Multi-layer transmission and hybrid relaying for relay channels with multiple out-of-band relays
ABSTRACTIn this work, a relay channel is studied in which a source encoder communicates with a destination decoder through a number of out‐of‐band relays that are connected to the decoder through capacity‐constrained digital backhaul links. This model is motivated by the uplink of cloud radio access...
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| Vydané v: | Transactions on emerging telecommunications technologies Ročník 25; číslo 9; s. 895 - 904 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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Blackwell Publishing Ltd
01.09.2014
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| ISSN: | 2161-3915, 2161-3915 |
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| Abstract | ABSTRACTIn this work, a relay channel is studied in which a source encoder communicates with a destination decoder through a number of out‐of‐band relays that are connected to the decoder through capacity‐constrained digital backhaul links. This model is motivated by the uplink of cloud radio access networks. In this scenario, a novel transmission and relaying strategies are proposed in which multi‐layer transmission is used, on the one hand, to adaptively leverage the different decoding capabilities of the relays and, on the other hand, to enable hybrid decode‐and‐forward and compress‐and‐forward relaying. The hybrid relaying strategy allows each relay to forward part of the decoded messages and a compressed version of the received signal to the decoder. The problem of optimising the power allocation across the layers and the compression test channels is formulated. Albeit non‐convex, the derived problem is found to belong to the class of so‐called complementary geometric programs. Using this observation, an iterative algorithm based on the homotopy method is proposed that achieves a stationary point of the original problem by solving a sequence of geometric programming, and thus convex, problems. Numerical results are provided that show the effectiveness of the proposed multi‐layer hybrid scheme in achieving performance close to a theoretical (cutset) upper bound. Copyright © 2013 John Wiley & Sons, Ltd.
A relay channel is studied in which a source encoder communicates with a destination decoder through a number of out‐of‐band relays that are connected to the decoder through capacity‐constrained digital backhaul links. Novel transmission and relaying strategies are proposed in which multi‐layer transmission is used to adaptively leverage the different decoding capabilities of the relays and to enable hybrid decode‐and‐forward and compress‐and‐forward relaying. |
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| AbstractList | In this work, a relay channel is studied in which a source encoder communicates with a destination decoder through a number of out‐of‐band relays that are connected to the decoder through capacity‐constrained digital backhaul links. This model is motivated by the uplink of cloud radio access networks. In this scenario, a novel transmission and relaying strategies are proposed in which multi‐layer transmission is used, on the one hand, to adaptively leverage the different decoding capabilities of the relays and, on the other hand, to enable hybrid decode‐and‐forward and compress‐and‐forward relaying. The hybrid relaying strategy allows each relay to forward part of the decoded messages and a compressed version of the received signal to the decoder. The problem of optimising the power allocation across the layers and the compression test channels is formulated. Albeit non‐convex, the derived problem is found to belong to the class of so‐called complementary geometric programs. Using this observation, an iterative algorithm based on the homotopy method is proposed that achieves a stationary point of the original problem by solving a sequence of geometric programming, and thus convex, problems. Numerical results are provided that show the effectiveness of the proposed multi‐layer hybrid scheme in achieving performance close to a theoretical (cutset) upper bound. Copyright © 2013 John Wiley & Sons, Ltd. ABSTRACTIn this work, a relay channel is studied in which a source encoder communicates with a destination decoder through a number of out‐of‐band relays that are connected to the decoder through capacity‐constrained digital backhaul links. This model is motivated by the uplink of cloud radio access networks. In this scenario, a novel transmission and relaying strategies are proposed in