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Journal articles on the topic 'Channel capacity'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 June 2024

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1

MEDEIROS, REX A. C., and FRANCISCO M. DE ASSIS. "QUANTUM ZERO-ERROR CAPACITY." International Journal of Quantum Information 03, no. 01 (March 2005): 135–39. http://dx.doi.org/10.1142/s0219749905000682.

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We define a new kind of quantum channel capacity by extending the concept of zero-error capacity for a noisy quantum channel. The necessary requirement for which a quantum channel has zero-error capacity greater than zero is given. Finally, we point out some directions on how to calculate the zero-error capacity of such channels.

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2

Kianvash, Farzad, Marco Fanizza, and Vittorio Giovannetti. "Bounding the quantum capacity with flagged extensions." Quantum 6 (February 9, 2022): 647. http://dx.doi.org/10.22331/q-2022-02-09-647.

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In this article we consider flagged extensions of convex combination of quantum channels, and find general sufficient conditions for the degradability of the flagged extension. An immediate application is a bound on the quantum Q and private P capacities of any channel being a mixture of a unitary map and another channel, with the probability associated to the unitary component being larger than 1/2. We then specialize our sufficient conditions to flagged Pauli channels, obtaining a family of upper bounds on quantum and private capacities of Pauli channels. In particular, we establish new state-of-the-art upper bounds on the quantum and private capacities of the depolarizing channel, BB84 channel and generalized amplitude damping channel. Moreover, the flagged construction can be naturally applied to tensor powers of channels with less restricting degradability conditions, suggesting that better upper bounds could be found by considering a larger number of channel uses.

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3

He, Yifeng, and Ling Guan. "Improving Streaming Capacity in Multi-Channel P2P VoD Systems via Intra-Channel and Cross-Channel Resource Allocation." International Journal of Digital Multimedia Broadcasting 2012 (2012): 1–9. http://dx.doi.org/10.1155/2012/807520.

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Multi-channel Peer-to-Peer (P2P) Video-on-Demand (VoD) systems can be categorized intoindependent-channelP2P VoD systems andcorrelated-channelP2P VoD systems. Streaming capacity for a channel is defined as the maximal streaming rate that can be received by every user of the channel. In this paper, we study the streaming capacity problem in multi-channel P2P VoD systems. In an independent-channel P2P VoD system, there is no resource correlation among channels. Therefore, we can find the average streaming capacity for the independent-channel P2P VoD system by finding the streaming capacity for each individual channel, respectively. We propose a distributed algorithm to solve the streaming capacity problem for a single channel in an independent-channel P2P VoD system. The average streaming capacity for a correlated-channel P2P VoD system depends on both the intra-channel and cross-channel resource allocation. To better utilize the cross-channel resources, we first optimize the server upload allocation among channels to maximize the average streaming capacity and then propose cross-channel helpers to enable cross-channel sharing of peer upload bandwidths. We demonstrate in the simulations that the correlated-channel P2P VoD systems with both intra-channel and cross-channel resource allocation can obtain a higher average streaming capacity compared to the independent-channel P2P VoD systems with only intra-channel resource allocation.

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Ostroumov, O. A., and A. D. Sinyuk. "BROADCAST CHANNEL TRANSMISSION CAPACITY." Vestnik komp'iuternykh i informatsionnykh tekhnologii, no. 183 (September 2019): 33–42. http://dx.doi.org/10.14489/vkit.2019.09.pp.033-042.

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The most important studies of well-known Broadcast Communication Channels (BCC) models are associated with obtaining accurate information efficiency estimates(IE). Earlier, the coding problem was stated, the joint information measure (JI) of the proposed BCC model was introduced and investigated. Then the information capacity (IC) was introduced and the conditions for maximizing the average JI were defined, the uncertainty concept was defined, and an evidence-based adjustment of the Feinstein inequality for the channel model under study was made. In the present paper, the general information accurate estimate transmitted via the BCC by proving the fundamental coding theorems is obtained. On the basis of the previously obtained results, the inverse coding theorem for BCC was proved, which determines the condition for the code error average probability striving to one, which consists in choosing a code with a speed exceeding IE BCC. The Feinstein inequality role on the basis of which the direct coding theorem roof is carried out is determined. The theorem states that there are codes with a low error probability, provided that the code rate does not exceed the channel's IE. The coding theorems cumulative result proves that the IE and the throughput (BC) coincide. An accurate estimate of BC BCC is obtained. The results obtained do not contradict and extend the well-known IE studies of various BCC models and can be used by designers to assess the synthesized communication systems potential capabilities, including BCC channels. The purpose of further research is the gain estimate through IE channel transmission in comparison with the successive transmission through the component channels, which will outline the conditions for the preferred use of the BCC.

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5

DiVincenzo, David P., Peter W. Shor, and John A. Smolin. "Quantum-channel capacity of very noisy channels." Physical Review A 57, no. 2 (February 1, 1998): 830–39. http://dx.doi.org/10.1103/physreva.57.830.

