Turbo Coding, Turbo Equalisation and Space‐Time Coding

Hanzo, Lajos; Liew, T.H.; Yeap, B. L.

doi:10.1002/047085474x

Cited by 418 publications

(195 citation statements)

References 231 publications

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“…The likelihood function for c k = 0 can also be simplified by applying similar operations to those of (9), (11) and (12), yielding (13). Upon excluding the a-priori part, the extrinsic information is expressed as (14).…”

Section: Proposed Decoding Algorithmmentioning

confidence: 99%

“…for the BS in the UL), which is capable of mitigating the associated error propagation. In the proposed algorithm, the decoding errors encountered at the RSs are taken into account, when iterative MIMO detection/decoding [13] is performed at the BS. More explicitly, the decoding errors of a RS can be corrected at the BS with the aid of the side information, which is generated from the substreams received from other RSs as well as from the signal directly received from the source node.…”

Section: Introductionmentioning

confidence: 99%

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Iterative Detection and Decoding for Hard-Decision Forwarding Aided Cooperative Spatial Multiplexing

Lee

Hanzo

2009

2009 IEEE International Conference on Communications

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Abstract-In this paper,1 the optimal decoding strategy for cooperative spatial multiplexing (CSM) aided systems is derived. In CSM systems, the multiple relay stations (RSs), which compose a virtual antenna array (VAA), independently decode the packets received from the mobile stations (MS) and forward them to the base station (BS). When the BS decodes the signal forwarded from the RSs, the potential decoding errors encountered at the RSs will result in erroneous forwarding, but their effects are mitigated by the proposed solution. Our simulation results show that when the direct link has a significantly higher signal-tonoise ratio than the relay link, the proposed decoding algorithm achieves an approximately 3 dB better performance than conventional CSM, which does not consider the deleterious effects of erroneous forwarding from the RSs.

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Section: Proposed Decoding Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Iterative Detection and Decoding for Hard-Decision Forwarding Aided Cooperative Spatial Multiplexing

Lee

Hanzo

2009

2009 IEEE International Conference on Communications

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“…The PRI is calculated based on the Log Likelihood Ratio (LLR) [13] of the bits. Hence we introduced an Here we continue our discourse by characterizing the LLR threshold, denoted as It.…”

Section: Per and Ber Performancementioning

confidence: 99%

Luby Transform Coding Aided Iterative Detection for Downlink SDMA Systems

Wei

Nguyen

et al. 2007

2007 IEEE Workshop on Signal Processing Systems

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“…Instead, they aim for increasing the throughput of a wireless system in terms tems [10] of the number of bits per symbol that can be transmitted by a given user in a given bandwidth at a given integrity. Space Division Multi-SDMA exploits the unique, user-specific "spatial signature" of the individual users for differentiating ple Access (SDMA) [9] [ 12]) [ 1 ] and of the different antennas experience independent fading, resulting in the maximum achievable diversity gain. Space-Time Spreading (STS) [4] Beamforming [7] Typically A/2-spaced antenna elements are used for the sake of creating a spatially selective transmitter/receiver beam.…”

Section: The Mimo Eramentioning

confidence: 99%

“…which was documented in detail in [4,8]. These waveform design advance have led to the conception of the High-Speed Downlink Packed Access (HSDPA) High-Speed Uplink Packed Access (HSUPA) modes of the 3G systems, which rely on the extensice employment of AQAM and adaptive channel coding concepts [1]. Naturally, the transceivers have to be designed to satisfy the exact specifications of the highest-throughput and hence most sensitive QAM mode of operation.…”

mentioning

confidence: 99%