On Sum-Rate and Fairness of MIMO Downlink Communications

Hsiao Feng Francis Lu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The tradeoff between sum-rate and fairness for MIMO downlink communications employing dirty paper coding (DPC) is investigated in this paper. More specifically, we first apply the luml1 -norm fairness measure to formulate the tradeoff as a certain optimization problem, which is unfortunately nonconvex and cannot be efficiently solved. To overcome the difficulty, we make use of the uplink-downlink duality to transform the problem back and forth between uplink and downlink communications. An efficient, iterative waterfilling based algorithm is then provided to yield achievable points on the sum rate-fairness tradeoff. Simulation results show surprisingly that the proposed DPC-based approach offers a significant gain in the achievable sum-rates for a wide range of fairness values, when compared to successive zero-forcing DPC-based coding schemes.

Original languageEnglish
Title of host publication2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665413688
StatePublished - 2021
Event94th IEEE Vehicular Technology Conference, VTC 2021-Fall - Virtual, Online, United States
Duration: 27 Sep 202130 Sep 2021

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Conference94th IEEE Vehicular Technology Conference, VTC 2021-Fall
Country/TerritoryUnited States
CityVirtual, Online


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