MCMC Sampling Based Signal Detection in Multiuser Load Modulated Arrays

Bhat, S and Chockalingam, A (2018) MCMC Sampling Based Signal Detection in Multiuser Load Modulated Arrays. In: 87th IEEE Vehicular Technology Conference, VTC Spring 2018, 3 - 6 June 2018, Porto, pp. 1-5.

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Abstract

Load modulated arrays (LMAs) is getting recent research attention as an attractive multiantenna transmission architecture in wireless communications. LMAs use a single power amplifier to drive the entire transmit antenna array and implement the multidimensional signaling constellation in the analog domain. In this paper, we consider LMAs in a multiuser setting on the uplink. In this setting, multiple user terminals, each using an LMA (e.g., with 2 or 4 antenna elements), communicate with a base station (BS) with multiple (tens to hundreds) receive antennas. For this system, we consider the problem of low-complexity signal detection at the BS receiver. Specifically, we propose a Markov Chain Monte Carlo (MCMC) sampling based detection algorithm. We evaluate the bit error rate performance of the algorithm via numerical simulations. Simulation results show that the proposed detection achieves very good performance, while also scaling well in complexity.

Item Type:	Conference Paper
Publication:	IEEE Vehicular Technology Conference
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	The copyright for this article belongs to the Institute of Electrical and Electronics Engineers Inc.
Keywords:	Antenna arrays; Bit error rate; Chains; Markov processes; Monte Carlo methods; Multiuser detection; Power amplifiers; Receiving antennas; Scale (deposits); Signal receivers; Wireless telecommunication systems, Hypersphere; LM array; Load modulation; Markov chain monte carlo samplings; Multi-antenna systems, Signal detection
Department/Centre:	Division of Electrical Sciences > Electrical Communication Engineering
Date Deposited:	07 Aug 2022 08:59
Last Modified:	07 Aug 2022 08:59
URI:	https://eprints.iisc.ac.in/id/eprint/75444

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