UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Energy Efficient Resource Allocation for UCA-Based OAM-MIMO System

Tang, J; Lin, C; Song, Y; Yu, Y; Chen, Z; Zhang, X; So, DKC; (2021) Energy Efficient Resource Allocation for UCA-Based OAM-MIMO System. In: Artificial Intelligence for Communications and Networks. AICON 2021. (pp. pp. 189-200). Springer: Cham, Switzerland. Green open access

[thumbnail of Wong_Energy Efficient Resource Allocation for UCA-based OAM-MIMO System(1).pdf]
Preview
Text
Wong_Energy Efficient Resource Allocation for UCA-based OAM-MIMO System(1).pdf - Accepted Version

Download (609kB) | Preview

Abstract

The combination of orbital angular momentum (OAM) and multi-input multi-output (MIMO) is identified as an effective solution to improve energy efficiency (EE) in the next-generation wireless communication. According to the orthogonality of OAM, we adopt uniform circular array (UCA) to establish the transmitter and receiver of the OAM-MIMO system in this paper. Our goal is to maximize the EE of the system whilst satisfying the maximum total transmit power and the minimum capacity requirement of each mode. Due to the inter-interference of different UCA at the same mode, the optimization problem involving the power allocation of modes is non-convex, thus is difficult to solve directly. To tackle this problem, the optimization problem is transformed into two sub-problems by using the fractional programming. Then we develop a dual-layer iteration algorithm where the nonconvex power allocation problem is transformed into a convex problem by exploiting the the first-order Taylor approximation in the inner layer, and the dichotomy is used to update EE in the outer layer. Simulation results confirm the effectiveness of the proposed solution, and demonstrate the superiority of the OAM-MIMO system over the conventional MIMO system from the perspective of EE.

Type: Proceedings paper
Title: Energy Efficient Resource Allocation for UCA-Based OAM-MIMO System
Event: AICON 2021: Artificial Intelligence for Communications and Networks
ISBN-13: 9783030901950
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-030-90196-7_17
Publisher version: https://doi.org/10.1007/978-3-030-90196-7_17
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Energy efficiency (EE), Orbital angular momentum (OAM), Multi-input multi-output (MIMO), Power allocation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10140343
Downloads since deposit
50Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item