Nonuniform phase-shift-key modulation for multimedia multicast transmission in mobile wireless networks

Pursley, M.B.; Shea, John M.

doi:10.1109/49.768194

Cited by 84 publications

(41 citation statements)

References 14 publications

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“…Layered forward error correction (FEC) was proposed as an error control mechanism in a layered multicast framework, in which receivers can obtain the different levels of protection commensurate with their respective channel conditions by organizing FEC into multiple layers [16]. Alternatively, to cope with heterogeneity, the non-uniform phase-shift keying (PSK) has been used [17]. The method uses a non-uniform constellation design in which the most important layer data is encoded to constellation points that are farther apart from each other than the points to which the less important layer data are encoded.…”

Section: Scalable Transmission For a Multicast Systemmentioning

confidence: 99%

Cross-layer design of adaptive modulation and coding for multicast system with random network coding

Kim

Jeong

et al. 2014

J Wireless Com Network

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This paper deals with a cross-layer design that combines link adaptation in the physical layer with random network coding for layered video multicasting in a cellular system. The objective is to design the optimum signal-to-noise ratio (SNR) threshold for adaptive modulation and coding (AMC) that can satisfy the target frame loss rate (FLS) under a delay constraint associated with real-time multicasting services. A common uplink feedback channel shared by all users is introduced to reduce the redundant transmission of the random network-coded packets, so that no unnecessarily redundant transmission can be made when the multicast packet is successful for all receivers, avoiding the overhead of the uplink wireless resource associated with each user for individual feedback. Based on our analytical results on spectral efficiency for the cellular system, we show that the aggressive AMC design approach with the common feedback channel in the multicast system outperforms all other approaches.

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Section: Scalable Transmission For a Multicast Systemmentioning

confidence: 99%

Cross-layer design of adaptive modulation and coding for multicast system with random network coding

Kim

Jeong

et al. 2014

J Wireless Com Network

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“…The relative probability of the error for the two message streams are controlled by varying the modulation parameter  from π 0 to 4 called also the offset angle. To derive the error probability for data mapping to different resolutions of the signal constellation, we have followed [9]. The noise is modeled as stationary Gaussian noise with one sided spectral density 0 .…”

Section: Performance Of Mr-mqammentioning

confidence: 99%

A Multiresolution Channel Decomposition for H.264/AVC Unequal Error Protection

Abbadi¹,

Abbadi²

2012

JSIP

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The most commonly used transmission channel in nowadays provides the same level of protection for all the information symbols. As the level of protection should be adequate to the importance of the information set, it is justified to use UEP channels in order to protect information of variable importance. Multiresolution channel decomposition has emerged as a strong concept and when combined with H.264/AVC layered multiresolution source it leads to outstanding results especially for mobile TV applications. Our approach is a double multiresolution scheme with embedded constellation modulations on its baseband channels followed by OFDM time/frequency multiresolution passband modulation. The aim is to protect The NAL units carrying the most valuable information by the coarse constellations into coarse sub-channels, and the NAL units that contain residual data by fined constellations and transposed into the fined OFDM sub-channels. In the multiresolution protection coding, our approach is a multiresolution decomposition of the core convolutional constituent of the PCCC where the NAL units carrying the most valuable information are coded by the rugged coefficient of the multiresolution code and the NAL units that contains residual data are coded by refined less secure coding coefficients.

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“…Also of interest are nonuniform phase-shift keying (PSK) and quadrature amplitude modulation (QAM) constellations (sometimes called hierarchical modulation) discussed in, for example, [8] and [9] for the broadcast channel in which certain "base bits" are transmitted with a high probability of being correct, while additional "refinement bits" can be observed only by users in high-SNR regions. These systems focus on ensuring a base bit stream is available to all users (with refinements available when possible); in contrast, our system does not specify any base bits or refinement bits a priori in a symbol, but focuses on demodulating whichever bits are more likely at the receiver.…”

Section: Introductionmentioning

confidence: 99%

Adaptive demodulation using rateless erasure codes

Brown¹,

Pasupathy

Plataniotis

2006

IEEE Trans. Commun.

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Abstract-We introduce a rate-adaptive system in which the receiver demodulates only those bits that have a high probability of being correct, treating nondemodulated bits as erasures. Several sets of decision regions, derived using composite hypothesis testing, are proposed for 16-QAM and 16-phase-shift keying, which allow for the simple implementation of this demodulation strategy. We demonstrate that pre-encoding the data with a Raptor code allows for simple reconstruction of the message, regardless of the erasure pattern introduced from the nondemodulated bits. We prove the optimality of the proposed decision regions in selecting the most likely subset of bits from any received symbol in moderate-to-high signal-to-noise ratios, and we analyze the performance of demodulating with these decision regions over an additive white Gaussian noise channel. Also demonstrated is the strong performance of 16-QAM for this application, compared with other power-efficient constellations and the near-optimality of using Gray mapping, even under the proposed alternate sets of decision regions.

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Nonuniform phase-shift-key modulation for multimedia multicast transmission in mobile wireless networks

Cited by 84 publications

References 14 publications

Cross-layer design of adaptive modulation and coding for multicast system with random network coding

Cross-layer design of adaptive modulation and coding for multicast system with random network coding

A Multiresolution Channel Decomposition for H.264/AVC Unequal Error Protection

Adaptive demodulation using rateless erasure codes

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