scispace - formally typeset
Search or ask a question

Which is least expensive communication channel? 

Channel capacity
Channel state information
Communication channel
MIMO
Wireless

Answers from top 9 papers

More filters
Papers (9)Insight
Journal Article•DOI
Evaluation of mass pulse immunization with oral polio vaccine in Delhi: is pre-registration of children necessary?
Shibani Bandyopadhyay, Kaushik Banerjee, K. K. Datta, Stephen J. Atwood, C. M. Langmire, Jon Kim Andrus 
01 Mar 1996-Indian Journal of Pediatrics
16 Citations
Other less expensive channels of communication appeared to be equally effective.
Proceedings Article•DOI
Distributed channel assignment protocols: a cross-layer approach [wireless ad hoc networks]
M.X. Gong, S.F. Midkiff 
13 Mar 2005
56 Citations
Because the proposed protocols combine channel assignment with routing, they exhibit significantly lower communication, computation, and storage complexity than existing channel assignment schemes.
Proceedings Article•DOI
Next generation ALE concepts
William N. Furman, Eric Koski 
28 Apr 2009
18 Citations
In other cases the selected channel may simply be good enough to establish communication at some minimum level of service.
Proceedings Article•DOI
Error exponents for Orthogonal STBC in generalized-K fading MIMO channels
Jiang Xue, Md. Zahurul I. Sarkar, Caijun Zhong, Tharmalingam Ratnarajah 
01 Apr 2012
9 Citations
Based on which, we gain valuable insight into the fundamental tradeoff between the communication reliability and information rate of the channel.
Open access•Journal Article•DOI
Performance of Handheld MIMO Terminals in Noise- and Interference-Limited Urban Macrocellular Scenarios
Vanja Plicanic, Henrik Asplund, Buon Kiong Lau 
22 May 2012-IEEE Transactions on Antennas and Propagation
15 Citations
Nevertheless, locally, the multipath richness of the communication channel can have a significant impact on the capacity performances.
Journal Article•DOI
Wireless communication technologies for ITS applications [Topics in Automotive Networking]
Kashif Dar, Mohamed Bakhouya, Jaafar Gaber, Maxime Wack, Pascal Lorenz 
01 May 2010-IEEE Communications Magazine
279 Citations
Therefore, the demand for highly customized communication channel for each or sets of similar ITS applications is increased.
Open access•Journal Article•DOI
Distributed wireless channel allocation in networks with mobile base stations
S. Nesargi, Ravi Prakash 
01 Nov 2002-IEEE Transactions on Vehicular Technology
35 Citations
If multiple channels are available to support a communication session, the channel selection policy can have a significant impact on performance.
Open access•Journal Article•DOI
An Experimental Channel Capacity Analysis of Cooperative Networks Using Universal Software Radio Peripheral (USRP)
Shujaat Ali Khan Tanoli, Mubashir Rehman, Muhammad Bilal Khan, Ihtesham Jadoon, Farman Ali Khan, Faiza Nawaz, Syed Aziz Shah, Xiaodong Yang, Ali A. Nasir 
13 Jun 2018-Sustainability
31 Citations
The results reveal that cooperative communication attains significant improvement in terms of channel capacity of the system.
Proceedings Article•DOI
On the age of Channel State Information for non-reciprocal wireless links
Maice Costa, Stefan Valentiny, Anthony Ephremides 
14 Jun 2015
29 Citations
Our work improves the comprehension about the age of channel state information and its effect on the performance of communication links, which is fundamental for designing efficient adaptation functions and feedback protocols.

