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Compressed sensing-aided multi-dimensional index modulation

Compressed sensing-aided multi-dimensional index modulation
Compressed sensing-aided multi-dimensional index modulation
In this paper, we conceive a compressed sensing (CS)-aided multi-dimensional index modulation (IM) scheme, where the benefits of space–time shift keying, orthogonal frequency-division multiplexing relying on the frequency domain IM, and spatial modulation are explored. Explicitly, extra information bits are transmitted through the active indices of both the transmit antennas and subcarriers, while striking a flexible design tradeoff between the throughput and the diversity order. Furthermore, CS is invoked in both the transmitter and the receiver of our multi-dimensional system for the sake of improving the system’s design flexibility, while reducing the detector’s complexity. We first present the maximum likelihood (ML) detector of the proposed CS-aided multi-dimensional IM system for characterizing the best-case bound of the proposed system’s performance. Specifically, an upper bound is derived for the average bit error probability, and it is observed that the derived theoretical upper bound becomes very tight with the ML detector simulation curves as the signal-to-noise ratio increases. Then, we propose a reduced complexity detector imposing only a modest bit-error-ratio degradation, where we analyze the computational complexities of both the ML detector and the reduced complexity detector. Furthermore, a soft-input soft-output decoder is proposed for attaining a near-capacity performance, which is analyzed with the aid of extrinsic information transfer (EXIT) charts. The maximum achievable rate of the proposed CS-aided multi-dimensional IM system relying both on the ML detection and on our reduced-complexity-based detector is also evaluated using EXIT charts. In addition, the discrete-input continuous-output memoryless channel capacity of the proposed CS-aided multi-dimensional IM scheme is formulated.
0090-6778
4074-4087
Lu, Siyao
464cf7cc-b469-450a-93c2-489a31d1289c
Hemadeh, Ibrahim
6576ce7e-fe4c-4f4d-b5db-84935f38cd9c
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Lu, Siyao
464cf7cc-b469-450a-93c2-489a31d1289c
Hemadeh, Ibrahim
6576ce7e-fe4c-4f4d-b5db-84935f38cd9c
El-Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Lu, Siyao, Hemadeh, Ibrahim, El-Hajjar, Mohammed and Hanzo, Lajos (2019) Compressed sensing-aided multi-dimensional index modulation. IEEE Transactions on Communications, 67 (6), 4074-4087. (doi:10.1109/TCOMM.2019.2902393).

Record type: Article

Abstract

In this paper, we conceive a compressed sensing (CS)-aided multi-dimensional index modulation (IM) scheme, where the benefits of space–time shift keying, orthogonal frequency-division multiplexing relying on the frequency domain IM, and spatial modulation are explored. Explicitly, extra information bits are transmitted through the active indices of both the transmit antennas and subcarriers, while striking a flexible design tradeoff between the throughput and the diversity order. Furthermore, CS is invoked in both the transmitter and the receiver of our multi-dimensional system for the sake of improving the system’s design flexibility, while reducing the detector’s complexity. We first present the maximum likelihood (ML) detector of the proposed CS-aided multi-dimensional IM system for characterizing the best-case bound of the proposed system’s performance. Specifically, an upper bound is derived for the average bit error probability, and it is observed that the derived theoretical upper bound becomes very tight with the ML detector simulation curves as the signal-to-noise ratio increases. Then, we propose a reduced complexity detector imposing only a modest bit-error-ratio degradation, where we analyze the computational complexities of both the ML detector and the reduced complexity detector. Furthermore, a soft-input soft-output decoder is proposed for attaining a near-capacity performance, which is analyzed with the aid of extrinsic information transfer (EXIT) charts. The maximum achievable rate of the proposed CS-aided multi-dimensional IM system relying both on the ML detection and on our reduced-complexity-based detector is also evaluated using EXIT charts. In addition, the discrete-input continuous-output memoryless channel capacity of the proposed CS-aided multi-dimensional IM scheme is formulated.

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Accepted/In Press date: 18 February 2019
e-pub ahead of print date: 1 March 2019
Published date: June 2019

Identifiers

Local EPrints ID: 428690
URI: https://eprints.soton.ac.uk/id/eprint/428690
ISSN: 0090-6778
PURE UUID: ec979c52-4870-4a03-bc7f-8304d6c94b1b
ORCID for Siyao Lu: ORCID iD orcid.org/0000-0002-5239-3964
ORCID for Mohammed El-Hajjar: ORCID iD orcid.org/0000-0002-7987-1401
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 06 Mar 2019 17:30
Last modified: 27 Sep 2019 00:39

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Contributors

Author: Siyao Lu ORCID iD
Author: Ibrahim Hemadeh
Author: Mohammed El-Hajjar ORCID iD
Author: Lajos Hanzo ORCID iD

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