which multi‐layer transmission is used, on the one hand, to adaptively leverage the different decoding capabilities of the relays and, on the other hand, to enable hybrid decode‐and‐forward and compress‐and‐forward relaying. The hybrid relaying strategy allows each relay to forward part of the decoded messages and a compressed version of the received signal to the decoder. The problem of optimising the power allocation across the layers and the compression test channels is formulated. Albeit non‐convex, the derived problem is found to belong to the class of so‐called complementary geometric programs. Using this observation, an iterative algorithm based on the homotopy method is proposed that achieves a stationary point of the original problem by solving a sequence of geometric programming, and thus convex, problems. Numerical results are provided that show the effectiveness of the proposed multi‐layer hybrid scheme in achieving performance close to a theoretical (cutset) upper bound. Copyright © 2013 John Wiley & Sons, Ltd. A relay channel is studied in which a source encoder communicates with a destination decoder through a number of out‐of‐band relays that are connected to the decoder through capacity‐constrained digital backhaul links. Novel transmission and relaying strategies are proposed in which multi‐layer transmission is used to adaptively leverage the different decoding capabilities of the relays and to enable hybrid decode‐and‐forward and compress‐and‐forward relaying. |
| Author | Simeone, Osvaldo Sahin, Onur Shamai (Shitz), Shlomo Park, Seok-Hwan |
| Author_xml | – sequence: 1 givenname: Seok-Hwan surname: Park fullname: Park, Seok-Hwan email: Correspondence: S-H. Park, Center for Wireless Communications and Signal Processing Research (CWCSPR), ECE Department, New Jersey Institute of Technology (NJIT), Newark, NJ, 07102, USA. ., seok-hwan.park@njit.edu organization: Center for Wireless Communications and Signal Processing Research (CWCSPR), ECE Department, New Jersey Institute of Technology (NJIT), NJ, 07102, Newark, USA – sequence: 2 givenname: Osvaldo surname: Simeone fullname: Simeone, Osvaldo organization: Center for Wireless Communications and Signal Processing Research (CWCSPR), ECE Department, New Jersey Institute of Technology (NJIT), NJ, 07102, Newark, USA – sequence: 3 givenname: Onur surname: Sahin fullname: Sahin, Onur organization: InterDigital Inc., NY, 11747, Melville, USA – sequence: 4 givenname: Shlomo surname: Shamai (Shitz) fullname: Shamai (Shitz), Shlomo organization: Department of Electrical Engineering, Technion, 32000, Haifa, Israel |
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Are yesterday's information-theoretic fading models and performance metrics adequate for the analysis of today's wireless systems? IEEE Communications Magazine 2012; 50(11): 210-217. Rost P, Fettweis G. Analysis of decode-and-forward, compress-and-forward and combined protocols for multiterminal half-duplex relay networks with random schedules. Transactions on Emerging Telecommunications Technologies 2012; 24: 196-211. DOI: 10.1002/ett.2579. Weeraddana PC, Codreanu M, Latva-Aho M, Ephremides A, Fischione C. Weighted sum-rate maximization in wireless networks: a review. Foundations and Trends in Networking 2012; 6(1-2): 1-163. Cover TM. Comments on broadcast channels. IEEE Transactions on Information Theory 1998; 44(6): 2524-2530. Sanderovich A, (Shitz) Shamai S, Steinberg Y, Kramer G. Communication via decentralized processing. IEEE Transactions on Information Theory 2008; 54(7): 3008-3023. Nazer B, Gastpar M. The case for structured random codes in network capacity theorems. 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| References_xml | – reference: Nazer B, Gastpar M. The case for structured random codes in network capacity theorems. European Transactions on Telecommunications 2008; 19: 455-474. DOI: 10.1002/ett.1284. – reference: Ikki SS. Optimisation study of power allocation and relay location for amplify-and-forward systems over Nakagami-m fading channels. Transactions on Emerging Telecommunications Technologies 2012. DOI: 10.1002/ett.2571. – reference: Tian C, Chen J. Remote vector Gaussian source coding with decoder side information. IEEE Transactions on Information Theory 2009; 55(10): 4676-4680. – reference: Cover TM. Comments on broadcast channels. IEEE Transactions on Information Theory 1998; 44(6): 2524-2530. – reference: del Coso A, Ibars C. Achievable rates for the AWGN channel with multiple parallel relays. IEEE Transactions on Wireless Communications 2009; 8(5): 2524-2534. – reference: Ong L, Johnson