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Lexicographic codebook design for OFDM with index modulation

Abstract:
In this paper, we propose a novel codebook design scheme for orthogonal frequency-division multiplexing with index modulation (OFDM-IM) to improve system performance. The optimization process can be implemented efficiently by the lexicographic ordering principle. By applying the proposed codebook design, all subcarrier activation patterns with a fixed number of active subcarriers will be explored. Furthermore, as the number of active subcarriers is fixed, the computational complexity for estimation at the receiver is reduced and the zero-active subcarrier dilemma is solved without involving complex higher layer transmission protocols. It is found that the codebook design can potentially provide a tradeoff between diversity and transmission rate. We investigate the diversity mechanism and formulate three diversity-rate optimization problems for the proposed OFDM-IM system. Based on the genetic algorithm, the method of solving these formulated optimization problems is provided and verified to be effective. Then, we analyze the average block error rate and bit error rate of the OFDM-IM systems applying the codebook design. Finally, all analyses are numerically verified by the Monte Carlo simulations. In addition, a series of comparisons are provided, by which the superiority of the codebook design is confirmed.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/TWC.2018.2876821

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Oxford college:
Oriel College
Role:
Author
ORCID:
0000-0002-9623-5087


Publisher:
Institute of Electrical and Electronics Engineers
Journal:
IEEE Transactions on Wireless Communications More from this journal
Volume:
17
Issue:
12
Pages:
8373-8387
Publication date:
2018-11-01
Acceptance date:
2018-10-15
DOI:
ISSN:
1536-1276


Keywords:
Pubs id:
pubs:929513
UUID:
uuid:8467b1ac-bd55-4103-92b2-1008484a82c1
Local pid:
pubs:929513
Source identifiers:
929513
Deposit date:
2018-10-19

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