Efficient and asymptotically optimal resource block allocation

Ilai Bistritz, Amir Leshem

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

3 Scopus citations

Abstract

Consider a channel allocation problem over a frequency-selective channel. There are K channels (frequency-bands) and N users such that K = bN for some positive integer b. We want to allocate b channels (or resource blocks) for each user. Due to the nature of the frequency-selective channel, each user considers some channels to be better than others. Allocating each user only good channels will result in better performance than an allocation that ignores the selectivity of the channel. The optimal solution for this resource allocation problem can be computed using the Hungarian algorithm. However, this requires knowledge of the numerical value of all the channel gains, which makes this approach impractical for large networks. We suggest a suboptimal approach, that only requires knowing what the M-best channels of each user are. We find the minimal value of M such that there exists an allocation where all the b channels each user gets are among his M-best. This leads to a feedback of significantly less than one bit per user per channel. For a large class of fading distributions, including Rayleigh, Rician, m-Nakagami and more, this suboptimal approach leads to both an asymptotically (in K) optimal sum-rate and asymptotically optimal minimal rate. Our non-opportunistic approach achieves asymptotically full multiuser diversity and optimal fairness, in contrast to all existing limited feedback algorithms.

Original languageAmerican English
Title of host publication2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1-6
Number of pages6
ISBN (Electronic)9781538617342
DOIs
StatePublished - 8 Jun 2018
Externally publishedYes
Event2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 - Barcelona, Spain
Duration: 15 Apr 201818 Apr 2018

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
Volume2018-April
ISSN (Print)1525-3511

Conference

Conference2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
Country/TerritorySpain
CityBarcelona
Period15/04/1818/04/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Channel State Information
  • Multiuser Diversity
  • Random Bipartite Graphs
  • Resource Allocation

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