SJ, Kellett CM. On the capacity of the binary-symmetric parallel-relay network. Transactions on Emerging Telecommunications Technologies 2012. DOI: 10.1002/ett.2561. – reference: Marsch P, Raaf B, Szufarska A, Mogensen P, Guan H, Farber M, Redana S, Pedersen K, Kolding T. Future mobile communication networks: challenges in the design and operation. IEEE Vehicular Technology Magazine 2012; 7(1): 16-23. – reference: Chechik G, Globerson A, Tishby N, Weiss Y. Information bottleneck for Gaussian variables. Journal of Machine Learning Research 2005; 6: 165-188. – reference: Park S-H, Simeone O, Sahin O, (Shitz) Shamai S. Robust and efficient distributed compression for cloud radio access networks. IEEE Transactions on Vehicular Technology 2013; 62(2): 692-703. – reference: Simeone O, Levy N, Sanderovich A, Somekh O, Zaidel BM, Poor HV, (Shitz) Shamai S. Cooperative wireless cellular systems: an information-theoretic view. Foundations and Trends in Communications and Information Theory 2012; 8(1-2): 1-177. – reference: del Coso A, Simoens S. Distributed compression for MIMO coordinated networks with a backhaul constraint. IEEE Transactions on Wireless Communications 2009; 8(9): 4698-4709. – reference: (Shitz) Shamai S, Steiner A. A broadcast approach for a single-user slowly fading MIMO channel. IEEE Transactions on Information Theory 2003; 49(10): 2617-2635. – reference: Chu S-I, Chang H-C, Lee H-P. Asymptotic performance of amplify-and-forward cooperative diversity networks with the Nth best relay over Rician fading channels. Transactions on Emerging Telecommunications Technologies 2012; 23: 327-333. DOI: 10.1002/ett.1534. – reference: Boyd S, Vandenberghe L. Convex Optimization, Cambridge University Press: New York, 2004. – reference: Sanderovich A, Somekh O, Poor HV, (Shitz) Shamai S. Uplink macro diversity of limited backhaul cellular network. IEEE Transactions on Information Theory 2009; 55(8): 3457-3478. – reference: Zhang X, Chen J, Wicker SB, Berger T. Successive decoding in multiuser information theory. IEEE Transactions on Information Theory 2007; 53(6): 2246-2254. – reference: Gamal AE, Kim Y-H. Network Information Theory. Cambridge University Press: New York, 2011. – reference: Jiang J, Xin Y, Poor HV. Achievable rates for discrete memoryless relay channels with generalised feedback. Transactions on Emerging Telecommunications Technologies Dec. 2012; 24: 212-231. DOI: 10.1002/ett.2596. – reference: Weeraddana PC, Codreanu M, Latva-Aho M, Ephremides A, Fischione C. Weighted sum-rate maximization in wireless networks: a review. Foundations and Trends in Networking 2012; 6(1-2): 1-163. – reference: Xue F, Sandhu S. Cooperation in a half-duplex Gaussian diamond relay channel. IEEE Transactions on Information Theory 2007; 53(10): 3806-3814. – reference: Lozano A, Jindal N. Are yesterday's information-theoretic fading models and performance metrics adequate for the analysis of today's wireless systems? IEEE Communications Magazine 2012; 50(11): 210-217. – reference: Cover T, Thomas J. Elements of Information Theory, 1st ed., Wiley Series in Telecomm, 1991. – reference: Whiting PA, Yeh EM. Broadcasting over uncertain channels with decoding delay constraints. IEEE Transactions on Information Theory 2006; 52(3): 904-921. – reference: Rost P, Fettweis G. Analysis of decode-and-forward, compress-and-forward and combined protocols for multiterminal half-duplex relay networks with random schedules. Transactions on Emerging Telecommunications Technologies 2012; 24: 196-211. DOI: 10.1002/ett.2579. – reference: Wyner AD, Ziv J. The rate-distortion function for source coding with side information at the decoder. IEEE Transactions on Information Theory 1976; 22(1): 1-10. – reference: Sanderovich A, (Shitz) Shamai S, Steinberg Y, Kramer G. Communication via decentralized processing. IEEE Transactions on Information Theory 2008; 54(7): 3008-3023. – reference: Nair C, Gamal AE. The capacity region of a class of 3-receiver broadcast channels with degraded message sets. 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| Snippet | ABSTRACTIn this work, a relay channel is studied in which a source encoder communicates with a destination decoder through a number of out‐of‐band relays that... In this work, a relay channel is studied in which a source encoder communicates with a destination decoder through a number of out‐of‐band relays that are... |
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| Title | Multi-layer transmission and hybrid relaying for relay channels with multiple out-of-band relays |
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