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Location-based channel estimation and pilot assignment for massive MIMO systems

Location-based channel estimation and pilot assignment for massive MIMO systems
Location-based channel estimation and pilot assignment for massive MIMO systems
In this paper, a location-based channel estimation algorithm is proposed for massive multi-input multi-output (MIMO) systems. By utilizing the property of the steering vector, a fast Fourier transform (FFT)-based post-processing is introduced after the conventional pilot-aided channel estimation. Under the condition that different users with the same pilot sequence have non-overlapping angle-of-arrivals (AOAs), the proposed channel estimation algorithm is capable of distinguishing these users effectively. To cooperate with the location-based channel estimation, a pilot assignment algorithm is also proposed to ensure that the users in different cells using the same pilot sequence have different
AOAs at base station. The simulation results demonstrate that the proposed scheme can reduce the inter-cell interference caused by the reuse of the pilot sequence and thus improves the overall system performance significantly.
1-5
Wang, Zhaocheng
a6bc4037-d26d-4ddd-9ce5-f018980115b6
Qian, Chen
2b85263f-c5ae-413e-a0d3-4c3abd84ff61
Dai, Linglong
a3b9a8e1-777f-4196-a388-969444c7239d
Chen, Jinhui
ba3e7e76-75cb-4ce3-8f75-de0e9b4b5e02
Sun, Chen
73141893-cc41-415d-ab99-4f9f9822c90b
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Wang, Zhaocheng
a6bc4037-d26d-4ddd-9ce5-f018980115b6
Qian, Chen
2b85263f-c5ae-413e-a0d3-4c3abd84ff61
Dai, Linglong
a3b9a8e1-777f-4196-a388-969444c7239d
Chen, Jinhui
ba3e7e76-75cb-4ce3-8f75-de0e9b4b5e02
Sun, Chen
73141893-cc41-415d-ab99-4f9f9822c90b
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80

Wang, Zhaocheng, Qian, Chen, Dai, Linglong, Chen, Jinhui, Sun, Chen and Chen, Sheng (2015) Location-based channel estimation and pilot assignment for massive MIMO systems. ICC2015, Workshop on 5G & Beyond - Enabling Technologies and Applications, United Kingdom. 08 - 12 Jun 2015. pp. 1-5 .

Record type: Conference or Workshop Item (Paper)

Abstract

In this paper, a location-based channel estimation algorithm is proposed for massive multi-input multi-output (MIMO) systems. By utilizing the property of the steering vector, a fast Fourier transform (FFT)-based post-processing is introduced after the conventional pilot-aided channel estimation. Under the condition that different users with the same pilot sequence have non-overlapping angle-of-arrivals (AOAs), the proposed channel estimation algorithm is capable of distinguishing these users effectively. To cooperate with the location-based channel estimation, a pilot assignment algorithm is also proposed to ensure that the users in different cells using the same pilot sequence have different
AOAs at base station. The simulation results demonstrate that the proposed scheme can reduce the inter-cell interference caused by the reuse of the pilot sequence and thus improves the overall system performance significantly.

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More information

Published date: June 2015
Venue - Dates: ICC2015, Workshop on 5G & Beyond - Enabling Technologies and Applications, United Kingdom, 2015-06-08 - 2015-06-12
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 377031
URI: https://eprints.soton.ac.uk/id/eprint/377031
PURE UUID: 4f67a90e-3785-41b1-8cc4-5c23a45e4506

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Date deposited: 14 May 2015 10:37
Last modified: 17 Jul 2017 21:04

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