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The sum capacity of a class of discrete memoryless interference channels is determined. This class of channels is defined analogous to the Gaussian Z-interference channel with weak interference; as a result, the sum capacity is achieved by…

信息论 · 计算机科学 2012-07-16 Fangfang Zhu , Biao Chen

The capacity of a network in which a multiple access channel (MAC) generates interference to a single-user channel is studied. An achievable rate region based on superposition coding and joint decoding is established for the discrete case.…

信息论 · 计算机科学 2012-09-06 Fangfang Zhu , Xiaohu Shang , Biao Chen , H. Vincent Poor

The sum-rate capacity of the parallel Gaussian interference channel is shown to be achieved by independent transmission across sub-channels and treating interference as noise in each sub-channel if the channel coefficients and power…

信息论 · 计算机科学 2009-03-04 Xiaohu Shang , Biao Chen , Gerhard Kramer , H. Vincent Poor

A class of cognitive interference channel with state is investigated, in which two transmitters (transmitters 1 and 2) communicate with two receivers (receivers 1 and 2) over an interference channel. The two transmitters jointly transmit a…

信息论 · 计算机科学 2012-07-10 Ruchen Duan Yingbin Liang

This paper derives an outer bound on the capacity region of a general memoryless interference channel with an arbitrary number of users. The derivation follows from a generalization of the techniques developed by Kramer and by Etkin et al…

信息论 · 计算机科学 2016-11-17 Daniela Tuninetti

In this paper the cognitive interference channel with a common message, a variation of the classical cognitive interference channel in which the cognitive message is decoded at both receivers, is studied. For this channel model new outer…

信息论 · 计算机科学 2012-08-21 Stefano Rini , Carolin Huppert

The capacity region of the interference channel in which one transmitter non-causally knows the message of the other, termed the cognitive interference channel, has remained open since its inception in 2005. A number of subtly differing…

信息论 · 计算机科学 2015-03-13 Stefano Rini , Daniela Tuninetti , Natasha Devroye

In this paper, a class of broadcast interference channels (BIC) is investigated, where one of the two broadcast receivers is subject to interference coming from a point-to-point transmission. For a general discrete memoryless broadcast…

信息论 · 计算机科学 2015-08-04 Yuanpeng Liu , Elza Erkip

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…

信息论 · 计算机科学 2016-11-18 Xiaohu Shang , Gerhard Kramer , Biao Chen

New upper bounds on the sum capacity of the two-user Gaussian interference channel are derived. Using these bounds, it is shown that treating interference as noise achieves the sum capacity if the interference levels are below certain…

信息论 · 计算机科学 2008-01-04 V. Sreekanth Annapureddy , Venugopal V. Veeravalli

Recent outer bounds on the capacity region of Gaussian interference channels are generalized to $m$-user channels with $m>2$ and asymmetric powers and crosstalk coefficients. The bounds are again shown to give the sum-rate capacity for…

信息论 · 计算机科学 2008-01-16 Xiaohu Shang , Gerhard Kramer , Biao Chen

The cognitive interference channel is an interference channel in which one transmitter is non-causally provided with the message of the other transmitter. This channel model has been extensively studied in the past years and capacity…

信息论 · 计算机科学 2010-03-24 Stefano Rini , Daniela Tuninetti , Natasha Devroye

We study information-theoretic security for discrete memoryless interference and broadcast channels with independent confidential messages sent to two receivers. Confidential messages are transmitted to their respective receivers with…

信息论 · 计算机科学 2016-11-15 Ruoheng Liu , Ivana Maric , Predrag Spasojevic , Roy D. Yates

One of the key open problems in network information theory is to obtain the capacity region for the two-user Interference Channel (IC). In this paper, new results are derived for this channel. As a first result, a noisy interference regime…

信息论 · 计算机科学 2013-02-08 Reza K. Farsani

We study a special class of the cognitive radio channel in which the receiver of the cognitive pair does not suffer interference from the primary user. Previously developed general encoding schemes for this channel are complex as they…

信息论 · 计算机科学 2010-09-22 Jinhua Jiang , Ivana Maric , Andrea Goldsmith , Shlomo Shamai , Shuguang Cui

The cognitive interference channel models cognitive overlay radio systems, where cognitive radios overhear the transmission of neighboring nodes. Capacity for this channel is not known in general. For the Gaussian case capacity is known in…

信息论 · 计算机科学 2012-04-11 Stefano Rini , Ernest Kurniawan , Andrea Goldsmith

A two-user discrete memoryless compound multiple access channel with a common message and conferencing decoders is considered. The capacity region is characterized in the special cases of physically degraded channels and unidirectional…

信息论 · 计算机科学 2016-11-18 O. Simeone , D. Gunduz , H. V. Poor , A. Goldsmith , S. Shamai

The capacity regions of vector, or multiple-input multiple-output, Gaussian interference channels are established for very strong interference and aligned strong interference. Furthermore, the sum-rate capacities are established for Z…

信息论 · 计算机科学 2016-11-17 Xiaohu Shang , Biao Chen , Gerhard Kramer , H. Vincent Poor

The capacity regions of multiple-input multiple-output Gaussian Z-interference channels are established for the very strong interference and aligned strong interference cases. The sum-rate capacity of such channels is established under…

信息论 · 计算机科学 2009-11-25 Xiaohu Shang , Biao Chen , Gerhard Kramer , H. Vincent Poor

The capacity of the Gaussian cognitive interference channel, a variation of the classical two-user interference channel where one of the transmitters (referred to as cognitive) has knowledge of both messages, is known in several parameter…

信息论 · 计算机科学 2016-11-17 Stefano Rini , Daniela Tuninetti , Natasha Devroye
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