Revision as of 14:04, 14 September 2017 edit 50.84.151.42 (talk) →Precoding in Simple Words: amended "channel side information" to recite "channel state information" in the second sentence of the first paragraph of the section. ← Previous edit		Revision as of 15:13, 26 January 2018 edit undo KolbertBot (talk \| contribs) Bots 1,166,042 edits m Bot: HTTP→HTTPS (v481) Next edit →
Line 46: Also for multiuser MIMO system setup, another approach has been used to reformulate the weighted sum rate optimization problem to a weighted sum MSE problem with additional optimization MSE weights for each symbol in.<ref>T. E. Bogale and L. Vandendorpe, [https://dx.doi.org/10.1109/TSP.2011.2179538 Weighted sum rate optimization for downlink multiuser MIMO coordinated base station systems: Centralized and distributed algorithms] IEEE Trans. Signal Process., vol. 60, no. 4, pp. 1876 – 1889, Dec. 2011.</ref> However, still this work is not able to solve this problem optimally (i.e., its solution is suboptimal). On the other hand, duality approach also considered in <ref>T. E. Bogale and L. Vandendorpe, [https://dx.doi.org/10.1109/ICASSP.2012.6288607 Weighted sum rate optimization for downlink multiuser MIMO systems with per antenna power constraint:Downlink-uplink duality approach] IEEE International Conference On Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, 25 – 30 Mar. 2012, pp. 3245 – 3248.</ref> and <ref>T. E. Bogale and L. Vandendorpe, [https://dx.doi.org/10.1109/TSP.2013.2272554 Linear transceiver design for downlink multiuser MIMO systems: Downlink-interference duality approach], IEEE Trans. Sig. Process., vol. 61, no. 19, pp. 4686 – 4700, Oct. 2013.</ref> to get sub-optimal solution for weighted sum rate optimization. Note that the optimal linear precoding can be computed using monotonic optimization algorithms,<ref>W. Utschick and J. Brehmer, [https://dx.doi.org/10.1109/TSP.2011.2182343 Monotonic optimization framework for coordinated beamforming in multicell networks], IEEE Transactions on Signal Processing, vol. 60, no. 4, pp. 1899–1909, 2012.</ref><ref>E. Björnson, G. Zheng, M. Bengtsson, and B. Ottersten, [~~http~~https://arxiv.org/pdf/1104.5240v4 Robust monotonic optimization framework for multicell MISO systems], IEEE Transactions on Signal Processing, vol. 60, no. 5, pp. 2508–2523, 2012.</ref> but the computational complexity scales exponentially fast with the number of users. These algorithms are therefore only useful for benchmarking in small systems. ===Linear precoding with limited channel state information===

Precoding: Difference between revisions