نتایج جستجو برای: gaussian channel capacity

تعداد نتایج: 558628  

2003
Min Xie

In a relay channel, between the sender X and the the receiver Y lies at least one relay. Generally, the relay can both transmit its own information and help forwarding other sources’ information. This summary considers the latter case, i.e., the relay intends solely to help the receiver. The relay and the transmitter cooperate to resolve the receiver’s uncertainty. Due to the presence of relay,...

Journal: :IEEE Trans. Information Theory 2009
Xiaohu Shang Gerhard Kramer Biao Chen

A new outer bound on the capacity region of Gaussian interference channels is developed. The bound combines and improves existing genie-aided methods and is shown to give the sum-rate capacity for noisy interference as defined in this paper. Specifically, it is shown that if the channel coefficients and power constraints satisfy a simple condition then single-user detection at each receiver is ...

Journal: :CoRR 2017
Stefan M. Moser Ligong Wang Michele A. Wigger

This paper derives upper and lower bounds on the capacity of the multipleinput single-output free-space optical intensity channel with signal-independent additive Gaussian noise subject to both an average-intensity and a peak-intensity constraint. In the limit where the signal-to-noise ratio (SNR) tends to infinity, the asymptotic capacity is specified, while in the limit where the SNR tends to...

Journal: :EURASIP J. Adv. Sig. Proc. 2007
Obianuju Ndili Tokunbo Ogunfunmi

We develop a theoretical framework for achieving the maximum possible speed on constrained digital channels with a finite alphabet. A common inaccuracy that is made when computing the capacity of digital channels is to assume that the inputs and outputs of the channel are analog Gaussian random variables, and then based upon that assumption, invoke the Shannon capacity bound for an additive whi...

Journal: :CoRR 2017
Abhiram Gnanasambandam Ragini Chaluvadi Srikrishna Bhashyam

We obtain new sum capacity results for the Gaussian many-to-one and one-to-many interference channels in channel parameter regimes where the sum capacity was known only up to a constant gap. Simple HanKobayashi (HK) schemes, i.e., HK schemes with Gaussian signaling, no time-sharing, and no common-private power splitting, achieve sum capacity under the channel conditions for which the new result...

Journal: :IEEE Trans. Communications 1990
Irving Kalet Shlomo Shamai

Abstmct-The performance of a twisted-pair channel is assumed to be dominated by near-end crosstalk (NEXT) from other pairs in the same cable. Both, intrabuilding local and central office loop channels may be modeled as NEXT-dominated channels. In this paper, the capacity of this type of channel is found, using a Gaussian model. It is shown that, the capacity is independent of the transmitted po...

Journal: :CoRR 2009
Changho Suh David Tse

We characterize the symmetric capacity to within 1.7075 bits/s/Hz for the two-user Gaussian interference channel with feedback. The result makes use of a deterministic model to provide insights into the Gaussian channel. We derive a new outer bound to show that a proposed achievable scheme can achieve the symmetric capacity to within 1.7075 bits for all channel parameters. From this result, we ...

1998
G. David Forney

Shannon’s determination of the capacity of the linear Gaussian channel has posed a magnificent challenge to succeeding generations of researchers. This paper surveys how this challenge has been met during the past half century. Orthogonal minimumbandwidth modulation techniques and channel capacity are discussed. Binary coding techniques for low-signal-to-noise ratio (SNR) channels and nonbinary...

2011
Mohammad Osmani-Bojd Assadallah Sahebalam Ghosheh Abed Hodtani

In this paper, we derive a capacity region for Gaussian fading multiple access degraded relay channel with partial channel state information (CSI) at the transmitters (CSIT) and perfect CSI at the receiver (CSIR). The achievable rate region obtained by Kramer-Wijngaarden is a special case of our region. Keywords-Gaussian fading channel; channel state information (CSI); discrete multiple access ...

Journal: :CoRR 2006
Kenneth W. Shum Chi Wan Sung

The capacity region of a channel consists of all achievable rate vectors. Picking a particular point in the capacity region is synonymous with rate allocation. The issue of fairness in rate allocation is addressed in this paper. We review several notions of fairness, including max-min fairness, proportional fairness and Nash bargaining solution. Their efficiencies for general multiuser channels...

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