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

A Low Complexity Pilot Scheduling Algorithm for Massive MIMO

Chen, JC; Wen, CK; Jin, S; Wong, KK; (2017) A Low Complexity Pilot Scheduling Algorithm for Massive MIMO. IEEE Wireless Communications Letters , 6 (1) pp. 18-21. 10.1109/LWC.2016.2624292. Green open access

[img]
Preview
Text
WCL2016-0709R1.pdf - Accepted version

Download (460kB) | Preview

Abstract

Pilot contamination is a fundamental bottleneck in massive multiple-input multiple-output (MIMO) cellular networks. In this letter, we aim to design a pilot scheduling method to reduce the effect of pilot contamination in multi-user multi-cell massive MIMO systems. Mathematically, the pilot scheduling problem can be formulated as a permutation-based optimization problem. However, finding the optimal solution requires an exhaustive search and is computationally prohibitive. Therefore, we propose a low-complexity near-optimal algorithm developed from the cross-entropy optimization framework to solve this problem. Simulation results reveal that our algorithm not only significantly outperforms the existing pilot-scheduling schemes but also achieves excellent performance with low complexity.

Type: Article
Title: A Low Complexity Pilot Scheduling Algorithm for Massive MIMO
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/LWC.2016.2624292
Publisher version: https://doi.org/10.1109/LWC.2016.2624292
Language: English
Additional information: Copyright © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Keywords: pilot scheduling, Cross-entropy optimization, interference, massive MIMO, pilot contamination, Contamination, MIMO, Optimization, Interference, Complexity theory, Indexes, Partial transmit sequences
UCL classification: UCL > Provost and Vice Provost Offices
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/1544392
Downloads since deposit
190Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item