Relaying protocols for two colocated users

We consider a wireless network where a remote source sends information to one of two colocated users, and where the second user can serve as a relay. The source's transmission is subjected to quasi-static flat Rayleigh fading, while the transmission of the relay experiences a fixed amplitude gain with a uniform random phase, capturing its close proximity to the destination. All communications share the same time/bandwith resources, and perfect channel state information is known only to the receivers. We propose relaying protocols which are based on Wyner-Ziv quantization at the relay, and demonstrate their high efficiency (in terms of expected throughput) with respect to previously reported relaying schemes based on amplify-and-forward and decode-and-forward. A salient feature of these protocols is that the relay need not know the actual fading gain experienced by the destination in order to perform the quantization. We also consider a hybrid amplify-quantize-decode-and-forward scheme which exhibits superior performance.

[1]  Michael Gastpar,et al.  Cooperative strategies and capacity theorems for relay networks , 2005, IEEE Transactions on Information Theory.

[2]  Helmut Bölcskei,et al.  Performance limits of amplify-and-forward based fading relay channels , 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

[3]  E. Meulen,et al.  Three-terminal communication channels , 1971, Advances in Applied Probability.

[4]  Elza Erkip,et al.  Cooperative information transmission in wireless networks , 2002 .

[5]  Philip Schniter,et al.  Achievable diversity-vs-multiplexing tradeoffs in half-duplex cooperative channels , 2004, Information Theory Workshop.

[6]  Shlomo Shamai,et al.  The intersymbol interference channel: lower bounds on capacity and channel precoding loss , 1996, IEEE Trans. Inf. Theory.

[7]  A. Host-Madsen,et al.  A new achievable rate for cooperative diversity based on generalized writing on dirty paper , 2003, IEEE International Symposium on Information Theory, 2003. Proceedings..

[8]  Adrian Agustin,et al.  Decode-and-Forward Protocol for Cooperative Diversity in Multi-Antenna Wireless Networks , 2004 .

[9]  A. Host-Madsen,et al.  On the achievable rate for receiver cooperation in ad-hoc networks , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[10]  Shlomo Shamai,et al.  A broadcast strategy for the Gaussian slowly fading channel , 1997, Proceedings of IEEE International Symposium on Information Theory.

[11]  Aria Nosratinia,et al.  Cooperation diversity through coding , 2002, Proceedings IEEE International Symposium on Information Theory,.

[12]  Abbas El Gamal,et al.  Capacity theorems for the relay channel , 1979, IEEE Trans. Inf. Theory.

[13]  Neri Merhav,et al.  On successive refinement for the Wyner-Ziv problem , 2004, IEEE Transactions on Information Theory.

[14]  Abbas El Gamal,et al.  On Reliable Communication over Additive White Gaussian Noise Relay Channels , 2004 .

[15]  Anders Høst-Madsen,et al.  Capacity bounds and power allocation for wireless relay channels , 2005, IEEE Transactions on Information Theory.

[16]  Peter Vanroose,et al.  Uniquely decodable codes for deterministic relay channels , 1992, IEEE Trans. Inf. Theory.

[17]  Shuangqing Wei,et al.  Diversity–Multiplexing Tradeoff of Asynchronous Cooperative Diversity in Wireless Networks , 2007, IEEE Transactions on Information Theory.

[18]  Aria Nosratinia,et al.  Diversity through coded cooperation , 2006, IEEE Transactions on Wireless Communications.

[19]  Shlomo Shamai,et al.  Transmitting to colocated users in wireless ad hoc and sensor networks , 2005, IEEE Transactions on Information Theory.

[20]  Ashutosh Sabharwal,et al.  Lower Bounds on the Capacity of Gaussian Relay Channel , 2004 .

[21]  Shlomo Shamai,et al.  Relaying protocols for two co-located users , 2005, ISIT.

[22]  Elza Erkip,et al.  User cooperation diversity. Part II. Implementation aspects and performance analysis , 2003, IEEE Trans. Commun..

[23]  A. El Gamal,et al.  Minimum energy communication over a relay channel , 2003, IEEE International Symposium on Information Theory, 2003. Proceedings..

[24]  Hamid Aghvami,et al.  A resource allocation strategy for distributed MIMO multi-hop communication systems , 2004, IEEE Communications Letters.

[25]  Hesham El Gamal,et al.  On the Achievable Diversity-vs-Multiplexing Tradeoff in Cooperative Channels , 2004 .

[26]  Abbas El Gamal,et al.  On the capacity of AWGN relay channels with linear relaying functions , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[27]  Gregory W. Wornell,et al.  Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks , 2003, IEEE Trans. Inf. Theory.

[28]  Junshan Zhang,et al.  Capacity Bounds and Power Allocation for the Wireless Relay Channel , 1990 .

