Globally optimal resource allocation for achieving maximum weighted sum rate

GLOBECOM - IEEE Global Telecommunications Conference

Volumn , Issue , 2010, Pages

  Eriksson, Kristoffer ^a   Shi, Shuying ^a   Vucic, Nikola ^b   Schubert, Martin ^b   Larsson, Erik G ^a  

^a LINKÖPING UNIVERSITY   (Sweden)

^b FRAUNHOFER HEINRICH HERTZ INSTITUTE   (Germany)

Author keywords

DC programming; Interference mitigation; MIMO systems; Optimal resource management; Power control

Indexed keywords

BRANCH AND BOUND METHOD; FUNCTIONS; POWER CONTROL; RESOURCE ALLOCATION;

DIFFERENCE OF CONVEX FUNCTION PROGRAMMING; DIFFERENCE OF CONVEX FUNCTIONS; GENERAL OPTIMIZATIONS; INTERFERENCE FUNCTIONS; INTERFERENCE MITIGATION; OPTIMAL RESOURCE ALLOCATION; OPTIMAL RESOURCE MANAGEMENT; POWER; POWER-CONTROL; WEIGHTED SUM-RATE;

MIMO SYSTEMS;

EID: 79551641591     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/GLOCOM.2010.5683826     Document Type: Conference Paper

References (13)

1. R. D. Yates, "A framework for uplink power control in cellular radio systems," IEEE J. Sel. Areas Commun., vol. 13, no. 7, pp. 1341-1347, Sept. 1995.
2. H. Boche and M. Schubert, "A unifying approach to interference modeling for wireless networks," Signal Processing, IEEE Transactions on, vol. 58, no. 6, pp. 3282-3297, June 2010.
3. H. Boche and M. Schubert, "Concave and convex interference functions - General characterizations and applications," IEEE Trans. Signal Process., vol. 56, no. 10, pp. 4951-4965, Oct. 2008.
4. K. Eriksson, S. Shi, N. Vucic, M. Schubert, and E. G. Larsson, "Difference-of-convex optimization approach to weighted sum-rate maximization in wireless networks," in preparation.
5. H. Boche and M. Schubert, "A superlinearly and globally convergent algorithm for power control and resource allocation with general interference functions," IEEE/ACM Trans. Networking, vol. 16, no. 2, pp. 383-395, Apr. 2008.
6. S. Hayashi and Z.-Q. Luo, "Spectrum management for interference-limited multiuser communication systems," IEEE Trans. Inf. Theory, vol. 55, no. 3, pp. 1153-1175, Mar. 2009.
7. M. Stojnic, H. Vikalo, and B. Hassibi, "Rate maximization in multiantenna broadcast channels with linear preprocessing," IEEE Trans. Wireless Commun., vol. 5, no. 9, pp. 2338-2342, Sept. 2006.
8. S. Shi, M. Schubert, and H. Boche, "Rate optimization for multiuser MIMO systems with linear processing," IEEE Trans. Signal Process., vol. 56, no. 8, pp. 4020-4030, Aug. 2008.
9. N. Vucic, S. Shi, and M. Schubert, "DC programming approach for resource allocation in wireless networks," in Proc. RAWNET 2010, Avignon, France.
10. C. W. Tan, M. Chiang, and R. Srikant, "Maximizing sum rate and minimizing MSE on multiuser downlink: Optimality, fast algorithms and equivalence via max-min SIR," in Proc. ISIT 2009, Seoul, Korea, June 2009.
11. R. Horst, T. Q. Phong, Ng. V. Thoai, and J. de Vries, "On solving a D.C. programming problem by a sequence of linear programs," Journal of Global Optimization, vol. 1, pp. 183-203, 1991.
12. S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, New York, NY, USA, 2004.
13. R. Horst, P. M. Pardalos, and Ng. V. Thoai, Introduction to Global Optimization, Kluwer Academic Publishers, Dordrecht, The Netherlands, 2000.