Turbo Detection of Precoded Sphere Packing Modulation Using Four Transmit Antennas for Differential Space-Time Spreading
Turbo Detection of Precoded Sphere Packing Modulation Using Four Transmit Antennas for Differential Space-Time Spreading
This paper presents a novel turbo-detected multidimensional Sphere Packing (SP) modulation scheme using four transmit antennas combined with Differentially encoded Space-Time Spreading (DSTS). The DSTS scheme can be readily combined with PSK, QAM as well as SP modulation schemes. The SP-aided DSTS system advocated has low-complexity encoding and decoding algorithms that require no channel knowledge and it is capable of outperforming the DSTS system dispensing with sphere packing. Further system performance improvements can be attained by serially concatenated convolutional encoding combined with a unity-rate code (URC) referred to as a precoder. Then, at the receiver side, iterative decoding is invoked by exchanging extrinsic information between the precoder’s decoder as well as the outer Recursive Systematic Convolutional (RSC) code’s decoder. Moreover, the convergence behaviour of the proposed system is evaluated with the aid of Extrinsic Information Transfer (EXIT) charts. Explicitly, the turbo-detected precoded DSTS-SP system performs within 1.6 dB of the achievable multiple-input multiple output (MIMO) capacity. Finally, in contrast to an equivalent 0.5 bit/symbol throughput turbodetected DSTS-SP scheme using no precoding, the turbo-detected precoded DSTS-SP scheme exhibits no error floor. Index Terms—MIMO, differential space-time spreading, sphere packing modulation, recursive systematic convolutional code, unity rate precoder.
943-952
El Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Alamri, Osamah
292e7399-6cdb-4eb6-b0f4-51f738ea04c1
Ng, Soon
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
March 2008
El Hajjar, Mohammed
3a829028-a427-4123-b885-2bab81a44b6f
Alamri, Osamah
292e7399-6cdb-4eb6-b0f4-51f738ea04c1
Ng, Soon
e19a63b0-0f12-4591-ab5f-554820d5f78c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
El Hajjar, Mohammed, Alamri, Osamah, Ng, Soon and Hanzo, Lajos
(2008)
Turbo Detection of Precoded Sphere Packing Modulation Using Four Transmit Antennas for Differential Space-Time Spreading.
IEEE Transactions on Wireless Communications, 7 (3), .
(doi:10.1109/TWC.2008.060708).
Abstract
This paper presents a novel turbo-detected multidimensional Sphere Packing (SP) modulation scheme using four transmit antennas combined with Differentially encoded Space-Time Spreading (DSTS). The DSTS scheme can be readily combined with PSK, QAM as well as SP modulation schemes. The SP-aided DSTS system advocated has low-complexity encoding and decoding algorithms that require no channel knowledge and it is capable of outperforming the DSTS system dispensing with sphere packing. Further system performance improvements can be attained by serially concatenated convolutional encoding combined with a unity-rate code (URC) referred to as a precoder. Then, at the receiver side, iterative decoding is invoked by exchanging extrinsic information between the precoder’s decoder as well as the outer Recursive Systematic Convolutional (RSC) code’s decoder. Moreover, the convergence behaviour of the proposed system is evaluated with the aid of Extrinsic Information Transfer (EXIT) charts. Explicitly, the turbo-detected precoded DSTS-SP system performs within 1.6 dB of the achievable multiple-input multiple output (MIMO) capacity. Finally, in contrast to an equivalent 0.5 bit/symbol throughput turbodetected DSTS-SP scheme using no precoding, the turbo-detected precoded DSTS-SP scheme exhibits no error floor. Index Terms—MIMO, differential space-time spreading, sphere packing modulation, recursive systematic convolutional code, unity rate precoder.
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meh-oa-sxn-lh-mar08-TWC.pdf
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Published date: March 2008
Organisations:
Southampton Wireless Group
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Local EPrints ID: 265891
URI: http://eprints.soton.ac.uk/id/eprint/265891
PURE UUID: 04289588-171e-43ab-99fc-33040f03b3fa
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Date deposited: 10 Jun 2008 16:06
Last modified: 18 Mar 2024 03:21
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