Relay Selection and Resource Allocation in Cognitive Two-Way Relay Networks Based on Bipartite Matching Algorithm

A new relay selection and resource allocation scheme for cognitive two-way relay networks based on bipartite matching algorithm is proposed in this work. We assume a primary- secondary network such that both primary and secondary users utilize the licensed spectrum, simultaneously. In this scenario, some of cognitive radio (CR) nodes are selected by matching algorithm as relays to provide a bidirectional relaying scheme for primary transmission. In the first step of the proposed scenario, a power updating algorithm is used to give the maximum signal-to-interference-plus-noise ratio (SINR) in the CR nodes, while keeping the minimum SINR level at the primary transceivers. Then, in the second step, Hungarian algorithm is used for channel selection in order to maximize the SINR of the CR nodes. Simulation results show that the proposed algorithm improves the throughputs of both primary and secondary networks in comparison with conventional power allocation and relay selection schemes. Copyright © 2012 Praise Worthy Prize S.r.l. - All rights reserved.

[1]  Tobias J. Oechtering,et al.  Bidirectional regenerative half-duplex relaying using relay selection , 2008, IEEE Transactions on Wireless Communications.

[2]  Harold W. Kuhn,et al.  The Hungarian method for the assignment problem , 1955, 50 Years of Integer Programming.

[3]  RankovBoris,et al.  Spectral efficient protocols for half-duplex fading relay channels , 2007 .

[4]  Sang Joon Kim,et al.  Comparison of bi-directional relaying protocols , 2008, 2008 IEEE Sarnoff Symposium.

[5]  Ardalan Alizadeh,et al.  Relay Selection and Resource Allocation in LTE-Advanced Cognitive Relay Networks , 2011 .

[6]  Armin Wittneben,et al.  Spectral efficient protocols for half-duplex fading relay channels , 2007, IEEE Journal on Selected Areas in Communications.

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

[8]  Ardalan Alizadeh,et al.  Optimal beamforming in cognitive two-way relay networks , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[9]  Joseph Mitola,et al.  Cognitive radio: making software radios more personal , 1999, IEEE Wirel. Commun..

[10]  S. Srinivasa,et al.  The Throughput Potential of Cognitive Radio: A Theoretical Perspective , 2006, 2006 Fortieth Asilomar Conference on Signals, Systems and Computers.

[11]  Aylin Yener,et al.  Relay assisted F/TDMA ad hoc networks: node classification, power allocation and relaying strategies , 2007, IEEE Transactions on Communications.

[12]  Simon Haykin,et al.  Cognitive radio: brain-empowered wireless communications , 2005, IEEE Journal on Selected Areas in Communications.

[13]  Hamid Aghvami,et al.  Challenges of real-time secondary usage of spectrum , 2008, Comput. Networks.

[14]  Ying-Chang Liang,et al.  Power Control and Channel Allocation in Cognitive Radio Networks with Primary Users' Cooperation , 2010, IEEE Transactions on Mobile Computing.

[15]  Eranda C Ela,et al.  Assignment Problems , 1964, Comput. J..