Related Questions

What is communication channel?4 answersA communication channel is an abstract structure facilitating message exchange between processes or systems. It can be a physical medium or a logical space for public announcements. Various forms of communication channels exist, such as those used in programming languages like OCCAM, in messaging systems for formatting and routing messages, and in healthcare for women to contact breast cancer screening programs. Claude Shannon's information theory introduced the concept of a communication channel to understand information sharing between a source and a receiver, applicable across diverse fields like image segmentation and virtual scene illumination. Additionally, Multiple Channel Logic addresses the complexities of public announcements, agent beliefs, and truthfulness in communication channels.
What are the best communication channels for a farming business?5 answersThe best communication channels for a farming business include radio, cell phones, TV, interpersonal channels like farmers and extension agents, workshops, and print media. Radio emerges as a highly preferred channel for disseminating agricultural information along the entire value chain, with high information scores in various locations. Additionally, media, especially television, plays a crucial role in providing information, education, and entertainment to farmers, aiding in agricultural marketing and development. Furthermore, the study emphasizes the importance of effective communication strategies involving multi-media combinations to transfer technology messages to farmers for profitable agricultural business, highlighting the impact of radio, television, and print media in enhancing knowledge gain and retention for agri-business success.
What communication channel do most users prefer?9 answers
What is fastest communication channel?10 answers
What is the fastest channel of communication?9 answers
What is the richest communication channel?15 answers