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6

Pang, Arthur O. T., Noah Lupu-Gladstein, Hugo Ferretti, Y. Batuhan Yilmaz, Aharon Brodutch, and Aephraim M. Steinberg. "Experimental Communication Through Superposition of Quantum Channels." Quantum 7 (October 3, 2023): 1125. http://dx.doi.org/10.22331/q-2023-10-03-1125.

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Information capacity enhancement through the coherent control of channels has attracted much attention of late, with work exploring the effect of coherent control of channel causal orders, channel superpositions, and information encoding. Coherently controlling channels necessitates a non-trivial expansion of the channel description, which for superposing qubit channels, is equivalent to expanding the channel to act on qutrits. Here we explore the nature of this capacity enhancement for the superposition of channels by comparing the maximum coherent information through depolarizing qubit channels and relevant superposed and qutrit channels. We show that the expanded qutrit channel description in itself is sufficient to explain the capacity enhancement without any use of superposition.

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7

Huang, Da Zu, Zhi Gang Chen, Xin Li, and Ying Guo. "Quantum Polarization Codes for Capacity-Achieving in Discrete Memoryless Quantum Channel." Applied Mechanics and Materials 44-47 (December 2010): 2978–82. http://dx.doi.org/10.4028/www.scientific.net/amm.44-47.2978.

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Quantum channel combining and splitting, called quantum channel polarization, is suggested to design qubit sequences that achieve the symmetric capacity for any given discrete memoryless quantum channels. The polarized quantum channels can be well-conditioned for quantum channel codes, through which one need to send data at rate 1 by employing quantum channels with capacity near 1 and at rate 0 by employing the remaining quantum channels.

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8

WU, YU-CHUN, ZHENG-WEI ZHOU, and GUANG-CAN GUO. "THE HSW CHANNEL CAPACITY FOR THE DIAGONAL UNITAL QUDIT CHANNELS." International Journal of Quantum Information 02, no. 04 (December 2004): 489–93. http://dx.doi.org/10.1142/s021974990400047x.

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The Holevo–Schumacher–Westermoreland (HSW) channel capacity for the diagonal unital qudit channels is considered. In Phys. Rev.A69, 022302, the HSW channel capacity for the diagonal unital qudit channels Φ is given as χ(Φ)=1- min ρH(Φ(ρ)), where minimization is over the input states of the channel. In this paper, using the concavity of von Neumann entropy, we show that using only pure states we can work out its HSW channel capacity. Hence, our result simplifies the computation.

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9

Leung, Debbie, and John Watrous. "On the complementary quantum capacity of the depolarizing channel." Quantum 1 (September 19, 2017): 28. http://dx.doi.org/10.22331/q-2017-09-19-28.

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The qubit depolarizing channel with noise parameter η transmits an input qubit perfectly with probability 1−η, and outputs the completely mixed state with probability η. We show that its complementary channel has positive quantum capacity for all η>0. Thus, we find that there exists a single parameter family of channels having the peculiar property of having positive quantum capacity even when the outputs of these channels approach a fixed state independent of the input. Comparisons with other related channels, and implications on the difficulty of studying the quantum capacity of the depolarizing channel are discussed.

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10

Goldsmith, A. J., and P. P. Varaiya. "Capacity of fading channels with channel side information." IEEE Transactions on Information Theory 43, no. 6 (1997): 1986–92. http://dx.doi.org/10.1109/18.641562.

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11

Al-Janabi, Ahmed Mohammed Sami, Abdul Halim Ghazali, Badronnisa Yusuf, Saad Sh Sammen, Haitham Abdulmohsin Afan, Nadhir Al-Ansari, Shamsuddin Shahid, and Zaher Mundher Yaseen. "Optimizing Height and Spacing of Check Dam Systems for Better Grassed Channel Infiltration Capacity." Applied Sciences 10, no. 11 (May 28, 2020): 3725. http://dx.doi.org/10.3390/app10113725.

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The check dams in grassed stormwater channels enhance infiltration capacity by temporarily blocking water flow. However, the design properties of check dams, such as their height and spacing, have a significant influence on the flow regime in grassed stormwater channels and thus channel infiltration capacity. In this study, a mass-balance method was applied to a grassed channel model to investigate the effects of height and spacing of check dams on channel infiltration capacity. Moreover, an empirical infiltration model was derived by improving the modified Kostiakov model for reliable estimation of infiltration capacity of a grassed stormwater channel due to check dams from four hydraulic parameters of channels, namely, the water level, channel base width, channel side slope, and flow velocity. The result revealed that channel infiltration was increased from 12% to 20% with the increase of check dam height from 10 to 20 cm. However, the infiltration was found to decrease from 20% to 19% when a 20 cm height check dam spacing was increased from 10 to 30 m. These results indicate the effectiveness of increasing height of check dams for maximizing the infiltration capacity of grassed stormwater channels and reduction of runoff volume.

