IEICE TRANSACTIONS on Fundamentals
Performance Analysis on Uplink Pilot Allocation in TDD Massive MIMO Heterogeneous Networks
Summary :
Massive MIMO (mMIMO) is a promising technology for smart multimedia and wireless communication fields. In this paper, we investigate pilot allocation problem in two-tier time division duplex (TDD) heterogeneous network (HetNet) with mMIMO. First, we propose a new pilot allocation scheme for maximizing ergodic downlink sum rate of macro users (MUs) and small cell users (SUs), where the uplink pilot overhead and cross-tier interference are jointly considered. Then, we theoretically analyze the formulated problem and propose a low complexity one-dimensional search algorithm to obtain the optimum pilot allocation. In addition, we propose two suboptimal pilot allocation algorithms to simplify the computational process and improve SUs' fairness, respectively. Finally, simulation results show that the performance of the proposed scheme outperforms that of the traditional schemes.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.11 pp.2314-2322
- Publication Date
- 2017/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E100.A.2314
- Type of Manuscript
- Special Section PAPER (Special Section on Smart Multimedia & Communication Systems)
- Category
- Communication Systems
Authors
Wanming HAO
the Kyushu University
Osamu MUTA
the Kyushu University
Haris GACANIN
the Nokia Bell Labs
Hiroshi FURUKAWA
the Kyushu University
Keyword
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Wanming HAO, Osamu MUTA, Haris GACANIN, Hiroshi FURUKAWA, "Performance Analysis on Uplink Pilot Allocation in TDD Massive MIMO Heterogeneous Networks" in IEICE TRANSACTIONS on Fundamentals,
vol. E100-A, no. 11, pp. 2314-2322, November 2017, doi: 10.1587/transfun.E100.A.2314.
Abstract: Massive MIMO (mMIMO) is a promising technology for smart multimedia and wireless communication fields. In this paper, we investigate pilot allocation problem in two-tier time division duplex (TDD) heterogeneous network (HetNet) with mMIMO. First, we propose a new pilot allocation scheme for maximizing ergodic downlink sum rate of macro users (MUs) and small cell users (SUs), where the uplink pilot overhead and cross-tier interference are jointly considered. Then, we theoretically analyze the formulated problem and propose a low complexity one-dimensional search algorithm to obtain the optimum pilot allocation. In addition, we propose two suboptimal pilot allocation algorithms to simplify the computational process and improve SUs' fairness, respectively. Finally, simulation results show that the performance of the proposed scheme outperforms that of the traditional schemes.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.2314/_p
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@ARTICLE{e100-a_11_2314,
author={Wanming HAO, Osamu MUTA, Haris GACANIN, Hiroshi FURUKAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Performance Analysis on Uplink Pilot Allocation in TDD Massive MIMO Heterogeneous Networks},
year={2017},
volume={E100-A},
number={11},
pages={2314-2322},
abstract={Massive MIMO (mMIMO) is a promising technology for smart multimedia and wireless communication fields. In this paper, we investigate pilot allocation problem in two-tier time division duplex (TDD) heterogeneous network (HetNet) with mMIMO. First, we propose a new pilot allocation scheme for maximizing ergodic downlink sum rate of macro users (MUs) and small cell users (SUs), where the uplink pilot overhead and cross-tier interference are jointly considered. Then, we theoretically analyze the formulated problem and propose a low complexity one-dimensional search algorithm to obtain the optimum pilot allocation. In addition, we propose two suboptimal pilot allocation algorithms to simplify the computational process and improve SUs' fairness, respectively. Finally, simulation results show that the performance of the proposed scheme outperforms that of the traditional schemes.},
keywords={},
doi={10.1587/transfun.E100.A.2314},
ISSN={1745-1337},
month={November},}
Copy
TY - JOUR
TI - Performance Analysis on Uplink Pilot Allocation in TDD Massive MIMO Heterogeneous Networks
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2314
EP - 2322
AU - Wanming HAO
AU - Osamu MUTA
AU - Haris GACANIN
AU - Hiroshi FURUKAWA
PY - 2017
DO - 10.1587/transfun.E100.A.2314
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2017
AB - Massive MIMO (mMIMO) is a promising technology for smart multimedia and wireless communication fields. In this paper, we investigate pilot allocation problem in two-tier time division duplex (TDD) heterogeneous network (HetNet) with mMIMO. First, we propose a new pilot allocation scheme for maximizing ergodic downlink sum rate of macro users (MUs) and small cell users (SUs), where the uplink pilot overhead and cross-tier interference are jointly considered. Then, we theoretically analyze the formulated problem and propose a low complexity one-dimensional search algorithm to obtain the optimum pilot allocation. In addition, we propose two suboptimal pilot allocation algorithms to simplify the computational process and improve SUs' fairness, respectively. Finally, simulation results show that the performance of the proposed scheme outperforms that of the traditional schemes.
ER -
English