See what other people are reading

In PInn why first Adam is used for cerrtain iteration s and then L-BFGS is sued?
5 answers
In Physics-informed neural networks (PINNs), a hybrid optimization approach is employed where Adam is initially used for certain iterations followed by L-BFGS. This strategy is beneficial as Adam is a first-order optimization algorithm that efficiently handles noisy gradients and works well for initial rapid convergence, while L-BFGS, a second-order optimization method, is utilized later to fine-tune the solution with improved convergence properties. This hybrid method leverages the strengths of both algorithms to enhance the overall optimization process in PINNs, leading to better model accuracy and efficiency. The sequential use of Adam and L-BFGS optimizes the training process by combining the advantages of both algorithms at different stages, ultimately improving the performance of PINNs.In PINN why first Adam is used for certain iterations and then L-BFGS is used?
4 answers
In Physics-Informed Neural Networks (PINN), a hybrid optimization strategy involving Adam and L-BFGS is employed to balance computational efficiency and accuracy. Initially, Adam is utilized for a certain number of iterations due to its effectiveness in large-scale smooth optimization problems. However, as the optimization progresses, L-BFGS is introduced to handle nonsmooth problems more efficiently, especially when applied to a smooth approximation of the nonsmooth function. This hybrid approach leverages the strengths of both optimization methods, with Adam providing a good starting point and L-BFGS offering improved convergence and efficiency in dealing with nonsmooth optimization challenges. The transition from Adam to L-BFGS optimizes the trade-off between computational complexity and solution accuracy in PINN applications.What is the relationship between the number of balls and the power line capacity?
5 answers
The relationship between the number of balls and power line capacity is not directly addressed in the provided contexts. However, the contexts discuss various aspects related to power line capacity and transmission efficiency. An analysis on power line communication systems reveals that the channel capacity decreases with an increase in the number of branches for different types of channels. Additionally, the power capacity of transmission lines is influenced by factors like cable sizes, types, and voltage breakdown limitations. Another study proposes a method to increase off-chip bandwidth during low-performance states of system-on-chips by reusing power pins for data transmissions, enhancing data transfer efficiency. While the direct relationship between the number of balls and power line capacity is not explicitly covered, these insights collectively contribute to understanding power transmission efficiency and capacity in various contexts.What are the advantages and disadvantages of using array antennas with different geometries in wireless communication systems?
5 answers
Array antennas with different geometries offer various advantages and disadvantages in wireless communication systems. Linear arrays, as observed in, generally outperform other geometries due to their superior interference performance. However, optimizing array geometries is crucial to reduce side lobe levels and enhance directivity. For instance, directional wideband single antenna elements can help reduce mutual coupling and channel correlation in massive MIMO systems, improving overall system performance. Moreover, the choice of geometry impacts the radiation pattern characteristics, such as Half Power Beam Width and total gain, affecting the antenna's performance. Therefore, selecting the appropriate array geometry is essential to achieve optimal system performance in wireless communication networks.How are heart rate monitors used in cardiac rehabilitation?
5 answers
Heart rate monitors play a crucial role in cardiac rehabilitation by aiding in the assessment and monitoring of cardiovascular improvements in patients. Wearable devices like wrist-worn monitors and chest strap monitors are commonly used during exercise sessions. These devices help track heart rate accurately during different activities, ensuring patients stay within safe exertion levels. Additionally, innovative approaches like using vibro-tactile feedback for heart rate zones have shown promise in helping users maintain optimal heart rates effectively. By utilizing these monitoring tools, healthcare providers can tailor exercise programs, track progress, and ensure safe and effective rehabilitation for patients with cardiovascular conditions.Description for environmental monitoring in cleanroom?
5 answers
Environmental monitoring in cleanrooms is a critical component for ensuring the microbiological quality and safety of products manufactured in these controlled environments, particularly in the pharmaceutical and biotechnology industries. A comprehensive environmental monitoring program encompasses several key elements, including robust gowning procedures, cleaning protocols, and both environmental and personnel monitoring measures to minimize microbial bioburden. The design of cleanrooms aims to minimize levels of particulates, including microorganisms, to protect the integrity of the manufacturing process. Understanding the normal microbiota of cleanrooms is essential for assessing microbiological quality and for evaluating the introduction of new sampling methods. Studies have shown that a significant portion of the microbiota in cleanrooms consists of Gram-positive bacteria, with a majority being part of the normal human microbiota, and others originating from air and water. Technological advancements have led to the development of environmental monitoring systems that utilize sensors and wireless communication to monitor cleanroom parameters, enhancing the ability to maintain controlled conditions. Intelligent video monitoring systems have been introduced to ensure compliance with gowning procedures and to facilitate cleanroom management by providing timely warnings when protection standards are not met. The necessity of anaerobic environmental monitoring is debated, but it is considered important for aseptically filled products, highlighting the need for quality risk assessments to determine monitoring frequency. Cleanrooms require physical factors such as air filtration, movement, and pressure differentials to maintain a clean state, necessitating ongoing assessment through microbiological monitoring. Intelligent control systems for cleanroom environment detection offer visual display of monitoring data, enabling timely adjustments and warnings for staff in case of data abnormalities. GMP clean room environment monitoring management systems facilitate real-time analysis and prompt signaling of abnormal data, allowing for quick identification and correction of environmental conditions. Real-time monitoring systems for clean operating rooms incorporate comprehensive sensor arrays to ensure optimal environmental conditions, improving the scientific accuracy of data collection.What are the remaining unsolved problems of digital predistortion?
