Zobrazeno 1 - 10
of 98
pro vyhledávání: '"Yadav, Animesh"'
Autor:
Tripathi, Shalini, Kundu, Chinmoy, Yadav, Animesh, Bansal, Ankur, Claussen, Holger, Ho, Lester
In this paper, we address the problem of joint allocation of transmit and jamming power at the source and destination, respectively, to enhance the long-term cumulative secrecy performance of an energy-harvesting wireless communication system until i
Externí odkaz:
http://arxiv.org/abs/2407.17435
The transition towards the sixth-generation (6G) wireless telecommunications networks introduces significant challenges for researchers and industry stakeholders. The 6G technology aims to enhance existing usage scenarios, particularly supporting inn
Externí odkaz:
http://arxiv.org/abs/2407.11051
Integrating non-terrestrial networks (NTNs), in particular high altitude platform stations (HAPS), with terrestrial networks, referred to as vHetNets, emerges as a promising future wireless network architecture for providing ubiquitous connectivity.
Externí odkaz:
http://arxiv.org/abs/2403.09817
The deployment of federated learning (FL) within vertical heterogeneous networks, such as those enabled by high-altitude platform station (HAPS), offers the opportunity to engage a wide array of clients, each endowed with distinct communication and c
Externí odkaz:
http://arxiv.org/abs/2401.05308
Enhancing Next-Generation Urban Connectivity: Is the Integrated HAPS-Terrestrial Network a Solution?
Located in the stratospheric layer of Earth's atmosphere, high altitude platform station (HAPS) is a promising network infrastructure, which can bring significant advantages to sixth-generation (6G) and beyond wireless communications systems by formi
Externí odkaz:
http://arxiv.org/abs/2307.08202
In the ever-expanding landscape of the IoT, managing the intricate network of interconnected devices presents a fundamental challenge. This leads us to ask: "What if we invite the IoT devices to collaboratively participate in real-time network manage
Externí odkaz:
http://arxiv.org/abs/2305.05463
We propose a federated learning (FL) in stratosphere (FLSTRA) system, where a high altitude platform station (HAPS) facilitates a large number of terrestrial clients to collaboratively learn a global model without sharing the training data. FLSTRA ov
Externí odkaz:
http://arxiv.org/abs/2302.00163
Autor:
Abbasi, Omid, Yadav, Animesh, Yanikomeroglu, Halim, Dao, Ngoc Dung, Senarath, Gamini, Zhu, Peiying
High altitude platform station (HAPS), which is deployed in the stratosphere at an altitude of 20-50 kilometres, has attracted much attention in recent years due to their large footprint, line-of-sight links, and fixed position relative to the Earth.
Externí odkaz:
http://arxiv.org/abs/2301.08863
Vertical heterogeneous networks (vHetNets) are promising architectures to bring significant advantages for 6G and beyond mobile communications. High altitude platform station (HAPS), one of the nodes in the vHetNets, can be considered as a complement
Externí odkaz:
http://arxiv.org/abs/2208.06971
In the future, urban regions will encounter a massive number of capacity-hungry devices. Relying solely on terrestrial networks for serving all UEs will be a cost-ineffective approach. Consequently, with the anticipated supply and demand mismatch, se
Externí odkaz:
http://arxiv.org/abs/2207.11576