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12

Мартинчук, О. О., Г. М. Зубрицький, Лі Сюань, and О. О. Мартинчук. "Some limitations of evaluating dual-polarized MIMO channel capacity." Системи обробки інформації, no. 2(161), (June 15, 2020): 16–21. http://dx.doi.org/10.30748/soi.2020.161.02.

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This article discusses possible bandwidth limitations of a radio access channel using MIMO technology with polarization-orthogonal channels, or dual polarization channels. The main attention is paid to the presence of cross-polarization isolation between channels, or cross-polarization relation, or Cross Polar Discrimination. The indicated ratio is determined mainly by the design features of the antennas. It is proposed to choose antennas with the minimum required values of cross-polarization ratio, which limit a given channel bandwidth.

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13

Li, Ying, Yi Jun Zhu, Lan Ma, and Yao Zhu. "On the Capacity of MIMO Channels with Outdated Channel State Information." Advanced Materials Research 204-210 (February 2011): 2053–56. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.2053.

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A Multiple-input multiple-output (MIMO) time-varying flat fading channel is considered. The transmitter obtained the channel state information (CSI) relying on the reciprocity principle or by the feedback from the receiver. Thus, channel state information at the transmitter (CSIT) is outdated due to the delay between the estimation of the channel and the transmission of the data. In order to achieve the maximum channel capacity, the transmitter linearly precoded the signal before transmission based on the outdated CSIT. Under the assumptions of wide-sense stationary uncorrelated scattering Rayleigh fading channels and Jake’s model, the instantaneous mutual information and ergodic capacity is derived for MIMO channels with outdated CSIT. The information outage probability of MIMO channel with outdated CSIT is also presented.

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14

Yang, Min, Haojie Zhang, Xiaoping Li, Qianqian Sun, and Jiancheng Tang. "The PSK Channel Capacity Estimation under Dynamic Plasma Sheath Channel." International Journal of Antennas and Propagation 2020 (April 9, 2020): 1–9. http://dx.doi.org/10.1155/2020/3652429.

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During the reentry process, the plasma sheath covering the surface of the hypersonic aircraft will cause the amplitude attenuation and phase jitter of the communication electromagnetic waves. Channel parameters such as the electron density and collision frequency of the plasma sheath reflect the changing trend of the plasma sheath, and these parameters can be measured by physical means. However, these parameters cannot directly reflect the change of the channel communication ability and cannot directly serve the design of communication methods in the plasma sheath. Due to the particularity of the plasma sheath, the traditional channel estimation method for Additive White Gaussian Noise channels will no longer be applicable. This paper presents a channel capacity estimation method for dynamic plasma sheath. First, the plasma sheath is equivalent to a discrete input continuous output memoryless channel, and then the channel capacity expression is derived according to Shannon formula. Finally, the channel capacity of the dynamic plasma sheath is estimated by calculating the transition probability density function. The simulation results show that the channel capacity of the dynamic plasma sheath is affected by both the signal-to-noise ratio (SNR) and the dynamic parameters of the plasma sheath. When the electron density is small, the channel capacity is mainly affected by the SNR. As the electron density increases, the dynamic parameters of the plasma sheath gradually become the main factor affecting the channel capacity. This method is a theoretical analysis of the channel capacity when the channel parameters of the plasma channel are known, and it is meaningful for conducting the work of communication methods design.

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15

Ouyang, Yingkai. "Channel covariance, twirling, contraction and some upper bounds on the quantum capacity." Quantum Information and Computation 14, no. 11&12 (September 2014): 917–36. http://dx.doi.org/10.26421/qic14.11-12-2.

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Evaluating the quantum capacity of quantum channels is an important but difficult problem, even for channels of low input and output dimension. Smith and Smolin showed that the quantum capacity of the Clifford-twirl of a qubit amplitude damping channel (a qubit depolarizing channel) has a quantum capacity that is at most the coherent information of the qubit amplitude damping channel evaluated on the maximally mixed input state. We restrict our attention to obtaining upper bounds on the quantum capacity using a generalization of Smith and Smolin's degradable extension technique. Given a degradable channel $\cN$ and a finite projective group of unitaries $\cV$, we show that the $\cV$-twirl of $\cN$ has a quantum capacity at most the coherent information of $\cN$ maximized over a $\cV$-contracted space of input states. As a consequence, degradable channels that are covariant with respect to diagonal Pauli matrices have quantum capacities that are their coherent information maximized over just the diagonal input states. As an application of our main result, we supply new upper bounds on the quantum capacity of some unital and non-unital channels -- $d$-dimensional depolarizing channels, two-qubit locally symmetric Pauli channels, and shifted qubit depolarizing channels.

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16

Chaaban, A., and S. Hranilovic. "Capacity of optical wireless communication channels." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2169 (March 2, 2020): 20190184. http://dx.doi.org/10.1098/rsta.2019.0184.

