Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32759
MIMO Broadcast Scheduling for Weighted Sum-rate Maximization

Authors: Swadhin Kumar Mishra, Sidhartha Panda, C. Ardil

Abstract:

Multiple-Input-Multiple-Output (MIMO) is one of the most important communication techniques that allow wireless systems to achieve higher data rate. To overcome the practical difficulties in implementing Dirty Paper Coding (DPC), various suboptimal MIMO Broadcast (MIMO-BC) scheduling algorithms are employed which choose the best set of users among all the users. In this paper we discuss such a sub-optimal MIMO-BC scheduling algorithm which employs antenna selection at the receiver side. The channels for the users considered here are not Identical and Independent Distributed (IID) so that users at the receiver side do not get equal opportunity for communication. So we introduce a method of applying weights to channels of the users which are not IID in such a way that each of the users gets equal opportunity for communication. The effect of weights on overall sum-rate achieved by the system has been investigated and presented.

Keywords: Antenna selection, Identical and Independent Distributed (IID), Sum-rate capacity, Weighted sum rate.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1073104

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1544

References:


[1] I.E. Telatar, "Capacity of multi-antenna Gaussian channels", European Trans. Telecom., Vol. 10, No. 6, pp. 585-595, Nov. 1999.
[2] G. Caire, S.Shamai, "On the achievable throughput of a multiantenna Gaussian broadcast Channel" IEEE Trans. Inf. Theory, Vol. 43, pp.1691-1706, Jul 2003.
[3] S. Vishwanath, N. Jindal, A. Goldsmith, "Duality, achievable rates & sum-rate capacity of Gaussian MIMO broadcast channel" IEEE Trans. Inf. Theory. Vol. 49, No 10, pp 2658-2668, Oct 2003
[4] M. Costa, "Writing on Dirty paper" IEEE Trans. Inf. Theory. Vol. IT-29, No. 3, pp 439-441, May 1983.
[5] Alireza Bayesteh, Amir K. Handani, "On the user selection for MIMO Broadcast Channel," IEEE Trans. Inf. Theory., Vol. 54, pp. 1086-1107, March 2008.
[6] T. Yoo, A. Goldsmith, "On the optimality of Multi-Antenna broadcasing scheduling using Zero-forcing Beamforming," IEEE J. Select. Areas. Commun (JSAC), Special Issues on 4G Wireless Systems, Vol. 24, Issue 3, pp. 528-541, Mar 2006
[7] Mohsen Eslami, Witold A. Krzymein, "Scheduling for MIMO Broadcast Channels with Linear Receivers and Partial State Information". IEEE Conference on Vehicular Technology, VTC Spring 2008, pp. 2467-2471, May 2008.
[8] Adeel Razi,Jinhong Yuan., "Feedback reduction Schemes for MIMO Broadcast Channels," IEEE Transl. J. Magn. Jpn., Vol. 2, Aug. 1987, pp. 740-741.
[9] P. Viswanath, D.N.C. Tse, R. Laroia, "Opprotunity beamforming using Dumb antenna," IEEE Trans. Info. Theory, Vol. 48, No. 6, pp. 1277- 1294, June 2002.
[10] Wei Zhang, Khaled B. Lateif, "MIMO Broadcast Scheduling with imited Feedback," IEEE Select.Areas Commun, Vol. 25, pp. 1457-1467, Sep. 2007.