Linear transceiver optimization in multicell MIMO based on the generalized benders decomposition
2015 (English)In: IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, 2015, p. 430-434Conference paper, Published paper (Refereed)
Abstract [en]
We study the maximum sum rate optimization problem in the multiple-input multiple-output interfering broadcast channel. The multiple-antenna transmitters and receivers are assumed to have perfect channel state information. In this setting, finding the optimal linear transceiver design is an NP-hard problem. We show that a reformulation of the problem renders the application of generalized Benders decomposition suitable. The decomposition provides us with an optimization structure which we exploit to apply two different optimization approaches. While one approach is guaranteed to converge to a local optimum of the original problem, the other approach hinges on techniques which can be promising for devising a global optimization method.
Place, publisher, year, edition, pages
2015. p. 430-434
Keywords [en]
generalized Benders decomposition, interfering broadcast channel, linear transceiver design, multiple-input single-output, sum rate optimization, Broadcasting, Channel capacity, Channel state information, Codes (symbols), Communication channels (information theory), Computational complexity, Global optimization, MIMO systems, Radio transceivers, Signal processing, Stochastic programming, Structural optimization, Transceivers, Wireless telecommunication systems, Generalized benders decompositions, Interfering broadcast channels, Linear transceiver designs, Multiple input single outputs, Sum-rate optimization, Optimization
National Category
Telecommunications
Identifiers
URN: urn:nbn:se:ri:diva-55558DOI: 10.1109/SPAWC.2015.7227074OAI: oai:DiVA.org:ri-55558DiVA, id: diva2:1582719
Conference
2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
2021-08-032021-08-032023-06-07Bibliographically approved