| 1. Bolcskei H. MIMO-OFDM wireless systems: Basics, perspectives, and challenges. IEEE Wireless Communications, 2006, 13(4): 31-37
2. Sun Q Y, Li Z M, Chai W Y, et al. A novel scheduling scheme for multiple traffic classes. The Journal of China Universities of Posts and Telecommunications, 2010, 17(supplement): 91-94
3. Li X N, Cui Q M, Mu Y L, et al. Effective resource scheduling scheme considering scheduling relevancy for downlink joint transmission. The Journal of China Universities of Posts and Telecommunications, 2012, 19(5): 16-25
4. Yi X P, Edward K S A. User scheduling for heterogeneous multiuser MIMO systems: a subspace viewpoint. IEEE Transactions on Vehicular Technology, 2011, 60(8): 4004-4013
5. Hur S H, Rao B D. Sum rate analysis of a reduced feedback OFDMA downlink system employing joint scheduling and diversity. IEEE Transactions on Signal Processing, 2012, 60(2): 862-876
6. Gang U H, Fumio I. Design of a fair scheduler exploiting multiuser diversity with feedback information reduction. IEEE Communications Letters, 2008, 12(2): 124-126
7. Jeongho J, Kyuho S, Hyang W L. Feedback reduction for multiuser OFDM systems. IEEE Transactions on Vehicular Technology, 2010, 59(1): 160-169
8. 3GPP R1-070397. CQI design and its impact to downlink performance
9. Jeon J, Son K, Lee H W, et al. Efficiency based feedback reduction. Proceedings of the IEEE International Conference on Communications (ICC’07), Jun 24-28, 2007, Glasgow, UK. Piscataway, NJ, USA: IEEE, 2007: 5891-5896
10. Gesbert D, Alouini M S. How much feedback is multi-user diversity really worth. Proceedings of the IEEE International Conference on Communications (ICC’04): Vol 1, Jun 20-24, 2004, Paris, France. Piscataway, NJ, USA: IEEE, 2004: 234-238 |
