SwePub
Sök i LIBRIS databas

  Extended search

onr:"swepub:oai:DiVA.org:umu-206499"
 

Search: onr:"swepub:oai:DiVA.org:umu-206499" > A quantum search ba...

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist
  • Li, FeiUmeå universitet,Institutionen för tillämpad fysik och elektronik,Key Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunication, Ministry of Education, Nanjing, China (author)

A quantum search based signal detection for MIMO-OFDM systems

  • Article/chapterEnglish2011

Publisher, publication year, extent ...

  • IEEE,2011
  • printrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:umu-206499
  • https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-206499URI
  • https://doi.org/10.1109/CTS.2011.5898934DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:kon swepub-publicationtype

Notes

  • Multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) is considered as candidates for future broadband wireless services. In this paper a novel signal detection scheme based on Grover's quantum search algorithm is proposed for MIMO-OFDM systems. Grover's quantum search algorithm is based on the concept and principles of quantum computing, such as quantum bit, quantum register and quantum parallelism. An analysis is given to the theoretical basis of Grover's algorithm and the performance of Grover's algorithm is evaluated. A novel signal detector based on Grover's algorithm (GD) for MIMO-OFDM system is proposed. The simulation results show that the proposed detector has more powerful properties in bit error rate than MMSE detector and VBLAST-MMSE detector. The performance of the proposed GD detector is close to optimal when the failure probability is 0.001. When the failure probability is 0.00001, the performance of GD detector declines. In this case, our proposed improved Grover's algorithm based detector is still close to the optimal ML detector. The complexity of GD and IGD is O(√N). It's much better than classical ML detector which complexity is O(N). 

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • Zhou, LizhiKey Lab of Broadband Wireless Communication and Sensor Network Technology, Nanjing University of Posts and Telecommunication, Ministry of Education, Nanjing, China (author)
  • Liu, Li,1965-Umeå universitet,Institutionen för tillämpad fysik och elektronik(Swepub:umu)lili0001 (author)
  • Li, Haibo,1960-Umeå universitet,Institutionen för tillämpad fysik och elektronik(Swepub:umu)haolii04 (author)
  • Umeå universitetInstitutionen för tillämpad fysik och elektronik (creator_code:org_t)

Related titles

  • In:18th International Conference on Telecommunications, ICT 2011: IEEE, s. 276-28197814577002489781457700255

Internet link

Find in a library

To the university's database

  • 1 of 1
  • Previous record
  • Next record
  •    To hitlist

Find more in SwePub

By the author/editor
Li, Fei
Zhou, Lizhi
Liu, Li, 1965-
Li, Haibo, 1960-
About the subject
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Electrical Engin ...
and Telecommunicatio ...
ENGINEERING AND TECHNOLOGY
ENGINEERING AND ...
and Electrical Engin ...
and Communication Sy ...
Articles in the publication
18th Internation ...
By the university
Umeå University

Search outside SwePub

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view