Feedback Design for Multi-Antenna K-Tier Heterogeneous Downlink Cellular Networks

Jeonghun Park; Namyoon Lee; Robert W. Heath

doi:10.1109/TWC.2018.2817193

Feedback Design for Multi-Antenna K-Tier Heterogeneous Downlink Cellular Networks

Jeonghun Park, Namyoon Lee, Robert W. Heath

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

We characterize the ergodic spectral efficiency of a non-cooperative and a cooperative type of K-tier heterogeneous network with limited feedback. In the non-cooperative case, a multi-antenna base station (BS) serves a single-antenna user using maximum-ratio transmission based on limited feedback. In the cooperative case, a BS coordination set is formed by using dynamic clustering across the tiers, wherein the intra-cluster interference is mitigated by using multi cell zero-forcing also based on limited feedback. Modeling the network based on stochastic geometry, we derive analytical expressions for the ergodic spectral efficiency as a function of the system parameters. Leveraging the obtained expressions, we formulate feedback partition problems and obtain solutions to improve the ergodic spectral efficiency. Simulations show the spectral efficiency improvement by using the obtained feedback partitions. Our major findings are as follows: 1) in the non-cooperative case, the feedback is only useful in a particular tier if the mean interference is small enough; 2) in the cooperative case, allocating more feedback to stronger intra-cluster BSS is efficient; and 3) in both cases, the obtained solutions do not change depending on the instantaneous signal-to-interference ratio.

Original language	English
Pages (from-to)	3861-3876
Number of pages	16
Journal	IEEE Transactions on Wireless Communications
Volume	17
Issue number	6
DOIs	https://doi.org/10.1109/TWC.2018.2817193
Publication status	Published - 2018 Jun

Bibliographical note

Funding Information:
Manuscript received August 12, 2017; revised November 21, 2017 and February 2, 2018; accepted March 11, 2018. Date of publication March 27, 2018; date of current version June 8, 2018. This work was supported in part by the National Science Foundation under Grant NSF-CCF-1319556, In part by the Institute for Information & communications Technology Promotion (IITP) under grant funded by the MSIT of the Korea government (No.2018(2016-0-00123), Development of Integer-Forcing MIMO Transceivers for 5G & Beyond Mobile Communication Systems. This paper was presented in part at the IEEE Globecom Workshop, December 2016 [1]. The associate editor coordinating the review of this paper and approving it for publication was W. Zhang. (Corresponding author: Namyoon Lee.) J. Park is with Qualcomm Wireless Research and and Development, San Diego, CA 92121 USA (e-mail: jeonghun@utexas.edu).

Publisher Copyright:
© 2002-2012 IEEE.

All Science Journal Classification (ASJC) codes

Computer Science Applications
Electrical and Electronic Engineering
Applied Mathematics

Access to Document

10.1109/TWC.2018.2817193

Cite this

@article{b135921a92b94c2f8a8743ee1fafd72c,

title = "Feedback Design for Multi-Antenna K-Tier Heterogeneous Downlink Cellular Networks",

abstract = "We characterize the ergodic spectral efficiency of a non-cooperative and a cooperative type of K-tier heterogeneous network with limited feedback. In the non-cooperative case, a multi-antenna base station (BS) serves a single-antenna user using maximum-ratio transmission based on limited feedback. In the cooperative case, a BS coordination set is formed by using dynamic clustering across the tiers, wherein the intra-cluster interference is mitigated by using multi cell zero-forcing also based on limited feedback. Modeling the network based on stochastic geometry, we derive analytical expressions for the ergodic spectral efficiency as a function of the system parameters. Leveraging the obtained expressions, we formulate feedback partition problems and obtain solutions to improve the ergodic spectral efficiency. Simulations show the spectral efficiency improvement by using the obtained feedback partitions. Our major findings are as follows: 1) in the non-cooperative case, the feedback is only useful in a particular tier if the mean interference is small enough; 2) in the cooperative case, allocating more feedback to stronger intra-cluster BSS is efficient; and 3) in both cases, the obtained solutions do not change depending on the instantaneous signal-to-interference ratio.",

author = "Jeonghun Park and Namyoon Lee and Heath, {Robert W.}",

note = "Funding Information: Manuscript received August 12, 2017; revised November 21, 2017 and February 2, 2018; accepted March 11, 2018. Date of publication March 27, 2018; date of current version June 8, 2018. This work was supported in part by the National Science Foundation under Grant NSF-CCF-1319556, In part by the Institute for Information & communications Technology Promotion (IITP) under grant funded by the MSIT of the Korea government (No.2018(2016-0-00123), Development of Integer-Forcing MIMO Transceivers for 5G & Beyond Mobile Communication Systems. This paper was presented in part at the IEEE Globecom Workshop, December 2016 [1]. The associate editor coordinating the review of this paper and approving it for publication was W. Zhang. (Corresponding author: Namyoon Lee.) J. Park is with Qualcomm Wireless Research and and Development, San Diego, CA 92121 USA (e-mail: jeonghun@utexas.edu). Publisher Copyright: {\textcopyright} 2002-2012 IEEE.",

