Citation

Mohamed, Khalid Sheikhidris and Alias, Mohamad Yusoff and Kanona, Mohammed E. A. and Hassan, Mohamed Khalafalla and Hussein, Mutaz Hamad (2023) Received Power Analysis In Non-interfering Intelligent Reflective Surface Environments. In: International Congress on Information and Communication Technology, 20-23 February 2023, London, United Kingdom.

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Abstract

The use of small cells, millimetre waves (mmWaves), and ultra-massive multiple-input-multiple-output (MIMO) systems have reshaped the future of wireless communication and showcased fifth generation (5G) to become the most promising communication system. Despite the significant quality of service (QoS) enhancements these technologies brought, the propagation channel challenge remains unsolvable. This is because equipments bear zero knowledge on both channel status and its effects on the propagating signals. It is therefore evident that these key technologies alone would not be sufficient to enable intelligent wireless platforms for the next generation communication, i.e. holographic communication, everything-to-everything (E2E). Intelligent reflective surfaces (IRSs) are thin and low-cost sheets yet very effective elements consisting of mini passive elements that can either manually be programmed or independently using artificial intelligence (AI) to alter the phase shifts of the impinging signals and proactively control the propagation channel. This paper investigates the impacts of using multiple IRS modules on the received power in an non-line-of-sight outdoor wireless environment considering. The experimental results show that received power can be enhanced by 9%.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	Intelligent reflective surface, 6G, Reconfigurable metallic surface Fading
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions:	Faculty of Engineering (FOE)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	07 Dec 2023 02:34
Last Modified:	07 Dec 2023 02:34
URII:	http://shdl.mmu.edu.my/id/eprint/11932

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