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Optical wireless communications are realized by modulating the intensity of a light source and detecting intensity fluctuations at the receiver. This mode of operation, known as intensity modulation and direct detection (IM/DD), is simple to implement in practice. However, computing the channel capacity of the underlying channel is not straightforward because of the amplitude constraints that arise due to IM/DD operation. In particular, the transmit signal must be non-negative, while the peak and average amplitudes are constrained due to practical and safety considerations. Though a closed form for the capacity of IM/DD channels is not known, much work has been done to find capacity bounds and asymptotic capacity expressions. In this paper, a description of the IM/DD channel and its physical constraints is presented, followed by a review of recent progress pertaining to the capacity of IM/DD channels. Additionally, capacity-achieving distributions are discussed along with simple constructions that approach capacity. This article is part of the theme issue ‘Optical wireless communication’.

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17

Costello, Daniel J., and G. David Forney. "Channel coding: The road to channel capacity." Proceedings of the IEEE 95, no. 6 (June 2007): 1150–77. http://dx.doi.org/10.1109/jproc.2007.895188.

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18

Zhong, Changchun, Changhun Oh, and Liang Jiang. "Information transmission with continuous variable quantum erasure channels." Quantum 7 (March 6, 2023): 939. http://dx.doi.org/10.22331/q-2023-03-06-939.

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Quantum capacity, as the key figure of merit for a given quantum channel, upper bounds the channel's ability in transmitting quantum information. Identifying different types of channels, evaluating the corresponding quantum capacity, and finding the capacity-approaching coding scheme are the major tasks in quantum communication theory. Quantum channel in discrete variables has been discussed enormously based on various error models, while error model in the continuous variable channel has been less studied due to the infinite dimensional problem. In this paper, we investigate a general continuous variable quantum erasure channel. By defining an effective subspace of the continuous variable system, we find a continuous variable random coding model. We then derive the quantum capacity of the continuous variable erasure channel in the framework of decoupling theory. The discussion in this paper fills the gap of a quantum erasure channel in continuous variable setting and sheds light on the understanding of other types of continuous variable quantum channels.

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19

Giovannetti, V., S. Guha, S. Lloyd, L. Maccone, J. H. Shapiro, B. J. Yen, and H. P. Yuen. "Classical capacity of free-space optical communication." Quantum Information and Computation 4, no. 6&7 (December 2004): 489–99. http://dx.doi.org/10.26421/qic4.6-7-8.

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20

Pinsker, M. S., V. V. Prelov, and S. Verdu. "Sensitivity of channel capacity." IEEE Transactions on Information Theory 41, no. 6 (1995): 1877–88. http://dx.doi.org/10.1109/18.476313.

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21

Wang, Jia, Ercan Engin Kuruoglu, and Tao Zhou. "Alpha-Stable Channel Capacity." IEEE Communications Letters 15, no. 10 (October 2011): 1107–9. http://dx.doi.org/10.1109/lcomm.2011.081011.110813.

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22

Faruque, Saleh. "Cellular control-channel capacity." Canadian Journal of Electrical and Computer Engineering 19, no. 1 (January 1994): 13–15. http://dx.doi.org/10.1109/cjece.1994.6592517.

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23

Verdu, Sergio, and Shlomo Shamai. "Variable-Rate Channel Capacity." IEEE Transactions on Information Theory 56, no. 6 (June 2010): 2651–67. http://dx.doi.org/10.1109/tit.2010.2046220.

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24

Denisov, V. E. "Hydroacoustic communication channel capacity." Russian Technological Journal 11, no. 1 (February 2, 2023): 31–40. http://dx.doi.org/10.32362/2500-316x-2023-11-1-31-40.

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25

Qiu, Qijun, Ying-Ju Chen, and Benjamin P. C. Yen. "The Implications of Group-Buying as a Channel Option Under Capacity Constraint." Asia-Pacific Journal of Operational Research 35, no. 04 (August 2018): 1850022. http://dx.doi.org/10.1142/s0217595918500227.

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We investigate a setting in which two retailers sell substitutable products to a market. With the rise of group-buying (GB) consumers, each retailer has the option to open a GB channel to cater to their demand and complement its regular sales. We find that the retailers will forfeit this option to only sell in regular channels when they have scarce capacities, but both open GB channels when they have ample capacities. The situation is more intricate when their capacity levels are intermediate, in which case the equilibrium channel structure is influenced by the substitution effect and the consumers’ channel preference. A higher capacity level does not necessarily incentivize a retailer to open group-buying channel. When given the authority, the retailers under strong competition pressure prefer to commit to regular prices over tailoring regular prices to fit the channel structure. Circumstances exist in which both retailers strategically open GB channels but keep them inactive by inducing all consumers to only buy from regular channels. Moreover, the sequence whereby the retailers follow to set regular prices and decide on GB channels is inconsequential on market equilibrium. Our main findings are robust with respect to model assumptions.