[29]  Matthew C. Valenti,et al.  Exploiting macrodiversity in dense multihop networks and relay channels , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[30]  Anders Høst-Madsen,et al.  Capacity bounds for Cooperative diversity , 2006, IEEE Transactions on Information Theory.

[31]  Urbashi Mitra,et al.  Capacity of ad-hoc networks with node cooperation , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[32]  Bo Wang,et al.  On the capacity of MIMO relay channels , 2005, IEEE Transactions on Information Theory.

[33]  R. Gallager,et al.  The Gaussian parallel relay network , 2000, 2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060).

[34]  Stefania Sesia Multistage trellis quantization and its applications , 2004 .

[35]  Sergio D. Servetto,et al.  Lattice Quantization With Side Information: Codes, Asymptotics, and Applications in Sensor Networks , 2006, IEEE Transactions on Information Theory.

[36]  Shlomo Shamai A broadcast approach for the multiple-access slow fading channel , 2000, 2000 IEEE International Symposium on Information Theory (Cat. No.00CH37060).

[37]  Shlomo Shamai,et al.  Communicating to colocated ad-hoc receiving nodes in a fading environment , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[38]  M. Yuksel,et al.  Broadcast strategies for the fading relay channel , 2004, IEEE MILCOM 2004. Military Communications Conference, 2004..

[39]  Elza Erkip,et al.  Diversity gains and clustering in wireless relaying , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[40]  Sanjeev R. Kulkarni,et al.  Degraded Gaussian multirelay channel: capacity and optimal power allocation , 2004, IEEE Transactions on Information Theory.

[41]  Sriram Vishwanath,et al.  Cooperative Communication in Sensor Networks : Relay Channels with Correlated Sources , .

[42]  Helmut Bölcskei,et al.  Fading relay channels: performance limits and space-time signal design , 2004, IEEE Journal on Selected Areas in Communications.

[43]  Helmut Bölcskei,et al.  Capacity scaling laws in MIMO relay networks , 2006, IEEE Transactions on Wireless Communications.

[44]  Theodor D. Popescu Digital processing of random signals. theory and methods , 1996 .

[45]  Youjian Liu,et al.  Optimal rate allocation for superposition coding in quasi-static fading channels , 2002, Proceedings IEEE International Symposium on Information Theory,.

[46]  Gregory W. Wornell,et al.  Cooperative diversity in wireless networks: Efficient protocols and outage behavior , 2004, IEEE Transactions on Information Theory.

[47]  G. Kramer Models and Theory for Relay Channels with Receive Constraints , 2004 .

[48]  Shlomo Shamai,et al.  Information rates for a discrete-time Gaussian channel with intersymbol interference and stationary inputs , 1991, IEEE Trans. Inf. Theory.

[49]  Georgios B. Giannakis,et al.  Achievable rates in low-power relay links over fading channels , 2005, IEEE Transactions on Communications.

[50]  Zaher Dawy,et al.  The General Gaussian Relay Channel: Analysis and Insights , 2004 .

[51]  Dennis Goeckel,et al.  Asynchronous cooperative diversity , 2006, IEEE Transactions on Wireless Communications.

[52]  Elza Erkip,et al.  Diversity in relaying protocols with amplify and forward , 2003, GLOBECOM '03. IEEE Global Telecommunications Conference (IEEE Cat. No.03CH37489).

[53]  Aria Nosratinia,et al.  Coded cooperation in wireless communications: space-time transmission and iterative decoding , 2004, IEEE Transactions on Signal Processing.

[54]  Elza Erkip,et al.  Increasing uplink capacity via user cooperation diversity , 1998, Proceedings. 1998 IEEE International Symposium on Information Theory (Cat. No.98CH36252).

[55]  Roy D. Yates,et al.  Forwarding strategies for Gaussian parallel-relay networks , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[56]  John B. Nicholas,et al.  Exploiting Distributed Spatial Diversity in Wireless Networks , 2000 .

[57]  Shlomo Shamai,et al.  A broadcast approach for a single-user slowly fading MIMO channel , 2003, IEEE Trans. Inf. Theory.

[58]  Aria Nosratinia,et al.  The outage behavior of coded cooperation , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

[59]  Abbas El Gamal,et al.  Capacity of a class of relay channels with orthogonal components , 2005, IEEE Transactions on Information Theory.

[60]  James L. Massey,et al.  Capacity of the discrete-time Gaussian channel with intersymbol interference , 1988, IEEE Trans. Inf. Theory.

[61]  G. Fettweis,et al.  On the Performance of Cooperative Amplify-and-Forward Relay Networks , 2004 .

[62]  Aaron D. Wyner,et al.  The rate-distortion function for source coding with side information at the decoder , 1976, IEEE Trans. Inf. Theory.

[63]  Helmut Bölcskei,et al.  Realizing MIMO gains without user cooperation in large single-antenna wireless networks , 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..