Capacity and Coverage Increase with Repeaters in UMTS

In TDM PONs, or simply PONs, the transmission capacity of optical fibers remains under-utilized with single-wavelength transmissions for both upstream and downstream traffic. Use of WDM transmission in PONs can significantly enhance the overall network capacity and coverage area. WDM transmission in PONs can be realized in several ways, such as by using WDM exclusively or combining WDM with TDM, leading to WDM PONs and TDM-WDM PONs (TWDM PONs). This chapter gives several candidate physical configurations to realize WDM and TWDM PONs, and describes some useful dynamic wavelength-bandwidth allocation (DWBA) schemes for the latter. We also briefly discuss the needs of open access to the PON-based access networks for the various stakeholders, such as service providers and network providers. Finally, we describe briefly the roles of optical networking in the access segment of mobile networks. (135 words)

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Review for Capacity and Coverage Improvement in Aerially Controlled Heterogeneous Network

Lecture Notes in Electrical Engineering - Optical and Wireless Technologies ◽

10.1007/978-981-13-6159-3_39 ◽

2019 ◽

pp. 365-376 ◽

Cited By ~ 1

Author(s):

Akshita Gupta ◽

Shriya Sundhan ◽

S. H. Alsamhi ◽

Sachin Kumar Gupta

Keyword(s):

Heterogeneous Network ◽

Capacity And Coverage

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Capacity and Coverage in Clustered LOS mmWave Ad Hoc Networks

2016 IEEE Global Communications Conference (GLOBECOM) ◽

10.1109/glocom.2016.7841648 ◽

2016 ◽

Cited By ~ 4

Author(s):

Andrew Thornburg ◽

Robert W. Heath

Keyword(s):

Ad Hoc Networks ◽

Ad Hoc ◽

Hoc Networks ◽

Capacity And Coverage

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On the uplink capacity and coverage of relay-assisted UMTS cellular network with multiuser detection

2012 IEEE Wireless Communications and Networking Conference (WCNC) ◽

10.1109/wcnc.2012.6214314 ◽

2012 ◽

Author(s):

Zhenning Shi ◽

Ming Zhao ◽

He Wang ◽

Mark C. Reed

Keyword(s):

Multiuser Detection ◽

Cellular Network ◽

Uplink Capacity ◽

Capacity And Coverage

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Can Existing Improvements of Water, Sanitation, and Hygiene (WASH) in Urban Slums Reduce the Burden of Typhoid Fever in These Settings?

Clinical Infectious Diseases ◽

10.1093/cid/ciaa1429 ◽

2020 ◽

Author(s):

Justin Im ◽

Md Taufiqul Islam ◽

Faisal Ahmmed ◽

Deok Ryun Kim ◽

Ashraful Islam Khan ◽

...

Keyword(s):

Cox Regression ◽

Learning Algorithm ◽

Age Groups ◽

Prospective Data ◽

Sanitation And Hygiene ◽

Younger Age ◽

Virtual Clusters ◽

Household Members ◽

Training Subset ◽

Coverage Increase

Abstract Background Sustained investments in water, sanitation, and hygiene (WASH) have lagged in resource-poor settings; incremental WASH improvements may, nonetheless, prevent diseases such as typhoid in disease-endemic populations. Methods Using prospective data from a large cohort in urban Kolkata, India, we evaluated whether baseline WASH variables predicted typhoid risk in a training subpopulation (n = 28 470). We applied a machine learning algorithm to the training subset to create a composite, dichotomous (good, not good) WASH variable based on 4 variables, and evaluated sensitivity and specificity of this variable in a validation subset (n = 28 470). We evaluated in Cox regression models whether residents of “good” WASH households experienced a lower typhoid risk after controlling for potential confounders. We constructed virtual clusters (radius 50 m) surrounding each household to evaluate whether a prevalence of good WASH practices modified the typhoid risk in central household members. Results Good WASH practices were associated with protection in analyses of all households (hazard ratio [HR] = 0.57; 95% confidence interval [CI], .37–.90; P = .015). This protection was evident in persons ≥5 years old at baseline (HR = 0.47; 95% CI, .34–.93; P = .005) and was suggestive, though not statistically significant, in younger age groups (HR = 0.61; 95% CI, .27–1.38; P = .235). The level of surrounding household good WASH coverage was also associated with protection (HR = 0.988; 95% CI, .979–.996; P = .004, for each percent coverage increase). However, collinearity between household WASH and WASH coverage prevented an assessment of their independent predictive contributions. Conclusions In this typhoid-endemic setting, natural variation in household WASH was associated with typhoid risk. If replicated elsewhere, these findings suggest that WASH improvements may enhance typhoid control, short of major infrastructural investments.

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