4 answers
Remaining challenges in digital predistortion (DPD) include addressing channel-dependent variations in MIMO transmitters, reducing complexity in NN-based DPD techniques for multiple paths, managing non-linearity in high-power amplifiers for Narrowband IoT applications, overcoming computational complexity in 2D polynomial-based DPD for dual-band transmitters, and mitigating performance issues due to modeling errors and measurement noise in IDLS predistortion systems. These challenges encompass issues such as adapting DPD to varying channel conditions, enhancing DPD performance while reducing complexity, handling non-linearity in high-power amplifiers, managing computational complexity in multi-band transmitters, and addressing biases introduced by measurement noise and modeling errors in IDLS systems.What are the components of mussels shell?
5 answers
The components of mussel shells include mussel shell powder as the main material and marine organism active substances as auxiliary materials. Mussel shell powder is a key component in various applications such as fruit and vegetable cleaning agents, paints for indoor air purification, and shell components for mobile terminals. These shells are utilized in diverse ways due to their unique properties, such as adsorption capabilities, ion exchange, catalytic effects, and alkaline properties. Additionally, the incorporation of marine organism active substances enhances the chelation of heavy metals and effective removal of pesticide residues in products like cleaning agents and paints. The utilization of mussel shells in different innovations showcases their versatility and eco-friendly characteristics.What is a paid channe?
4 answers
A paid channel refers to a system or service where users pay for access to specific content or communication features. This can include paid communication systems with customized charging standards, paid social network services that quantify the value of social information exchanged between users, and pay broadcasting systems that enable encrypted content delivery with separate key management. Additionally, paid caregiving involves nonfamily caregivers providing essential support to individuals, offering respite for family members and contributing valuable insights to healthcare professionals. Furthermore, paid telecommunication systems utilize special codes for prepayment of telephone services without physical tokens or credit cards. These diverse systems highlight the various ways in which payment structures are integrated into different channels for communication, social interaction, caregiving, and broadcasting.What are the fundamental principles behind each decoding strategy?
5 answers
The fundamental principles behind each decoding strategy, as derived from the provided contexts, can be summarized as follows: 1. **Performance Drivers for Investment Strategies**: The principles include high positive own-asset signal-return predictability, low or negative cross-asset signal correlation, and low or negative cross-asset signal-return predictability, which are crucial for zero-cost systematic investment strategies, particularly in the context of long-short pair strategies. 2. **Information Lossless Coding Scheme**: This strategy involves decomposing the original channel into a bank of memoryless sub-channels with partially known states and successively decoding these sub-channels, which is applied to channels with memory like finite state Markov channels and correlated flat fading channels. 3. **Stabilization Over Noisy Links**: Utilizing a nearly memoryless observer/encoder and a controller/decoder based on the ZJ or Stack Algorithm, this strategy achieves stabilization of discrete-time scalar unstable plants over noisy communication links by relying on simple encoding and decoding strategies. 4. **Divide and Conquer for Error Performance**: Improving the V-BLAST system's error performance through a new decoding algorithm that uses a recursive method to estimate the transmitted symbol vector, dividing it into smaller subvectors for estimation. 5. **Partitioned Search for Complexity Reduction**: Applied to continuous speech recognition, this strategy dramatically reduces complexity and improves recognition rates and noise robustness by partitioning the search of a language model. 6. **Inference of Decoding Weights Without Precise Knowledge**: This involves expanding current theories of neural coding to infer decoding weights of different brain areas without precise knowledge of the correlation structure, applied to neural data from cortical areas in macaque monkeys. 7. **Amplitude-Discriminating for High Precision**: Utilizing a twin-channel brushless resolver decoder based on AD2S80A chips for high precise angle position sensing, combining coarse and fine codes into a high precise angle-measuring code. 8. **Abstract Algebra and Graph Theory in Digital Communication**: Incorporating sets, groups, rings, domains, fields, and elements of graph theory, this strategy underpins the encoding and decoding processes in digital communication, including the use of linear block codes and convolutional codes. 9. **Parametric Coding for Audio Signal Reconstruction**: A decoding system that reconstructs an audio signal based on parametric coding or discretely coded channels, using a core signal and mixing parameters for spatial synthesis, with error handling procedures for defective frames. Each of these strategies leverages unique principles tailored to their specific application domains, from financial investment strategies and communication over noisy channels to neural decoding and audio signal processing.What are the potential risks and challenges associated with implementing a hacking environment?
5 answers
Implementing a hacking environment poses various risks and challenges. These include the potential exploitation of vulnerabilities in operating system kernels, leading to process isolation breaches. Additionally, the use of electronic implants with wireless capabilities in healthcare introduces security risks if access is not adequately protected, emphasizing the need for improved risk assessments and independent quality assurance testing. Closed-source proprietary software presents risks such as reduced adaptability, inscrutability of code, and lack of interoperability, hindering system robustness and security. Furthermore, the concatenation of attacks on communication protocols in Internet of Things devices can create undesired situations, highlighting the increased attack surface in connected environments. To mitigate these risks, creating a secure environment for untrusted applications by restricting access to the operating system can help prevent security breaches and protect against adversarial data manipulation.