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26

Sari, Liana Mustika, Emil Azmanajaya, and Ezra Hartarto Pongtuluran. "The Analysis of Drainage Capacity of Balikpapan City." Nusantara Civil Engineering Journal 1, no. 1 (February 25, 2022): 34–46. http://dx.doi.org/10.32487/nuce.v1i1.386.

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Jalan Sungai Ampal in front of the fresh market of Balikpapan Baru often inundation occurs when it rains. This is due to several factors, one of which is rainwater passing through the drainage channel that exceeds the storage capacity so that the water overflows which causes puddles in the surrounding area. In order for the handling to be carried out effectively, a thorough analysis of the drainage system is needed which will then be used as the basis for determining the handling of inundation. Data analysis in this research uses SWMM 5.1 application. Starting from knowing the cause of inundation to planning the ideal drainage channel capacity. This analysis is also assisted by the google earth application to see thearea subcatchmen, slope and soil elevation at the research site. Simulation of the ideal planned drainage channel capacity is carried out using the trial error method on the SWMM 5.1 application. From this method, the ideal design channel capacity is 1 m. On channel 1 can accommodate 0.574 m3/ sec with a maximum flow of 1.58 m / s and the channel capacity by 60%. On channel 2 can accommodate 0.792 m3/ sec with a maximum flow of 1.15 m / s and the channel capacity by 82%. On channel 3 can accommodate 1.418 m3/ sec with a maximum flow of 2.27 m / s and the channel capacity by 74%. No problem channels were found after re-simulation using the design channel dimensions, so the design diameter of 1 m is considered safe.

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27

Al-qudah, Zouhair. "Gaussian MIMO relay channel with orthogonal channel components." Journal of Electrical Engineering 71, no. 3 (June 1, 2020): 222–26. http://dx.doi.org/10.2478/jee-2020-0030.

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AbstractThe Gaussian multiple-input multiple-output (MIMO) orthogonal relay channel (ORC) is investigated. The transmission from source to relay is done over a channel that is orthogonal to source-destination and relay-destination channels. Practically, this assumption is made such that many communication devices from different technologies are exploited in relaying the source’s signal into its destination. For this channel model, the capacity is initially derived. Thereafter, we propose a transmission algorithm to achieve the derived capacity. Further, to support our theoretical results, many numerical examples are presented.

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28

Biradar, Shilpa, J. Shiny Duela, P. Ramya, Flory Francis, Tarun Singhal, Ankur Singhal, Ranjan Mishra, R. Govindaraj, and Amare Kebede Asfaw. "Improved Channel Capacity in 5G Ultradense Network." Wireless Communications and Mobile Computing 2022 (June 25, 2022): 1–9. http://dx.doi.org/10.1155/2022/7948395.

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In general, it is necessary to evaluate the required bandwidth in each segment of the 5G ultradense network. After doing so, it is necessary to decide on the choice of OSI network and connection layer technologies. The most suitable models of network equipment are determined according to the technologies so selected. This question is not easy because performance depends directly on the performance of the hardware and also on the performance, software, and hardware configuration. These channel capabilities are the criteria for evaluating the performance of channels and equipment on 5G networks. In this paper, a model is proposed to increase the channel capacity of the 5G ultradense network. It is designed to increase the bandwidth usage of the channel and increase its functionality. Its main special feature is that its energy and power consumption is very low compared to other methods. This method is also ideal for sending more data with less power.

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29

Al-Rubaye, Ghanim A., Haider TH Salim ALRikabi, and Hussein Tuama Hazim. "Optimization of capacity in non-Gaussian noise models with and without fading channels for sustainable communication systems." Heritage and Sustainable Development 5, no. 2 (September 10, 2023): 239–52. http://dx.doi.org/10.37868/hsd.v5i2.243.

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The highest rate at which information may be reliably sent via a communication link is known as its capacity. In the case of non-Gaussian noise, the capacity of the channel depends on the specific characteristics of the noise, which can cause severe errors and reduce the reliability of communication systems over a fading channel. The Gaussian mixture impulsive noise model (GMINM), which is a more general and flexible non-Gaussian model for impulsive noise, has been compared in this paper with the Middleton Class-A impulsive noise model (MCAINM) in terms of derived channel capacity normalized by channel bandwidth (C/BW) with and without Rayleigh fading (Rf) channels. It also investigated the trade-off between complexity and accuracy in modeling the impulsive noise using two simplified Middleton Class-A impulsive noise models based on derived C/BW. The derived C/BW of these models under various conditions, such as different signal-to-noise ratios and impulsive noise parameters and models, have been performed and evaluated using two different scenarios: the exact method and the semi-analytical method. When the impulsive noise parameters and A are both near 0 in GMINM and MCAINM, respectively, the capacity of the impulsive noise channel is found to be equivalent to that of the Gaussian channel sustainable, as shown by the findings based on Monte-Carlo simulations. We have shown that when the impulsive noise decreases, the capacity increases in all models; however, the capacity of Gaussian noise is higher than the capacity of non-Gaussian noise, which in turn is higher than the capacity of non-Gaussian noise over the Rf channel overall values of SNR in dB. Moreover, multi-channel configuration introduces spatial diversity and multiplexing gains that have been proposed to sustainably optimize the ergodic capacity for the challenge case when the channel state information (CSI) is unknown at the transmitter in non-Gaussian noise over Rf channel. In today's rapidly evolving world, sustainable communication systems play a crucial role in ensuring efficient and responsible utilization of resources. As the demand for wireless communication continues to rise, it becomes imperative to optimize the capacity of communication channels, especially in scenarios involving non-Gaussian noise models and fading channels.

