Relay Selection Scheme for Cooperative Communication Systems in ...
68 International Journal of Mobile Computing and Multimedia Communications, 6(2), 68-77, April-June 2014
Relay Selection Scheme for Cooperative Communication Systems in Fixed Decodeand-Forward Mode Jyh-Horng Wen, Department of Electrical Engineering, Tunghai University, Taichung, Taiwan Jheng-Sian Li, Department of Communications Engineering, National Chung Cheng University, Minxiong, Taiwan Hsiang-Shan Hou, Department of Electrical Engineering, Tunghai University, Taichung, Taiwan Cheng-Ying Yang, Department of Computer Science, University of Taipei, Taipei, Taiwan
ABSTRACT Cooperative system is a tendency in the future communications because it provides a spatial diversity to improve the system performance. This work considers the cooperative communication systems in Fixed DF Mode. The scenario includes multiple source stations, multiple relay stations and multiple destination stations. For the whole system, the maximum throughput approaching is the major purpose. Hence, to select the relay stations for signal transmission could be the important scheme to achieve the optimal system performance. With the exhaustive search method, easily to realize, the optimal selection scheme could be found with a highly complicated calculation. In order to reduce the computational complexity, a relay selection scheme is proposed. With different situations of the communication systems, the performances evaluations obtained with both the proposed algorithm and the exhaustive search method are given for comparison. It shows the proposed algorithm could provide a solution approaches to the optimal one. It could apply the proposed scheme to the practical without a delay because of long-time calculation. Keywords:
Cooperative Communication, Exhaustive Search Method, Fixed Decode-and-Forward (DF) Mode, Relay Selection, Simulation
INTRODUCTION Similarly to the Multiple Input Multiple Output (MIMO) technique with a character of spatial diversity, the cooperative communication system improves the system performance and becomes
an important issue. (Astely, Dahlman, Furuskar, Jading, Lindstrom & Parkvall, 2009; Li, Li, Lee, Lee, Mazzarese, Clerckx, & Li, 2010; Sugumaran, Raghunathan & Vivekanandan, 2009; Laneman, Tse & Wornell, 2004; Sendonaris, Erkip, & Aazhang, 2003; Nosratinia, Hunter
DOI: 10.4018/ijmcmc.2014040106 Copyright © 2014, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
International Journal of Mobile Computing and Multimedia Communications, 6(2), 68-77, April-June 2014 69
& Hedayat, 2004; Ibrahim, Sadek, Su & Liu, 2008; Nosratinia & Hunter, 2007) Comparing with multiple carrier modulation schemes and MIMO schemes, the cooperative transmission is with a low implementation cost and a less complexity of the device and provides a high throughput performance. The relays station in the cooperative communication system could provide the spatially diversity gain by forwarding the source’s message to the destination similar to the multiple input multiple output (MIMO) technique (Sreng, Yanikomeroglu & Falconer, 2003; Sadek, Su & Liu, 2007). Although MIMO could also provide spatially diversity gain, the implementation cost and complexity of the device increase with the number of antennas. At the environment without multiple antennas, the cooperative communication system could work with spatial diversity. It increases the transmission data rate and provides a reliable channel capacity by employing the relay station. (Hong, Huang, Chiu, & Kuo, 2007; Bletsas, Shin & Win, 2006; Shi, Yu, Zhang, Chen & Qiu, 2007) The cooperative communication system could be the tendency for the future communications under the low cost consideration. Basically, there are three cooperative strategies used for the cooperative communications. (Yang, Lin, & Wen, 2014; Wen, Chiang, Lin, & Yang, 2014; Bletsas, Khisti, Reed & Lippman, 2006) One is Amplify-and-Forward (AF) mode, another is Decode-and-Forward (DF) mode and the other is Compress and Forward (CF) mode. The transmitted signal could be amplified and retransmit to destination with AF mode (Bletsas, Shin & Win, 2007). It is easy to be implemented with a low complexity. It is good to be used to those short distance transmissions without a serious degrading factor. On the other hand, the relay station decodes and demodulates the received signal and, then, recodes and modulates the signal to retransmit to the destination with DF mode (Laneman & Wornell, 2003; Janani, Hedayat, Hunter & Nosratinia, 2004). The relay station in CF mode does not have to decode the compressed signal. It uses the coding schemes to compress the received signal and retransmit to the destination. Generally, these three modes
