The cloud radio access network (CRAN) architecture provides a pool of shareable centralized baseband processing unit (BBU), which is responsible for processing the entire network load exerted by remote radio heads (RRHs), regarded as ‘RRH- requests’. In this dissertation, we consider each BBU has only one core-computing unit (CCU) that is fitted with a single core general-purpose processor (GPP). Computing resource (CR) allocation has been widely investigated in CRAN, which decides the system’s resource and energy efficiency. However, these schemes allo- cate CR without considering GPP operating temperature and thus are not feasible in practice. This is because none GPP can process any task once its operating temperature reaches the permissible limit. Therefore, it is necessary to optimize the CR utilization while taking the GPP operating temperature into considera- tion. On the other hand, to optimize CR utilization, less number of BBUs has to execute the same amount of RRH-requests. This causes dramatic rise in GPP’s op- erating temperature and imposes computational power (CP) efficiency problem.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The cloud radio access network (CRAN) architecture provides a pool of shareable centralized baseband processing unit (BBU), which is responsible for processing the entire network load exerted by remote radio heads (RRHs), regarded as 'RRH- requests'. In this dissertation, we consider each BBU has only one core-computing unit (CCU) that is fitted with a single core general-purpose processor (GPP). Computing resource (CR) allocation has been widely investigated in CRAN, which decides the system's resource and energy efficiency. However, these schemes allo- cate CR without considering GPP operating temperature and thus are not feasible in practice. This is because none GPP can process any task once its operating temperature reaches the permissible limit. Therefore, it is necessary to optimize the CR utilization while taking the GPP operating temperature into considera- tion. On the other hand, to optimize CR utilization, less number of BBUs has to execute the same amount of RRH-requests. This causes dramatic rise in GPP's op- erating temperature and imposes computational power (CP) efficiency problem. 148 pp. Englisch. Seller Inventory # 9786139445639
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Sah Tyagi Sumarga KumarSumarga Kumar Sah Tyagi received PhD. from Institute of Computing Technology, Chinese Academy of Sciences. Currently, he is with the School of Electronic and Information Engineering, Zhongyuan University of Tec. Seller Inventory # 385858323
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The cloud radio access network (CRAN) architecture provides a pool of shareable centralized baseband processing unit (BBU), which is responsible for processing the entire network load exerted by remote radio heads (RRHs), regarded as 'RRH- requests'. In this dissertation, we consider each BBU has only one core-computing unit (CCU) that is fitted with a single core general-purpose processor (GPP). Computing resource (CR) allocation has been widely investigated in CRAN, which decides the system's resource and energy efficiency. However, these schemes allo- cate CR without considering GPP operating temperature and thus are not feasible in practice. This is because none GPP can process any task once its operating temperature reaches the permissible limit. Therefore, it is necessary to optimize the CR utilization while taking the GPP operating temperature into considera- tion. On the other hand, to optimize CR utilization, less number of BBUs has to execute the same amount of RRH-requests. This causes dramatic rise in GPP's op- erating temperature and imposes computational power (CP) efficiency problem.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 148 pp. Englisch. Seller Inventory # 9786139445639
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Taschenbuch. Condition: Neu. Thermal-aware Energy-efficient Dynamic BBU Pooling in CRAN | Sumarga Kumar Sah Tyagi (u. a.) | Taschenbuch | 148 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786139445639 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 115971900
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The cloud radio access network (CRAN) architecture provides a pool of shareable centralized baseband processing unit (BBU), which is responsible for processing the entire network load exerted by remote radio heads (RRHs), regarded as 'RRH- requests'. In this dissertation, we consider each BBU has only one core-computing unit (CCU) that is fitted with a single core general-purpose processor (GPP). Computing resource (CR) allocation has been widely investigated in CRAN, which decides the system's resource and energy efficiency. However, these schemes allo- cate CR without considering GPP operating temperature and thus are not feasible in practice. This is because none GPP can process any task once its operating temperature reaches the permissible limit. Therefore, it is necessary to optimize the CR utilization while taking the GPP operating temperature into considera- tion. On the other hand, to optimize CR utilization, less number of BBUs has to execute the same amount of RRH-requests. This causes dramatic rise in GPP's op- erating temperature and imposes computational power (CP) efficiency problem. Seller Inventory # 9786139445639
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Condition: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | The cloud radio access network (CRAN) architecture provides a pool of shareable centralized baseband processing unit (BBU), which is responsible for processing the entire network load exerted by remote radio heads (RRHs), regarded as ¿RRH- requests¿. In this dissertation, we consider each BBU has only one core-computing unit (CCU) that is fitted with a single core general-purpose processor (GPP). Computing resource (CR) allocation has been widely investigated in CRAN, which decides the system¿s resource and energy efficiency. However, these schemes allo- cate CR without considering GPP operating temperature and thus are not feasible in practice. This is because none GPP can process any task once its operating temperature reaches the permissible limit. Therefore, it is necessary to optimize the CR utilization while taking the GPP operating temperature into considera- tion. On the other hand, to optimize CR utilization, less number of BBUs has to execute the same amount of RRH-requests. This causes dramatic rise in GPP¿s op- erating temperature and imposes computational power (CP) efficiency problem. Seller Inventory # 34225143/1
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