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Kobayashi, Daisuke, Hirosuke Yamamoto, and Tomohiro Ogawa. "Secure Multiplex Coding Attaining Channel Capacity in Wiretap Channels." IEEE Transactions on Information Theory 59, no. 12 (December 2013): 8131–43. http://dx.doi.org/10.1109/tit.2013.2282673.

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31

LIU, X. "Capacity of Fading Channels with Quantized Channel Side Information." IEICE Transactions on Communications E89-B, no. 2 (February 1, 2006): 590–93. http://dx.doi.org/10.1093/ietcom/e89-b.2.590.

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Wu, Dapeng, and R. Negi. "Effective capacity channel model for frequency-selective fading channels." Wireless Networks 13, no. 3 (July 3, 2006): 299–310. http://dx.doi.org/10.1007/s11276-006-7526-x.

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33

Lampe, L. H. J., R. F. H. Fischer, and S. Calabró. "Channel capacity of fading channels for differentially encoded transmission." Electronics Letters 35, no. 3 (1999): 192. http://dx.doi.org/10.1049/el:19990152.

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34

Hariharan, Gautham, Vasanthan Raghavan, and Akbar M. Sayeed. "Capacity of sparse wideband channels with partial channel feedback." European Transactions on Telecommunications 19, no. 4 (2008): 475–93. http://dx.doi.org/10.1002/ett.1282.

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35

O.T. Ikotun and Dewi Sartika. "Evaluation of Drainage Channels on Residential Area." INTERNATIONAL JOURNAL ENGINEERING AND APPLIED TECHNOLOGY (IJEAT) 2, no. 1 (June 25, 2022): 38–49. http://dx.doi.org/10.52005/ijeat.v2i1.16.

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The incompatibility of construction of urban or residential drainage channels with design criteria is often found due to difficulties in designing drainage channels. designers often make design mistakes when designing drainage channels. This study aims to evaluate the drainage system and designs a drainage channel that can collect runoff discharge on Residential Area. The results of flood discharge obtained using the Gumbel method for the 10 and 25 year return periods are 298.78 mm and 370.38 mm. From the calculation of the channel capacity in the field and the discharge plan most of the existing channel capacity cannot accommodate the current planned discharge of 2.261 m3s-1 for the primary channel and 1.824 m3s-1 for the secondary channel. The current channel cannot accept runoff discharge during rain, so the channel rehabilitation plan is carried out by expanding and extracting the dimensions of the drainage channel.

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36

Wiklundh, K. C., P. F. Stenumgaard, and H. M. Tullberg. "Channel capacity of Middleton's class A interference channel." Electronics Letters 45, no. 24 (2009): 1227. http://dx.doi.org/10.1049/el.2009.9882.

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37

Karpov, E., D. Daems, and N. J. Cerf. "Entanglement May Enhance Channel Capacity in Arbitrary Dimensions." Open Systems & Information Dynamics 13, no. 04 (December 2006): 363–72. http://dx.doi.org/10.1007/s11080-006-9018-y.

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We consider explicitly two examples of d-dimensional quantum channels with correlated noise and show that, in agreement with previous results on Pauli qubit channels, there are situations where maximally entangled input states achieve higher values of the output mutual information than product states. We obtain a strong dependence of this effect on the nature of the noise correlations as well as on the parity of the space dimension, and conjecture that when entanglement gives an advantage in terms of mutual information, maximally entangled states achieve the channel capacity.

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Dytso, Alex, Mario Goldenbaum, H. Poor, and Shlomo Shamai (Shitz). "Amplitude Constrained MIMO Channels: Properties of Optimal Input Distributions and Bounds on the Capacity." Entropy 21, no. 2 (February 19, 2019): 200. http://dx.doi.org/10.3390/e21020200.

