Analysis of channel uncertainty in ARQ relay networks

Several power allocation algorithms for cooperative relay networks are presented in the literature. These contributions assume perfect channel knowledge and capacity achieving codes. However in practice, obtaining the channel state information at a relay or at the destination is an estimation problem and can generally not be error free. The investigation of the power allocation mechanism in a wireless network due to channel imperfections is important because it can severely degrade its performance regarding throughput and bit error rate. In this paper, the impact of imperfect channel state information on the power allocation of an adaptive relay network is investigated. Moreover, a framework including Automatic Repeat reQuest (ARQ) mechanism is provided to make the power allocation mechanism robust against these channel imperfections. For this framework, the end-to-end SNR is calculated considering imperfect channel knowledge using ARQ analytically. The goal is to emphasize the impact of imperfect channel knowledge on the power allocation mechanism. In this paper, the simulation results illustrate the impact of channel uncertainties on the average outage probability, throughput, and consumed sum power for different qualities of channel estimation. It is shown that the presented framework with ARQ is extremely robust against the channel imperfections.

[1]  Mazen O. Hasna,et al.  End-to-end performance of transmission systems with relays over Rayleigh-fading channels , 2003, IEEE Trans. Wirel. Commun..

[2]  Johannes B. Huber,et al.  Information processing in ideal coding schemes with code-symbol decoding , 2005, Proceedings. International Symposium on Information Theory, 2005. ISIT 2005..

[3]  Brian L. Hughes,et al.  Receive Diversity Revisited: Correlation, Coupling and Noise , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[4]  Randall Berry,et al.  Throughput optimal control of cooperative relay networks , 2005, ISIT.

[5]  Muriel Médard,et al.  The effect upon channel capacity in wireless communications of perfect and imperfect knowledge of the channel , 2000, IEEE Trans. Inf. Theory.

[6]  Branka Vucetic,et al.  On the Performance of a Simple Adaptive Relaying Protocol for Wireless Relay Networks , 2008, VTC Spring 2008 - IEEE Vehicular Technology Conference.

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

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

[9]  Ho Van Khuong.  Exact Outage Analysis of Underlay Cooperative Cognitive Networks with Reactive Relay Selection Under Imperfect Channel Information , 2015, Wirel. Pers. Commun..

[10]  B. Ooi,et al.  Effect of active medium inhomogeneity on lasing characteristics of InAs/InP quantum-dash lasers , 2010, 2010 Photonics Global Conference.

[11]  Amir Ali Basri,et al.  Wireless Communication over Fading Channels with Imperfect Channel Estimates , 2009 .

[12]  Yueming Cai,et al.  Impact of channel estimation errors in amplify-and-forward cooperative transmission , 2010, WCSP.

[13]  Lajos Hanzo,et al.  Relay selection schemes relying on adaptive modulation and imperfect channel knowledge for cooperative networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[14]  Alexander M. Haimovich,et al.  Decode-and-forward cooperative diversity with power allocation in wireless networks , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

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

[16]  Walaa Hamouda,et al.  AF turbo-coded selective relaying with imperfect channel state information , 2014, 2014 IEEE International Conference on Communications (ICC).

[17]  Volker Kühn,et al.  Power Optimization in Adaptive Relay Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[18]  Randall Berry,et al.  Throughput Optimal Control of Cooperative Relay Networks , 2005, IEEE Transactions on Information Theory.

[19]  Lixiang Li,et al.  A fuzzy adaptive chaotic ant swarm optimization for economic dispatch , 2012 .

[20]  Branka Vucetic,et al.  Distributed Turbo Coding With Soft Information Relaying in Multihop Relay Networks , 2006, IEEE Journal on Selected Areas in Communications.

[21]  Halim Yanikomeroglu,et al.  WLC41-3: On the Performance of Cooperative Wireless Fixed Relays in Asymmetric Channels , 2006, IEEE Globecom 2006.

[22]  Sami Muhaidat,et al.  Amplify-and-Forward Selection Cooperation with Channel Estimation Error , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[23]  Lixiang Li,et al.  A hybrid FCASO-SQP method for solving the economic dispatch problems with valve-point effects , 2012 .

[24]  Gordon L. Stüber,et al.  Channel Estimation for Amplify and Forward Relay Based Cooperation Diversity Systems , 2007, IEEE Transactions on Wireless Communications.

[25]  Murat Uysal,et al.  Impact of imperfect channel estimation on the performance of amplify-and-forward relaying , 2009, IEEE Transactions on Wireless Communications.

[26]  Ling Xu,et al.  Swarm Intelligence-based Power Allocation and Relay Selection Algorithm for wireless cooperative network , 2016, KSII Trans. Internet Inf. Syst..

[27]  Min Chen,et al.  Distributed power allocation for parallel relay networks , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[28]  Daesik Hong,et al.  Effect of Channel-Estimation Error on BER Performance in Cooperative Transmission , 2009, IEEE Transactions on Vehicular Technology.