A distributed algorithm for network power minimization in multicarrier systems

This work discusses a pricing-based distributed network power minimization approach for multicarrier networks. The aim is to allocate the powers of transmitters over available carriers, such that all Transmitter-Receiver (Tx-Rx) links meet a rate constraint and the total transmit power of the network is minimized. We seek to find a local optimum of the total transmit power by solving the Karush-Kuhn-Tucker (KKT) optimality conditions in a distributed way. Each transmitter minimizes the weighted sum of its powers over carriers, subject to a fixed rate constraint, by a weighted waterfilling principle. The weights consist of interference pricing terms received from interfered links. The exchange of information among the Tx-Rx links enables a non-selfish response that reduces mutual interference. Performance is evaluated in a Small Cell Network (SCN) and compared to a baseline non-cooperative approach. The results show that the proposed algorithm can guarantee a higher rate than the baseline approach, while reducing significantly the total transmit power of the network.

[1]  Olav Tirkkonen,et al.  Distributed algorithm for downlink resource allocation in multicarrier small cell networks , 2012, 2012 IEEE International Conference on Communications (ICC).

[2]  Francisco Facchinei,et al.  Distributed Power Allocation With Rate Constraints in Gaussian Parallel Interference Channels , 2007, IEEE Transactions on Information Theory.

[3]  Lassi Hentila,et al.  WINNER II Channel Models , 2009 .

[4]  Preben E. Mogensen,et al.  Autonomous component carrier selection: interference management in local area environments for LTE-advanced , 2009, IEEE Communications Magazine.

[5]  S. T. Chung,et al.  A game-theoretic approach to power allocation in frequency-selective gaussian interference channels , 2003, IEEE International Symposium on Information Theory, 2003. Proceedings..

[6]  S. Barbarossa,et al.  Asynchronous Iterative Waterfilling for Gaussian Frequency-Selective Interference Channels: A Unified Framework , 2007, 2007 Information Theory and Applications Workshop.

[7]  Michael L. Honig,et al.  Distributed interference compensation for wireless networks , 2006, IEEE Journal on Selected Areas in Communications.

[8]  Sangkyu Park,et al.  Dynamic Inter-Cell Interference Avoidance in Self-Organizing Femtocell Networks , 2011 .

[9]  Amir Leshem,et al.  Iterative power pricing for distributed spectrum coordination in DSL , 2009, IEEE Transactions on Communications.

[10]  Holger Claussen,et al.  An overview of the femtocell concept , 2008, Bell Labs Technical Journal.

[11]  Wei Yu,et al.  Distributed multiuser power control for digital subscriber lines , 2002, IEEE J. Sel. Areas Commun..