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In this work, the capacity of multiple-input multiple-output channels that are subject to constraints on the support of the input is studied. The paper consists of two parts. The first part focuses on the general structure of capacity-achieving input distributions. Known results are surveyed and several new results are provided. With regard to the latter, it is shown that the support of a capacity-achieving input distribution is a small set in both a topological and a measure theoretical sense. Moreover, explicit conditions on the channel input space and the channel matrix are found such that the support of a capacity-achieving input distribution is concentrated on the boundary of the input space only. The second part of this paper surveys known bounds on the capacity and provides several novel upper and lower bounds for channels with arbitrary constraints on the support of the channel input symbols. As an immediate practical application, the special case of multiple-input multiple-output channels with amplitude constraints is considered. The bounds are shown to be within a constant gap to the capacity if the channel matrix is invertible and are tight in the high amplitude regime for arbitrary channel matrices. Moreover, in the regime of high amplitudes, it is shown that the capacity scales linearly with the minimum between the number of transmit and receive antennas, similar to the case of average power-constrained inputs.

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BELAVKIN, V. P., and X. DAI. "AN OPERATIONAL ALGEBRAIC APPROACH TO QUANTUM CHANNEL CAPACITY." International Journal of Quantum Information 06, no. 05 (October 2008): 981–96. http://dx.doi.org/10.1142/s0219749908004225.

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An elementary introduction into algebraic approach to unified quantum information theory and operational approach to quantum entanglement as generalized encoding is given. After introducing compound quantum state and two types of informational divergences, namely, Araki–Umegaki (a-type) and of Belavkin–Staszewski (b-type) quantum relative entropic information, this paper treats two types of quantum mutual information via entanglement and defines two types of corresponding quantum channel capacities as the supremum via the generalized encodings. It proves the additivity property of quantum channel capacities via entanglement, which extends the earlier results of Belavkin to products of arbitrary quantum channels for quantum relative entropy of any type.

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Wang, Ji Hong, Wen Xiao Shi, Ke Qiang Cui, and Feng Jin. "Partially Overlapped Channel Assignment Using Discrete Particle Swarm Optimization." Applied Mechanics and Materials 614 (September 2014): 550–53. http://dx.doi.org/10.4028/www.scientific.net/amm.614.550.

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Wireless mesh networks are multi-hop wireless networks whose capacity decreases very fast due to interference from parallel transmissions on the same channel when using orthogonal channels. In order to further eliminate network interference and improve network capacity, partially overlapped channels are used to perform channel assignment, and a discrete particle swarm optimization (DPSO) based channel assignment algorithm using partially overlapped channels is proposed in this paper. Channel assignment for all links is mapped to position of particle, and DPSO is used to evolve and produce better channel assignment solutions. Simulation results show that network performances can be dramatically improved by properly utilizing partially overlapped channels, for example, the average end-to-end delay and the average packet loss ratio both can be decreased by at least 15 percent, and the network throughput can be improved by 12 percent or more.

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Arqand, Amir, Laleh Memarzadeh, and Stefano Mancini. "Energy-Constrained LOCC-Assisted Quantum Capacity of the Bosonic Dephasing Channel." Entropy 25, no. 7 (June 29, 2023): 1001. http://dx.doi.org/10.3390/e25071001.

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We study the LOCC-assisted quantum capacity of a bosonic dephasing channel with energy constraint on the input states. We start our analysis by focusing on the energy-constrained squashed entanglement of the channel, which is an upper bound for the energy-constrained LOCC-assisted quantum capacity. As computing energy-constrained squashed entanglement of the channel is challenging due to a double optimization (over the set of density matrices and the isometric extensions of a squashing channel), we first derive an upper bound for it, and then, we discuss how tight that bound is for the energy-constrained LOCC-assisted quantum capacity of the bosonic dephasing channel. In doling so, we prove that the optimal input state is diagonal in the Fock basis. Then, we analyze two explicit examples of squashing channels through which we derive explicit upper and lower bounds for the energy-constrained LOCC-assisted quantum capacity of the bosonic dephasing channel in terms of its quantum capacity with different noise parameters. As the difference between upper and lower bounds becomes smaller by increasing the dephasing parameter, the bounds become tighter.

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42

Mulherkar, Jaideep. "Classical and entanglement-assisted capacity of a qubit depolarizing memory channel." International Journal of Quantum Information 14, no. 03 (April 2016): 1650017. http://dx.doi.org/10.1142/s0219749916500179.

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We study the classical and entanglement-assisted capacity of a forgetful quantum memory channel that randomly switches between two qubit depolarizing channels. We show that when the input consists of two qubits then depending on channel parameters either the maximally entangled input states or product input states achieve the two-use classical capacity. We conjecture that as the number of input qubits is increased the classical capacity approaches the product state capacity for all values of the parameters. We also derive an expression for the entanglement-assisted classical capacity of this quantum memory channel in terms of the entropy rate of a Markov chain.

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43

Kramer, Gerhard. "Information Rates for Channels with Fading, Side Information and Adaptive Codewords." Entropy 25, no. 5 (April 27, 2023): 728. http://dx.doi.org/10.3390/e25050728.

