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Resource Allocation in 5G Multi-Tier Networks

Thesis Info

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External Link

Author

Sher Ali

Program

PhD

Institute

COMSATS University Islamabad

City

Islamabad

Province

Islamabad.

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Electrical Engineering

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/11641/1/Sher%20ali%20Electrical%20engg%202019%20comsats%20isb%20prr.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727823962

Similar


The evolving fifth-generation (5G) cellular networks are intended to overcome the basic challenges of current cellular networks, e.g., higher data-rates, lower latency, network capacity and energy-efficiency (EE). To meet these challenges, 5G networks need to adopt a multi-tier architecture containing different network tiers e.g., macrocells, different types of licensed small cells and device-to-device (D2D) communication to serve their intended users with different quality of service (QoS) demands in an energy-efficient and spectrum-efficient way. The coexistence of different network tiers can be more beneficial if they share the same resources. But, the coexistence of these tiers and sharing the same resources among them may result in severe interference which may degrade the performance of 5G networks. Therefore, a well capable centralized mechanism is required which can efficiently allocate resources to different network tiers in order to achieve the envisioned goals of 5G. To this end, cloud radio access networks (C-RANs) have been presented as effective solutions which can provide high EE, improved network capacity, high network sum-rate, high spectral efficiency and reduced operating expenditures. Therefore, we have combined the potentials of multi-tier architecture and C-RAN and have presented different resource allocation (RA) techniques. xi decomposed into three sub problems namely, sub-channel assignment problem, power allocation problem and RRH-association problem. A three step iterative technique is presented to solve these sub problems in an iterative manner such that sub-channel assignment and power allocation are carried out for the fixed RRH-association in the first and second steps, respectively while in the third step, RRH-association is performed. In addition, two heuristics algorithms for sub-channel assignment namely, individual sub-channel assignment (ISA) and sub-channels block assignment (SBA) algorithms are proposed. Finally, D2D communication enabled SC-FDMA based multi-tier C-RAN is considered and a joint mode selection, sub-channel assignment, power allocation and RRH-association (JMSPR) problem is formulated for EE maximization. The formulated joint optimization problem is MINLP and therefore, it is solved in two stages; mode selection stage and joint SAPARA stage. To solve the mode selection problem, a two-step iterative mode selection algorithm is presented which first identify the potential D2D communication pairs by defining the proximity of the transmitters and then enable D2D communication between the proximate users based on link quality. While, for joint SAPARA, a three-step iterative technique is presented. The performances of the above mentioned proposed techniques are evaluated via exhaustive simulations. It is shown that these techniques significantly enhance the performance of the corresponding multi-tier networks.
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Menstrual Cycle in Female Workers

Menstrual disorders are abnormalities that occur in the menstrual cycle. There are various menstrual disorders that women can experience, ranging from too little or too much menstrual blood, painful menstruation, to depression before menstruation or premenstrual dysphoric disorder. Physical activity is divided into three levels, namely light, moderate and heavy physical activity. Physical activity of heavy intensity can cause physiological disorders of the menstrual cycle. Presence of menstruation (amenorrhoea), thinning of the bones (osteoporosis), menstrual irregularities or intermenstrual bleeding, abnormal growth of the uterine wall, and infertility.

Cultivar Resistance and Chemical Control of Tomato Fruitworm, Heliothis Hb. Armigera on Tomato Lycopersicon Esculentum Mill.

During present investigation experiments were conducted on the pest phenology on tomato crop for three years (1989-91), at Pes t Peshawar. Institute, Tarnab, Research Agricultural pehnological studies comprised egg, larval population dynamics, spatial distribution analysis and development of larval time sequential sampling plan. On population dynamics, the regression equation for egg and/or larval population development showed feeble negative p values during 1989 and 1991, and positive p values All equations showed poor correlation during the year 1990. coefficient. The sequent ional sampling programme data showed two distinct population configurations i.e. outbreak and endemic. The differences in growth rates between types were small at first. , A total of ca . 6 samples reached to its peak and then declined. (each week) would be adequate to detect type of configuration in any one year. Spatial pattern of H. armigera Hb . egg distribution during the study revealed that index of dispersion (I.D.) values were more than 1 in 1990 and 1991. However, in 1989 the l.D. values oscillated around 1. Moreover, most of the green''s index (G.I.) values were positive which confirm the negative binomial The I.D. values of the distribution of Hÿ_ armigera Hb. eggs. spatial pattern of H. armigera Hb. larval distribution were mostly higher than 1. Therefore, larval distribution also fits negative binomial distribution. The results of discriminating doses of potassium fertilizer on egg and larval population, and the fruit infestation showed that there was no significant effect of fertilizer on the uptake of tomato plants, on egg and larval population, and on the infestation of tomato. To compare relative efficacy of nine insecticides, one application was done during the year (1989), and three during each remaining two years of study i.e. 1990 and 1991. All the insecticides were found successful in keeping the larval population below outbreak configuration level upto 15 days after spray. ( viii ) S ! Consolidation of study data over a period of three years revealed that Thiodon was statistically the most effective wiLh 77.88 percent larval mortality, followed by Folidol M (75.96%), Sevin (69.32%), Thuricide (67.12%), Dimilin (66.38%), Edcidin (65.32%) and Atabron (59.85%). Permasect and Azodrin were significantly the mortality larval and 54.66% 58.55% with effective least level). The resulLs also respectively (cdii = 17.03 at 0.05 indicated a tendency in the reduction of effectiveness of Folidol M, Azodrin, Dimilin and Thuricide over a period of three years which might probably be due to enhancement in the degree of tolerance developing in H. armiqera Hb . Cluster analysis on the interactions of eggs and larval per plant, percent fruit damage and yield in Kg per plant of 65 toniaLo cultivars gave five cluster groups. Frequency-wise cluster analysis showed two varieties in group A (3.08%), two in B (3.08%), one in C (1.53%), fifty nine in D (90.78%) and one in E (1.53%). In the regression analysis of correlation between characteristics of 65 varieties and H- armiqera Hb. infestation, step-wise model was fitted, the correlation between infestion gave negative dependence larval infestation (-0.3251) with poor correlation (-0.2558) . Similar coefficient results were obtained for correlation between yield and number of larvae per plant (b=0.4Q04, r=0 . 0893 ) The step-wise model correlation between larval chemical/physical population and parameters gave negative dependence on trichome length (-0.0100) and iron content (-15494E- 04) and positive dependence on zinc (0.0028) and vitamin C (0.0279). Cluster analysis on the interaction of larval duration, pupal duration, adult longevity, duration of life cycle, larval and pupal weight and survival to adult stage also gave five cluster groups . Frequency-wise cluster analysis showed two varieties in group A (3.08%), four in B (6.15%), fifty two in C (84.62%), three in D (4.62%) and one in E (1.53%). Tiny Tim being moderately resistant cultivar, was placed in group E. . The results indicated that integration of resistant cultivar, Tiny Tim and Bacillus thurinqiensis had maximum effect on larval mortality and minimum percent fruit infestation, it was followed by accession 87-11(1) also a resistant line, while the maximum infestation was recorded on the most susceptible cultivar, Big long. The host range and average number of larvae/plant of H. armiqera Hb were recorded on soybean (1.63), gram (4.80), tomato (0.31), tobacco (1.64), maize (0.81), sunflower (0.07), okra (0.67), potato (1.92) and burseem (0.90). Gram was observed to be the most favourable host plant of this pest