GPP-based soft base station designing and optimization

Tao, XF; Hou, YZ; Wang, KD; He, HY; Guo, YJ

GPP-based soft base station designing and optimization

Tao, XF Hou, YZ Wang, KD He, HY Guo, YJ

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Publication Type:: Journal Article
Citation:: Journal of Computer Science and Technology, 2013, 28 (3), pp. 420 - 428
Issue Date:: 2013-05-01

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Field	Value	Language
dc.contributor.author	Tao, XF	en_US
dc.contributor.author	Hou, YZ	en_US
dc.contributor.author	Wang, KD	en_US
dc.contributor.author	He, HY	en_US
dc.contributor.author	Guo, YJ https://orcid.org/0000-0001-6008-9682	en_US
dc.date.issued	2013-05-01	en_US
dc.identifier.citation	Journal of Computer Science and Technology, 2013, 28 (3), pp. 420 - 428	en_US
dc.identifier.issn	1000-9000	en_US
dc.identifier.uri	http://hdl.handle.net/10453/116268
dc.description.abstract	It is generally acknowledged that mobile communication base stations are composed of hardware components such as Field Programming Gate Array (FPGA), Digital Signal Processor (DSP), which promise reliable and fluent services for the mobile users. However, with the increasing demand for energy-efficiency, approaches of low power-consumption and high-flexibility are needed urgently. In this circumstance, General Purpose Processor (GPP) attracts people's attention for its low-cost and flexibility. Benefited from the development of modern GPP in multi-core, Single Instruction Multiple Data (SIMD) instructions, larger cache, etc., GPPs are capable of performing high-density digital processing. In this paper, we compare several software-defined radio (SDR) prototypes and propose the general architecture of GPP-based soft base stations. Then, the schematic design of resource allocation and algorithm optimization in soft base station implementation are studied. As an application example, a prototype of GPP-based soft base station referring to the 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE) is realized and evaluated. To the best of our knowledge, it is the first Soft-LTE prototype ever reported. In the end, we evaluate the timing performance of the LTE soft base station and a packet loss ratio of less than 0.003 is obtained. © 2013 Springer Science+Business Media New York & Science Press, China.	en_US
dc.relation.ispartof	Journal of Computer Science and Technology	en_US
dc.relation.isbasedon	10.1007/s11390-013-1343-3	en_US
dc.subject.classification	Software Engineering	en_US
dc.title	GPP-based soft base station designing and optimization	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.citation.volume	28	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	08 Information and Computing Sciences	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	closed_access
pubs.declined	2017-09-05T11:24:49.327+1000
pubs.issue	3	en_US
pubs.publication-status	Published	en_US
pubs.volume	28	en_US

Abstract:

It is generally acknowledged that mobile communication base stations are composed of hardware components such as Field Programming Gate Array (FPGA), Digital Signal Processor (DSP), which promise reliable and fluent services for the mobile users. However, with the increasing demand for energy-efficiency, approaches of low power-consumption and high-flexibility are needed urgently. In this circumstance, General Purpose Processor (GPP) attracts people's attention for its low-cost and flexibility. Benefited from the development of modern GPP in multi-core, Single Instruction Multiple Data (SIMD) instructions, larger cache, etc., GPPs are capable of performing high-density digital processing. In this paper, we compare several software-defined radio (SDR) prototypes and propose the general architecture of GPP-based soft base stations. Then, the schematic design of resource allocation and algorithm optimization in soft base station implementation are studied. As an application example, a prototype of GPP-based soft base station referring to the 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE) is realized and evaluated. To the best of our knowledge, it is the first Soft-LTE prototype ever reported. In the end, we evaluate the timing performance of the LTE soft base station and a packet loss ratio of less than 0.003 is obtained. © 2013 Springer Science+Business Media New York & Science Press, China.

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http://hdl.handle.net/10453/116268