year = "2018",

month = jun,

doi = "10.1109/TWC.2018.2817193",

language = "English",

volume = "17",

pages = "3861--3876",

journal = "IEEE Transactions on Wireless Communications",

issn = "1536-1276",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "6",

}

TY - JOUR

T1 - Feedback Design for Multi-Antenna K-Tier Heterogeneous Downlink Cellular Networks

AU - Park, Jeonghun

AU - Lee, Namyoon

AU - Heath, Robert W.

N1 - Funding Information: Manuscript received August 12, 2017; revised November 21, 2017 and February 2, 2018; accepted March 11, 2018. Date of publication March 27, 2018; date of current version June 8, 2018. This work was supported in part by the National Science Foundation under Grant NSF-CCF-1319556, In part by the Institute for Information & communications Technology Promotion (IITP) under grant funded by the MSIT of the Korea government (No.2018(2016-0-00123), Development of Integer-Forcing MIMO Transceivers for 5G & Beyond Mobile Communication Systems. This paper was presented in part at the IEEE Globecom Workshop, December 2016 [1]. The associate editor coordinating the review of this paper and approving it for publication was W. Zhang. (Corresponding author: Namyoon Lee.) J. Park is with Qualcomm Wireless Research and and Development, San Diego, CA 92121 USA (e-mail: jeonghun@utexas.edu). Publisher Copyright: © 2002-2012 IEEE.

PY - 2018/6

Y1 - 2018/6

N2 - We characterize the ergodic spectral efficiency of a non-cooperative and a cooperative type of K-tier heterogeneous network with limited feedback. In the non-cooperative case, a multi-antenna base station (BS) serves a single-antenna user using maximum-ratio transmission based on limited feedback. In the cooperative case, a BS coordination set is formed by using dynamic clustering across the tiers, wherein the intra-cluster interference is mitigated by using multi cell zero-forcing also based on limited feedback. Modeling the network based on stochastic geometry, we derive analytical expressions for the ergodic spectral efficiency as a function of the system parameters. Leveraging the obtained expressions, we formulate feedback partition problems and obtain solutions to improve the ergodic spectral efficiency. Simulations show the spectral efficiency improvement by using the obtained feedback partitions. Our major findings are as follows: 1) in the non-cooperative case, the feedback is only useful in a particular tier if the mean interference is small enough; 2) in the cooperative case, allocating more feedback to stronger intra-cluster BSS is efficient; and 3) in both cases, the obtained solutions do not change depending on the instantaneous signal-to-interference ratio.

AB - We characterize the ergodic spectral efficiency of a non-cooperative and a cooperative type of K-tier heterogeneous network with limited feedback. In the non-cooperative case, a multi-antenna base station (BS) serves a single-antenna user using maximum-ratio transmission based on limited feedback. In the cooperative case, a BS coordination set is formed by using dynamic clustering across the tiers, wherein the intra-cluster interference is mitigated by using multi cell zero-forcing also based on limited feedback. Modeling the network based on stochastic geometry, we derive analytical expressions for the ergodic spectral efficiency as a function of the system parameters. Leveraging the obtained expressions, we formulate feedback partition problems and obtain solutions to improve the ergodic spectral efficiency. Simulations show the spectral efficiency improvement by using the obtained feedback partitions. Our major findings are as follows: 1) in the non-cooperative case, the feedback is only useful in a particular tier if the mean interference is small enough; 2) in the cooperative case, allocating more feedback to stronger intra-cluster BSS is efficient; and 3) in both cases, the obtained solutions do not change depending on the instantaneous signal-to-interference ratio.

UR - http://www.scopus.com/inward/record.url?scp=85044866414&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85044866414&partnerID=8YFLogxK

U2 - 10.1109/TWC.2018.2817193

DO - 10.1109/TWC.2018.2817193

M3 - Article

AN - SCOPUS:85044866414

SN - 1536-1276

VL - 17

SP - 3861

EP - 3876

JO - IEEE Transactions on Wireless Communications

JF - IEEE Transactions on Wireless Communications

IS - 6

ER -

Feedback Design for Multi-Antenna K-Tier Heterogeneous Downlink Cellular Networks

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

Access to Document

Other files and links

Fingerprint

Cite this