could effectively improve the performance of system. Among those three modes employed in the cooperative communication systems, AF mode could be implemented with a low complexity (Sendonaris, Erkip, & Aazhang, 2003; Yang, Lin, & Wen, 2014). The relay station forwards and augments the attenuated received signal. Under the high signal to noise ratio (SNR) environments, DF mode could be more effective. The relay station decodes the received signal and, retransmits the coded signal. The transmitted signal from the relay station could be the same signal as it is sent from the source station. The cooperative communication could obtain the coding gain because of the error coding strategy. With consideration of the bandwidth efficiency, CF mode could be employed by data compressing technique. It is suitable to the band limited transmission channel (Kramer, Gastpar, & Gupta, 2005). All these cooperative modes benefits to the system with a relay station selection algorithm. Appreciate relay station selection scheme plays an important role to improve the channel capacity between the source and the destination (Kramer, Gastpar & Gupta, 2005; Bletsas, Shin & Win, 2007). Based on DF mode, under the consideration of multiple sources and multiple relay stations, the relay station selection strategy is major concerned for the multiple source-destination pairs matching to obtain a reliable high data rate transmission and a better management for base station (Bletsas, Shin & Win, 2006; Biswash & Kumar, 2013; Setyono, Alam & Eswaran, 2014). The optimization solution to relay selection could be found by using an exhaustive search method which is simply realized. However, it takes a long time for a high computational complexity when the number of relay stations and the number of destination stations increase. For the real time applications, a relay selection scheme with a low computational complexity is proposed. In the following section, the cooperative modes employed in the cooperative communication system are described with a theoretical performance evaluation. Next, the relay selection method for the maximal system throughput
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Relay Selection Scheme for Cooperative Communication Systems in Fixed Decodeand-Forward Mode Jyh-Horng Wen, Department of Electrical Engineering, Tunghai University, Taichung, Taiwan Jheng-Sian Li, Department of Communications Engineering, National Chung Cheng University, Minxiong, Taiwan Hsiang-Shan Hou, Department of Electrical Engineering, Tunghai University, Taichung, Taiwan Cheng-Ying Yang, Department of Computer Science, University of Taipei, Taipei, Taiwan
ABSTRACT Cooperative system is a tendency in the future communications because it provides a spatial diversity to improve the system performance. This work considers the cooperative communication systems in Fixed DF Mode. The scenario includes multiple source stations, multiple relay stations and multiple destination stations. For the whole system, the maximum throughput approaching is the major purpose. Hence, to select the relay stations for signal transmission could be the important scheme to achieve the optimal system performance. With the exhaustive search method, easily to realize, the optimal selection scheme could be found with a highly complicated calculation. In order to reduce the computational complexity, a relay selection scheme is proposed. With different situations of the communication systems, the performances evaluations obtained with both the proposed algorithm and the exhaustive search method are given for comparison. It shows the proposed algorithm could provide a solution approaches to the optimal one. It could apply the proposed scheme to the practical without a delay because of long-time calculation. Keywords:
Cooperative Communication, Exhaustive Search Method, Fixed Decode-and-Forward (DF) Mode, Relay Selection, Simulation
INTRODUCTION Similarly to the Multiple Input Multiple Output (MIMO) technique with a character of spatial diversity, the cooperative communication system improves the system performance and becomes
an important issue. (Astely, Dahlman, Furuskar, Jading, Lindstrom & Parkvall, 2009; Li, Li, Lee, Lee, Mazzarese, Clerckx, & Li, 2010; Sugumaran, Raghunathan & Vivekanandan, 2009; Laneman, Tse & Wornell, 2004; Sendonaris, Erkip, & Aazhang, 2003; Nosratinia, Hunter
DOI: 10.4018/ijmcmc.2014040106 Copyright © 2014, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
International Journal of Mobile Computing and Multimedia Communications, 6(2), 68-77, April-June 2014 69
