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Massive MIMO via Cooperative Users

Hu, Sha LU ; Rusek, Fredrik LU and Edfors, Ove LU (2017) 50th Annual Asilomar Conference on Signals, Systems, and Computers (ASILOMAR 2016) In 50th Asilomar Conference on Signals, Systems and Computers, 2016 p.177-182
Abstract
We consider a case where K closely located users communicate with a base station in the uplink of a wireless communication system. Each user has a certain number of assigned time-frequency slots at its disposal. At a small cost, which we in this paper consider as negliable, the users can communicate with each other and share their data. Thus, they can cooperate in the uplink in order to save transmit power. When many single-antenna users cooperate tightly to enhance their communication using maximum-ratio transmission, they essentially form a massive MIMO array. We investigate the case with a single receiving base station antenna, but the same general principle applies with multiple receiving antennas. We formulate a game theoretic model... (More)
We consider a case where K closely located users communicate with a base station in the uplink of a wireless communication system. Each user has a certain number of assigned time-frequency slots at its disposal. At a small cost, which we in this paper consider as negliable, the users can communicate with each other and share their data. Thus, they can cooperate in the uplink in order to save transmit power. When many single-antenna users cooperate tightly to enhance their communication using maximum-ratio transmission, they essentially form a massive MIMO array. We investigate the case with a single receiving base station antenna, but the same general principle applies with multiple receiving antennas. We formulate a game theoretic model for this, and study what savings are possible, and to what extent users are willing to take part in the cooperation. Our findings are that large gains are possible, and that all users cooperate. Further, users are able to establish their transmit powers without any moderator. (Less)
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
50th Asilomar Conference on Signals, Systems and Computers, 2016
pages
6 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
50th Annual Asilomar Conference on Signals, Systems, and Computers (ASILOMAR 2016)
external identifiers
  • scopus:85016273569
ISBN
978-1-5386-3954-2
DOI
10.1109/ACSSC.2016.7869019
language
English
LU publication?
yes
id
0974a797-eef4-40af-82d9-3cd1ce107f6e
date added to LUP
2017-03-16 13:57:33
date last changed
2018-01-07 11:56:03
@inproceedings{0974a797-eef4-40af-82d9-3cd1ce107f6e,
  abstract     = {We consider a case where K closely located users communicate with a base station in the uplink of a wireless communication system. Each user has a certain number of assigned time-frequency slots at its disposal. At a small cost, which we in this paper consider as negliable, the users can communicate with each other and share their data. Thus, they can cooperate in the uplink in order to save transmit power. When many single-antenna users cooperate tightly to enhance their communication using maximum-ratio transmission, they essentially form a massive MIMO array. We investigate the case with a single receiving base station antenna, but the same general principle applies with multiple receiving antennas. We formulate a game theoretic model for this, and study what savings are possible, and to what extent users are willing to take part in the cooperation. Our findings are that large gains are possible, and that all users cooperate. Further, users are able to establish their transmit powers without any moderator.},
  author       = {Hu, Sha and Rusek, Fredrik and Edfors, Ove},
  booktitle    = {50th Asilomar Conference on Signals, Systems and Computers, 2016 },
  isbn         = {978-1-5386-3954-2},
  language     = {eng},
  pages        = {177--182},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Massive MIMO via Cooperative Users},
  url          = {http://dx.doi.org/10.1109/ACSSC.2016.7869019},
  year         = {2017},
}