Energy Efficient Multicast Precoding for Multiuser Multibeam Satellite Communications

Chenhao Qi; Huajian Chen; Yansha Deng; Arumugam Nallanathan

doi:10.1109/LWC.2019.2962692

Energy Efficient Multicast Precoding for Multiuser Multibeam Satellite Communications

Chenhao Qi^*, Huajian Chen, Yansha Deng, Arumugam Nallanathan

^*Corresponding author for this work

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

36 Citations (Scopus)

Abstract

Aiming at maximizing the energy efficiency (EE) of multicast multibeam satellite communications, we consider the precoding design under the total power and quality of service (QoS) constraints. Since the original EE maximization problem is nonconvex, it is sequentially converted into a concave-convex fractional programming problem by introducing some variables and using the first-order Taylor low bound approximation. Based on the Charnes-Cooper transformation, it is further converted into a convex problem. Then an iterative algorithm is presented to design the energy efficient precoding. To find feasible initialization points for the algorithm and ensure its convergence, another convex optimization problem with some nonnegative slack variables and a positive penalty parameter is iteratively solved. In particular, the algorithm is verified by the measured channel data of multibeam satellite communications.

Original language	English
Article number	8944289
Pages (from-to)	567-570
Number of pages	4
Journal	IEEE Wireless Communications Letters
Volume	9
Issue number	4
DOIs	https://doi.org/10.1109/LWC.2019.2962692
Publication status	Published - Apr 2020

Keywords

energy efficiency (EE)
multibeam satellite
multicast precoding
Satellite communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/LWC.2019.2962692

Cite this

@article{70c5e1daaaf44e3bb22c774cd3805610,

title = "Energy Efficient Multicast Precoding for Multiuser Multibeam Satellite Communications",

abstract = "Aiming at maximizing the energy efficiency (EE) of multicast multibeam satellite communications, we consider the precoding design under the total power and quality of service (QoS) constraints. Since the original EE maximization problem is nonconvex, it is sequentially converted into a concave-convex fractional programming problem by introducing some variables and using the first-order Taylor low bound approximation. Based on the Charnes-Cooper transformation, it is further converted into a convex problem. Then an iterative algorithm is presented to design the energy efficient precoding. To find feasible initialization points for the algorithm and ensure its convergence, another convex optimization problem with some nonnegative slack variables and a positive penalty parameter is iteratively solved. In particular, the algorithm is verified by the measured channel data of multibeam satellite communications.",

keywords = "energy efficiency (EE), multibeam satellite, multicast precoding, Satellite communications",

author = "Chenhao Qi and Huajian Chen and Yansha Deng and Arumugam Nallanathan",

year = "2020",

month = apr,

doi = "10.1109/LWC.2019.2962692",

language = "English",

volume = "9",

pages = "567--570",

journal = "IEEE Wireless Communications Letters",

issn = "2162-2337",

publisher = "IEEE Communications Society",

number = "4",

}

TY - JOUR

T1 - Energy Efficient Multicast Precoding for Multiuser Multibeam Satellite Communications

AU - Qi, Chenhao

AU - Chen, Huajian

AU - Deng, Yansha

AU - Nallanathan, Arumugam

PY - 2020/4

Y1 - 2020/4

N2 - Aiming at maximizing the energy efficiency (EE) of multicast multibeam satellite communications, we consider the precoding design under the total power and quality of service (QoS) constraints. Since the original EE maximization problem is nonconvex, it is sequentially converted into a concave-convex fractional programming problem by introducing some variables and using the first-order Taylor low bound approximation. Based on the Charnes-Cooper transformation, it is further converted into a convex problem. Then an iterative algorithm is presented to design the energy efficient precoding. To find feasible initialization points for the algorithm and ensure its convergence, another convex optimization problem with some nonnegative slack variables and a positive penalty parameter is iteratively solved. In particular, the algorithm is verified by the measured channel data of multibeam satellite communications.

AB - Aiming at maximizing the energy efficiency (EE) of multicast multibeam satellite communications, we consider the precoding design under the total power and quality of service (QoS) constraints. Since the original EE maximization problem is nonconvex, it is sequentially converted into a concave-convex fractional programming problem by introducing some variables and using the first-order Taylor low bound approximation. Based on the Charnes-Cooper transformation, it is further converted into a convex problem. Then an iterative algorithm is presented to design the energy efficient precoding. To find feasible initialization points for the algorithm and ensure its convergence, another convex optimization problem with some nonnegative slack variables and a positive penalty parameter is iteratively solved. In particular, the algorithm is verified by the measured channel data of multibeam satellite communications.

KW - energy efficiency (EE)

KW - multibeam satellite

KW - multicast precoding

KW - Satellite communications

UR - http://www.scopus.com/inward/record.url?scp=85083231464&partnerID=8YFLogxK

U2 - 10.1109/LWC.2019.2962692

DO - 10.1109/LWC.2019.2962692

M3 - Article

AN - SCOPUS:85083231464

SN - 2162-2337

VL - 9

SP - 567

EP - 570

JO - IEEE Wireless Communications Letters

JF - IEEE Wireless Communications Letters

IS - 4

M1 - 8944289

ER -

Energy Efficient Multicast Precoding for Multiuser Multibeam Satellite Communications

Abstract

Keywords

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this