& Hedayat, 2004; Ibrahim, Sadek, Su & Liu, 2008; Nosratinia & Hunter, 2007) Comparing with multiple carrier modulation schemes and MIMO schemes, the cooperative transmission is with a low implementation cost and a less complexity of the device and provides a high throughput performance. The relays station in the cooperative communication system could provide the spatially diversity gain by forwarding the source’s message to the destination similar to the multiple input multiple output (MIMO) technique (Sreng, Yanikomeroglu & Falconer, 2003; Sadek, Su & Liu, 2007). Although MIMO could also provide spatially diversity gain, the implementation cost and complexity of the device increase with the number of antennas. At the environment without multiple antennas, the cooperative communication system could work with spatial diversity. It increases the transmission data rate and provides a reliable channel capacity by employing the relay station. (Hong, Huang, Chiu, & Kuo, 2007; Bletsas, Shin & Win, 2006; Shi, Yu, Zhang, Chen & Qiu, 2007) The cooperative communication system could be the tendency for the future communications under the low cost consideration. Basically, there are three cooperative strategies used for the cooperative communications. (Yang, Lin, & Wen, 2014; Wen, Chiang, Lin, & Yang, 2014; Bletsas, Khisti, Reed & Lippman, 2006) One is Amplify-and-Forward (AF) mode, another is Decode-and-Forward (DF) mode and the other is Compress and Forward (CF) mode. The transmitted signal could be amplified and retransmit to destination with AF mode (Bletsas, Shin & Win, 2007). It is easy to be implemented with a low complexity. It is good to be used to those short distance transmissions without a serious degrading factor. On the other hand, the relay station decodes and demodulates the received signal and, then, recodes and modulates the signal to retransmit to the destination with DF mode (Laneman & Wornell, 2003; Janani, Hedayat, Hunter & Nosratinia, 2004). The relay station in CF mode does not have to decode the compressed signal. It uses the coding schemes to compress the received signal and retransmit to the destination. Generally, these three modes
could effectively improve the performance of system. Among those three modes employed in the cooperative communication systems, AF mode could be implemented with a low complexity (Sendonaris, Erkip, & Aazhang, 2003; Yang, Lin, & Wen, 2014). The relay station forwards and augments the attenuated received signal. Under the high signal to noise ratio (SNR) environments, DF mode could be more effective. The relay station decodes the received signal and, retransmits the coded signal. The transmitted signal from the relay station could be the same signal as it is sent from the source station. The cooperative communication could obtain the coding gain because of the error coding strategy. With consideration of the bandwidth efficiency, CF mode could be employed by data compressing technique. It is suitable to the band limited transmission channel (Kramer, Gastpar, & Gupta, 2005). All these cooperative modes benefits to the system with a relay station selection algorithm. Appreciate relay station selection scheme plays an important role to improve the channel capacity between the source and the destination (Kramer, Gastpar & Gupta, 2005; Bletsas, Shin & Win, 2007). Based on DF mode, under the consideration of multiple sources and multiple relay stations, the relay station selection strategy is major concerned for the multiple source-destination pairs matching to obtain a reliable high data rate transmission and a better management for base station (Bletsas, Shin & Win, 2006; Biswash & Kumar, 2013; Setyono, Alam & Eswaran, 2014). The optimization solution to relay selection could be found by using an exhaustive search method which is simply realized. However, it takes a long time for a high computational complexity when the number of relay stations and the number of destination stations increase. For the real time applications, a relay selection scheme with a low computational complexity is proposed. In the following section, the cooperative modes employed in the cooperative communication system are described with a theoretical performance evaluation. Next, the relay selection method for the maximal system throughput
Copyright © 2014, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited.
8 more pages are available in the full version of this document, which may be purchased using the "Add to Cart" button on the product's webpage: www.igi-global.com/article/relay-selection-scheme-forcooperative-communication-systems-in-fixed-decode-andforward-mode/129001?camid=4v1
This title is available in InfoSci-Journals, InfoSci-Journal Disciplines Communications and Social Science. Recommend this product to your librarian: www.igi-global.com/e-resources/libraryrecommendation/?id=2
Related Content Combined Queue Management and Scheduling Mechanism to Improve IntraUser Multi-Flow QoS in a Beyond 3,5G Network Amine Berqia, Mohamed Hanini and Abdelkrim Haqiq (2012). International Journal of Mobile Computing and Multimedia Communications (pp. 57-68).
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www.igi-global.com/chapter/towards-autonomic-infrastructures-viamobile/26537?camid=4v1a
A Study of Reusing Smartphones to Augment Elementary School Education Xun Li, Pablo J. Ortiz, Jeffrey Browne, Diana Franklin, John Y. Oliver, Roland Geyer, Yuanyuan Zhou and Frederic T. Chong (2012). International Journal of Handheld Computing Research (pp. 73-92).
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