A Stochastic Geometric Approach Towards The Energy Efficiency Analysis Of Cache Enabled Networks (Record no. 8727)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04273ntm a22002417a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 201210b2018 a|||f bm|| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | EG-CaNU |
| Transcribing agency | EG-CaNU |
| 041 0# - Language Code | |
| Language code of text | eng |
| Language code of abstract | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 332 |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Omar Magdy Sleem |
| 245 1# - TITLE STATEMENT | |
| Title | A Stochastic Geometric Approach Towards The Energy Efficiency Analysis Of Cache Enabled Networks |
| Statement of responsibility, etc. | Omar Magdy Sleem |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | p. |
| Other physical details | ill. |
| Dimensions | 21 cm. |
| 500 ## - GENERAL NOTE | |
| Materials specified | Supervisor: Amr El-Sherif,<br/>Laila Hesham,<br/>Tamer ElBatt. |
| 502 ## - Dissertation Note | |
| Dissertation type | Thesis (M.A.)—Nile University, Egypt, 2018 . |
| 504 ## - Bibliography | |
| Bibliography | "Includes bibliographical references" |
| 505 0# - Contents | |
| Formatted contents note | Contents:<br/>1.1 Motivation <br/>1.2 Related Work <br/>1.3 Contributions <br/>2. Baseline System Model <br/>2.1 System Model <br/>2.1.1 Network Model<br/>2.1.2 Content Characteristics <br/>2.1.3 Serving Scenarios <br/>2.2 Problem Formulation <br/>2.2.1 Hit Probability Analysis <br/>2.2.2 Rate Analysis <br/>2.2.3 Power Analysis <br/>2.2.4 Energy Efficiency <br/>2.3 Simulation results <br/>2.3.1 Simulation Setup <br/>2.3.2 The effect of SBS density on EE <br/>2.3.3 The effect of user density on EE <br/>2.3.4 Optimal SBS density vs User Density<br/>2.3.5 Maximum Energy Efficiency vs User Density <br/>2.3.6 Optimal SBS density vs Cache Size <br/>2.3.7 Observations from the numerical results <br/>3. Poisson Cluster Process Network <br/>3.1 System Model <br/>3.1.1 Propagation Model <br/>3.1.2 Content Characteristics <br/>3.2 Hit Probability Analysis <br/>3.3 Spectral Efficiency analysis <br/>3.3.1 Distance between the users and any SBS <br/>3.3.2 Distance between the user and any cluster center <br/>3.3.3 Distance between the user and serving SBS <br/>3.3.4 Distance between the user and intra-cluster interferers <br/>3.3.5 Laplace transform of intra-cluster interference <br/>3.3.6 Laplace transform of inter-cluster interference <br/>3.3.7 Average Spectral Efficiency per User <br/>3.4 Total Average Rate Per SBS <br/>3.4.1 Users Number Distribution in Case of TCP <br/>3.5 Power Analysis <br/>3.6 Energy Efficiency Per SBS <br/>3.7 Simulation Results <br/>3.7.1 Simulation Setup <br/>3.7.2 Validation of lemma 3 <br/>3.7.3 The effect of SBS density on EE <br/>3.7.4 Per Cluster User Density vs Optimal SBS Density <br/>3.7.5 Per Cluster User Density vs Maximum EE <br/>3.7.6 Cache Size Vs Optimal SBS Density |
| 520 3# - Abstract | |
| Abstract | Abstract:<br/>thousand-fold increase in traffic and demand. Such rapid and exponential evolution<br/>of the emerging networks introduces several crucial aspects that have to be thoroughly<br/>captured. One of such is the critical need for providing reliable coverage, which can<br/>be achieved by deploying small BSs (SBSs), i.e., pico-BSs and/or femto-BSs to handle<br/>the vast number of connections. In addition, it has been suggested to provide such<br/>SBSs with cache storage in order to reduce congestion on backhaul connections. Not<br/>only can the SBSs enhance the overall network coverage, but also have the ability to<br/>coordinate with neighboring SBSs and fetch data from their caches.<br/>In this thesis, we investigate the impact of densification of cache-enabled small<br/>base stations (SBSs) in multi-tier cellular network. In the proposed model, a SBS<br/>has the ability to coordinate with neighboring SBSs and fetch data from their caches.<br/>We focus on the effect of SBSs’ density on the network’s energy efficiency. To this<br/>end, tools from stochastic geometry theory is used to model the SBSs and users distributions,<br/>which enables us to find closed-form expressions for the network’s energy<br/>efficiency as a function of the SBSs density together with the cache size at each SBS.<br/>We first exploit a uniform Poisson point process (PPP) to model the distribution of<br/>the SBSs. For more practical scenarios, we further extend the model to a Thomas<br/>cluster point process (TCP) in order to account for the inherent clustering properties<br/>iii<br/>of the network. The optimal SBSs density that maximizes the energy efficiency is<br/>characterized, and the relation between this optimal density and the cache size at the<br/>SBS is highlighted. In addition, the effect of the users’ density in the network on the<br/>energy efficiency and the optimal SBS density is investigated. |
| 546 ## - Language Note | |
| Language Note | Text in English, abstracts in English. |
| 650 #4 - Subject | |
| Subject | Banking & Finance |
| 655 #7 - Index Term-Genre/Form | |
| Source of term | NULIB |
| focus term | Dissertation, Academic |
| 690 ## - Subject | |
| School | Banking & Finance |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
| 650 #4 - Subject | |
| -- | 189 |
| 655 #7 - Index Term-Genre/Form | |
| -- | 187 |
| 690 ## - Subject | |
| -- | 189 |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Home library | Current library | Date acquired | Total Checkouts | Full call number | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Main library | Main library | 12/10/2020 | 332 / O. S.S / 2018 | 12/10/2020 | 12/10/2020 | Thesis |