Abstract

Purpose The not-for-profit (NFP) context displays unique characteristics that include stakeholder diversity, multiple stakeholder agendas, and the pervasiveness of philanthropic values and related organisational mission. This study investigated accountants' perceptions of NFP's characteristics that enable and inhibit their communication along with the strategies they adopt to overcome their communication challenges. Design/methodology/approach This qualitative interview-based study is informed by Giddens' structuration theory. Thirty NFP accountants, from three Australian states, were interviewed. Thematic analysis was used to identify the relationships between NFP organisational characteristics and accountants' communication strategies, and their interactions with organisational structures. Findings The study reveals important relationships between many stakeholders with limited financial acumen, organisational resource constraints, the currency of NFP information technologies, the dominance of operational mission over financial imperatives, and the supply of organisational accountants. Accountants' structural adaptations emerge in their adopting multiple forms of communications reframing. Research limitations/implications The NFP environment exhibits a mix of characteristics, some of which pose challenges for accountants' communication while others facilitate their communication. Social implications Increasingly governments are relying on NFPs for the provision of services once provided by the state. Enhancing NFP accountants' communication has the potential to improve outcomes for NFPs. Originality/value The study broadens prior research on accountants' communication beyond formal written reporting to recognise and articulate their informal communication strategies.

A Literature Survey on AI-Aided Beamforming and Beam Management for 5G and 6G Systems

“…To maximize the throughput and minimize unnecessary handovers in mmWave communication systems, the authors of [141] propose a proactive handover solution based on a DRL model. The proposed solution employs decentralized multi-agents to make a proactive handover decision.…”

A Literature Survey on AI-Aided Beamforming and Beam Management for 5G and 6G Systems

“…To maximize the throughput and minimize unnecessary handovers in mmWave communication systems, the authors of [137] propose a proactive handover solution based on a DRL model. The proposed solution employs decentralized multi-agents to make a proactive handover decision.…”

Q-learning based Handover Algorithm for High-Speed Rail Wireless Communications

“…They model the HO problem as a contextual multi-armed bandit problem and then solve it by using Q-learning algorithm, in order to improve the performance of the link beam. In [8], the authors present a solution based on RL to select the optimal base station (BS) for proactive decision HO in Millimeter-wave (mmWave) wireless communication. Their results illustrate that intelligent self-learning agent can decrease the number of HOs.…”