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Generalized mutual information (GMI) is used to compute achievable rates for fading channels with various types of channel state information at the transmitter (CSIT) and receiver (CSIR). The GMI is based on variations of auxiliary channel models with additive white Gaussian noise (AWGN) and circularly-symmetric complex Gaussian inputs. One variation uses reverse channel models with minimum mean square error (MMSE) estimates that give the largest rates but are challenging to optimize. A second variation uses forward channel models with linear MMSE estimates that are easier to optimize. Both model classes are applied to channels where the receiver is unaware of the CSIT and for which adaptive codewords achieve capacity. The forward model inputs are chosen as linear functions of the adaptive codeword’s entries to simplify the analysis. For scalar channels, the maximum GMI is then achieved by a conventional codebook, where the amplitude and phase of each channel symbol are modified based on the CSIT. The GMI increases by partitioning the channel output alphabet and using a different auxiliary model for each partition subset. The partitioning also helps to determine the capacity scaling at high and low signal-to-noise ratios. A class of power control policies is described for partial CSIR, including a MMSE policy for full CSIT. Several examples of fading channels with AWGN illustrate the theory, focusing on on-off fading and Rayleigh fading. The capacity results generalize to block fading channels with in-block feedback, including capacity expressions in terms of mutual and directed information.

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Kyritsi, P., R. A. Valenzuela, and D. C. Cox. "Channel and capacity estimation errors." IEEE Communications Letters 6, no. 12 (December 2002): 517–19. http://dx.doi.org/10.1109/lcomm.2002.806446.

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ADACHI, K., F. ADACHI, and M. NAKAGAWA. "On Cellular MIMO Channel Capacity." IEICE Transactions on Communications E91-B, no. 7 (July 1, 2008): 2366–73. http://dx.doi.org/10.1093/ietcom/e91-b.7.2366.

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46

Low, S. H., and N. F. Maxemchuk. "Capacity of text marking channel." IEEE Signal Processing Letters 7, no. 12 (December 2000): 345–47. http://dx.doi.org/10.1109/97.883364.

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Ohya, Masanori. "On capacity of quantum channel." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 84, no. 4 (2000): 69–75. http://dx.doi.org/10.1002/1520-6440(200104)84:4<69::aid-ecjc8>3.0.co;2-j.

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Maltiyar, Kaveri, and Deepti Malviya. "Polar Code: An Advanced Encoding And Decoding Architecture For Next Generation 5G Applications." International Journal on Recent and Innovation Trends in Computing and Communication 7, no. 5 (June 4, 2019): 26–29. http://dx.doi.org/10.17762/ijritcc.v7i5.5307.

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Polar Codes become a new channel coding, which will be common to apply for next-generation wireless communication systems. Polar codes, introduced by Arikan, achieves the capacity of symmetric channels with “low encoding and decoding complexity” for a large class of underlying channels. Recently, polar code has become the most favorable error correcting code in the viewpoint of information theory due to its property of channel achieving capacity. Polar code achieves the capacity of the class of symmetric binary memory less channels. In this paper review of polar code, an advanced encoding and decoding architecture for next generation applications.

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Yan, Qingze, Yun Zhu, and Yixin Zhang. "Capacity of the Weakly Absorbent Turbulent Ocean Channel with the Coaxial Double-Position Power Gaussian Vortex." Journal of Marine Science and Engineering 9, no. 10 (October 14, 2021): 1117. http://dx.doi.org/10.3390/jmse9101117.

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Turbulence and absorption of seawater are two important factors affecting the signal transmission quality of underwater optical communication link. Here, we study the channel capacity and bit error rate of an underwater extinction communication link with a coaxial double-position power Gaussian vortex carrier based on Rytov approximation theory. The study finds that channel capacity and bit error rate are the nonlinear functions of the dimensionless structural parameter and reach maximum and minimum values at |α| = 1, respectively. The seawater absorption has a great influence on the channel capacity but not bit error rate. The communication link with large receiving aperture, small transmitting beam diameter, long wavelength of light source in a seawater window, and more OAM channels has high channel capacity.

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50

Yan, Qingze, Yun Zhu, and Yixin Zhang. "Capacity of the Weakly Absorbent Turbulent Ocean Channel with the Coaxial Double-Position Power Gaussian Vortex." Journal of Marine Science and Engineering 9, no. 10 (October 14, 2021): 1117. http://dx.doi.org/10.3390/jmse9101117.

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Turbulence and absorption of seawater are two important factors affecting the signal transmission quality of underwater optical communication link. Here, we study the channel capacity and bit error rate of an underwater extinction communication link with a coaxial double-position power Gaussian vortex carrier based on Rytov approximation theory. The study finds that channel capacity and bit error rate are the nonlinear functions of the dimensionless structural parameter and reach maximum and minimum values at |α| = 1, respectively. The seawater absorption has a great influence on the channel capacity but not bit error rate. The communication link with large receiving aperture, small transmitting beam diameter, long wavelength of light source in a seawater window, and more OAM channels has high channel capacity.

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