Achieving max-min fairness for MU-MISO with partial CSIT: A multicast assisted transmission

Hamdi Joudeh; Bruno Clerckx

doi:10.1109/ICC.2015.7249072

Achieving max-min fairness for MU-MISO with partial CSIT: A multicast assisted transmission

Hamdi Joudeh, Bruno Clerckx

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

Abstract

We address the max-min fairness design problem for a MU-MISO system with partial Channel State Information (CSI) at the Base Station (BS), consisting of an imperfect channel estimate and statistical knowledge of the estimation error, and perfect CSI at the receivers. The objective is to maximize the minimum Average Rate (AR) among users subject to a transmit power constraint. An unconventional transmission scheme is adopted where the Base Station (BS) transmits a common message in addition to the conventional private messages. In situations where the CSIT is not accurate enough to perform interference nulling, individual rates are assisted by allocating parts of the common message to different users according to their needs. The AR problem is transformed into an augmented AverageWeighted Mean Square Error (AWMSE) problem, solved using Alternating Optimization (AO). The benefits of incorporating the common message are demonstrated through simulations.

Original language	English
Title of host publication	2015 IEEE International Conference on Communications (ICC)
Publisher	Institute of Electrical and Electronics Engineers
Pages	4739-4744
Number of pages	6
ISBN (Electronic)	978-1-4673-6432-4
DOIs	https://doi.org/10.1109/ICC.2015.7249072
Publication status	Published - 10 Sept 2015
Externally published	Yes
Event	2015 IEEE International Conference on Communications (ICC 2015) - London, United Kingdom Duration: 8 Jun 2015 → 12 Jun 2015

Conference

Conference	2015 IEEE International Conference on Communications (ICC 2015)
Abbreviated title	ICC 2015
Country/Territory	United Kingdom
City	London
Period	8/06/15 → 12/06/15

Keywords

AWMSE
max-min fairness
MISO-JMB

Access to Document

10.1109/ICC.2015.7249072

Cite this

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abstract = "We address the max-min fairness design problem for a MU-MISO system with partial Channel State Information (CSI) at the Base Station (BS), consisting of an imperfect channel estimate and statistical knowledge of the estimation error, and perfect CSI at the receivers. The objective is to maximize the minimum Average Rate (AR) among users subject to a transmit power constraint. An unconventional transmission scheme is adopted where the Base Station (BS) transmits a common message in addition to the conventional private messages. In situations where the CSIT is not accurate enough to perform interference nulling, individual rates are assisted by allocating parts of the common message to different users according to their needs. The AR problem is transformed into an augmented AverageWeighted Mean Square Error (AWMSE) problem, solved using Alternating Optimization (AO). The benefits of incorporating the common message are demonstrated through simulations.",

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Joudeh, H & Clerckx, B 2015, Achieving max-min fairness for MU-MISO with partial CSIT: A multicast assisted transmission. in 2015 IEEE International Conference on Communications (ICC)., 7249072, Institute of Electrical and Electronics Engineers, pp. 4739-4744, 2015 IEEE International Conference on Communications (ICC 2015), London, United Kingdom, 8/06/15. https://doi.org/10.1109/ICC.2015.7249072

Achieving max-min fairness for MU-MISO with partial CSIT: A multicast assisted transmission. / Joudeh, Hamdi; Clerckx, Bruno.
2015 IEEE International Conference on Communications (ICC). Institute of Electrical and Electronics Engineers, 2015. p. 4739-4744 7249072.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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Achieving max-min fairness for MU-MISO with partial CSIT: A multicast assisted transmission

Abstract

Conference

Keywords

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