On the sum-capacity of Gaussian MAC with peak constraint

Mamandipoor, Babak; Moshksar, Kamyar; Khandani, Amir K.

doi:10.1109/isit.2012.6284012

Cited by 17 publications

(16 citation statements)

References 13 publications

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“…For this scenario, we make the assumption that the optimal distributions of the two inputs are still in the form (11). This result has been demonstrated for real inputs [15], but not for complex inputs, as the case of interest here. For this reason, the computed IR is a lower bound to the actual channel capacity, whose expression is not known.…”

Section: B Analysis For Two Transmittersmentioning

confidence: 78%

On the Use of Multiple Satellites to Improve the Spectral Efficiency of Broadcast Transmissions

Modenini

Ugolini

Piemontese

et al. 2015

IEEE Trans. on Broadcast.

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We consider the use of multiple co-located satellites to improve the spectral efficiency of broadcast transmissions. In particular, we assume that two satellites transmit on overlapping geographical coverage areas, with overlapping frequencies. We first describe the theoretical framework based on network information theory and, in particular, on the theory for multiple access channels. The application to different scenarios will be then considered, including the bandlimited additive white Gaussian noise channel with average power constraint and different models for the nonlinear satellite channel. The comparison with the adoption of frequency division multiplexing and with the Alamouti space-time block coding is also provided. The main conclusion is that a strategy based on overlapped signals is the most convenient in the case of no power unbalance, although it requires the adoption of a multiuser detection strategy at the receiver.

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Section: B Analysis For Two Transmittersmentioning

confidence: 78%

On the Use of Multiple Satellites to Improve the Spectral Efficiency of Broadcast Transmissions

Modenini

Ugolini

Piemontese

et al. 2015

IEEE Trans. on Broadcast.

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show abstract

“…a phase rotation, we do not add it to our model. with each of the two inputs satisfying constraints (12)- (15). In this scenario, we can express the joint IR I J = I(x 1 , x 2 ; y) as an extension of (18):…”

Section: B Analysis For Two Transmittersmentioning

confidence: 99%

On the use of multiple satellites to improve the spectral efficiency of broadcast transmissions

Ugolini

Piemontese

Modenini

et al. 2014

2014 7th Advanced Satellite Multimedia Systems Conference and the 13th Signal Processing for Space Communications Workshop (ASM

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Abstract-We consider the use of multiple co-located satellites to improve the spectral efficiency of broadcast transmissions. In particular, we assume that two satellites transmit on overlapping geographical coverage areas, with overlapping frequencies. We first describe the theoretical framework based on network information theory and, in particular, on the theory for multiple access channels. The application to different scenarios will be then considered, including the bandlimited additive white Gaussian noise channel with average power constraint and different models for the nonlinear satellite channel. The comparison with the adoption of frequency division multiplexing and with the Alamouti space-time block coding is also provided. The main conclusion is that a strategy based on overlapped signals is the most convenient in the case of no power unbalance, although it requires the adoption of a multiuser detection strategy at the receiver.

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“…In [10, Proposition 3], Verdú observed that if the output distributions p Y , p Y |X1 and p Y |X2 are all unimodal, which holds if amplitude constraints are sufficiently small, then the capacity region is the pentagon generated by independent equiprobable binary input distributions located at ±A 1 and ±A 2 . Recently, independent and concurrent work in [11] showed that the sum capacity of the Gaussian MAC is achieved by discrete distributions. Theorem 1 generalizes Smith's result for a single-user AWGN channel [5] to aa AWGN MAC, and the results in [10], [11] to the entire region.…”

Section: Gaussian Mac With Static Amplitude Constraintsmentioning

confidence: 99%

“…Recently, independent and concurrent work in [11] showed that the sum capacity of the Gaussian MAC is achieved by discrete distributions. Theorem 1 generalizes Smith's result for a single-user AWGN channel [5] to aa AWGN MAC, and the results in [10], [11] to the entire region.…”

Section: Gaussian Mac With Static Amplitude Constraintsmentioning

confidence: 99%

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On the capacity region of the Gaussian MAC with batteryless energy harvesting transmitters

Özel

Ulukuş

2012

2012 IEEE Global Communications Conference (GLOBECOM)

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Abstract-We consider the two-user additive Gaussian multiple access channel (MAC) where the transmitters communicate by using energy harvested from nature. Energy arrivals of the users are i.i.d. in time, and for any given time, they are distributed according to a joint distribution. Energy arrivals cause timevariations for the amplitude constraints of the users. We first consider the static amplitude constrained Gaussian MAC and prove that the boundary of the capacity region is achieved by discrete input distributions of finite support. When both of the transmitters are equipped with no battery, Shannon strategies applied by users provide an inner bound for the capacity region. We prove that the boundary of this inner bound is achieved by input distributions with support set of zero Lebesgue measure.

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On the sum-capacity of Gaussian MAC with peak constraint

Cited by 17 publications

References 13 publications

On the Use of Multiple Satellites to Improve the Spectral Efficiency of Broadcast Transmissions

On the Use of Multiple Satellites to Improve the Spectral Efficiency of Broadcast Transmissions

On the use of multiple satellites to improve the spectral efficiency of broadcast transmissions

On the capacity region of the Gaussian MAC with batteryless energy harvesting transmitters

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