© The Institution of Engineering and Technology
The max–min fairness (MMF) strategy has been widely employed to manage wireless networks since it guarantees fairness among users. However, with a large number of users awaiting service, the network tends to be congested and the qualityofservice (QoS) will degrade substantially. This motivates us to study the MMF problem jointly with the consideration of admission control. Specifically, the authors consider a downlink network consisting of a multiantenna base station (BS) and multiple singleantenna users. By jointly optimising the admissible users and the BS transmit beamformers, they aim to maximise the minimum signaltointerferenceplusnoiseratio of the admissible users, such that high QoS and fairness can be guaranteed simultaneously for them. This problem is essentially NPhard, and hence they pursue an efficient approximate solution to it. To this end, they first reformulate this problem from the perspective of sparse optimisation, and then develop a lowcomplexity algorithm to iteratively solve the approximate problem. Moreover, to facilitate the algorithm's implementation, they further recast the subproblem in each iteration, such that it fits into the framework of the alternating direction methods of multipliers. Finally, an efficient distributed algorithm is designed, with each step being simply computed in a closed form.
References


1)

1. Schubert, M., Boche, H.: ‘Solution of the multiuser downlink beamforming problem with individual SINR constraints’, IEEE Trans. Veh. Technol., 2004, 53, (1), pp. 18–28.

2)

2. Liu, Y.F., Dai, Y.H., Luo, Z.Q.: ‘Maxmin fairness linear transceiver design for a multiuser MIMO interference channel’, IEEE Trans. Signal Process., 2013, 61, (9), pp. 2413–2423.

3)

3. Gerlach, D., Paulraj, A.: ‘Base station transmitting antenna arrays for multipath environment’, Signal Process., 2004, 54, (1), pp. 59–73.

4)

4. Wiesel, A., Eldar, Y.C., Shamai, S.: ‘Linear precoding via conic optimization for fixed MIMO receivers’, IEEE Trans. Signal Process., 2006, 54, (1), pp. 161–176.

5)

5. Lu, S., Tsaknakis, I., Hong, M., et al: ‘Hybrid block successive approximation for onesided nonconvex minmax problems: algorithms and applications’, .

6)

6. Ahmed, M.: ‘Call admission control in wireless networks: a comprehensive survey’, IEEE Commun. Surv. Tutor., 2005, 7, (1), pp. 49–68.

7)

7. Zhao, H., GarciaPalacios, E., Wei, J., et al: ‘Distributed resource management and admission control in wireless ad hoc networks: a practical approach’, IET Commun., 2012, 6, (8), pp. 883–888.

8)

8. Zander, J.: ‘Performance of optimum transmitter power control in cellular radio systems’, IEEE Trans. Veh. Technol., 1992, 41, (1), pp. 57–62.

9)

9. Andersin, M., Rosberg, Z., Zander, J.: ‘Gradual removals in cellular PCS with constrained power control and noise’, Wirel. Netw., 1996, 2, (1), pp. 27–43.

10)

10. Mitliagkas, I., Sidiropoulos, N.D., Swami, A.: ‘Joint power and admission control for adhoc and cognitive underlay networks: convex approximation and distributed implementation’, IEEE Trans. Wirel. Commun., 2011, 10, (12), pp. 4110–4121.

11)

11. Matskani, E., Sidiropoulos, N.D., Luo, Z.Q., et al: ‘Convex approximation techniques for joint multiuser downlink beamforming and admission control’, IEEE Trans. Wirel. Commun., 2008, 7, (7), pp. 2682–2693.

12)

12. Liu, Y.F., Dai, Y.H., Luo, Z.Q.: ‘Joint power and admission control via linear programming deflation’, IEEE Trans. Signal Process., 2013, 61, (6), pp. 1327–1338.

13)

13. Wai, H.T., Ma, W.K.: ‘A decentralized method for joint admission control and beamforming in coordinated multicell downlink’. Proc. IEEE ASILOMAR, Pacific Grove, USA, November 2012, pp. 559–563.

14)

14. Lai, W.S., Chang, T.H., Lee, T.S.: ‘Joint power and admission control for spectral and energy efficiency maximization in heterogeneous OFDMA networks’, IEEE Trans. Wirel. Commun., 2016, 15, (5), pp. 3531–3547.

15)

15. Kuang, Q., Speidel, J., Droste, H.: ‘Joint basestation association, channel assignment, beamforming and power control in heterogeneous networks’. Proc. IEEE Vehicular Technology Conf. (VTC), Yokuhama, Japan, May 2012, pp. 1–5.

16)

16. Azam, M., Ahmad, M., Naeem, M., et al: ‘Joint admission control, mode selection, and power allocation in D2D communication systems,’, IEEE Trans. Veh. Technol., 2016, 65, (9), pp. 7322–7333.

17)

17. Liu, P., Hu, C., Peng, T., et al: ‘Distributed cooperative admission and power control for devicetodevice links with QoS protection in cognitive heterogeneous network’. Proc. CHINACOM, Kunming, China, August 2012, pp. 712–716.

18)

18. Monemi, M., Rasti, M., Hossain, E.: ‘On joint power and admission control in underlay cellular cognitive radio networks’, IEEE Trans. Wirel. Commun., 2015, 14, (1), pp. 265–278.

19)

19. Evangelinakis, D.I., Sidiropoulos, N.D., Swami, A.: ‘Joint admission and power control using branch & bound and gradual admissions’. Proc. IEEE Signal Processing Advances in Wireless Communications (SPAWC), Marrakech, Morocco, June 2010, pp. 1–5.

20)

20. Lin, J., Zhao, R.: ‘An distributed deflation algorithm for joint admission control and beamforming in multiuser maxmin fairness networks’. Proc. the 23rd AsiaPacific Conf. on Communications (APCC), Perth, Australia, December 2017, pp. 1–6.

21)

21. Lin, J., Zhao, R., Li, Q., et al: ‘Joint base station activation, user admission control and beamforming in downlink green networks’, Digit. Signal Process., 2017, 68, (9), pp. 182–191.

22)

22. Liu, Y.F, Dai, Y.H, Ma, S.: ‘Joint power and admission control: nonconvex Lq approximation and an effective polynomial time deflation approach’, IEEE Trans. Signal Process., 2015, 63, (14), pp. 3641–3656.

23)

23. Chen, Q., Kang, D., He, Y., et al: ‘Joint power and admission control based on channel distribution information: a novel twotimescale approach’, IEEE Signal Process. Lett., 2017, 24, (2), pp. 196–200.

24)

24. Dong, Q., Li, J.: ‘Joint damission control and beamforming design for interference cognitive radio network with parital channel state information case’, IET Commun., 2015, 15, (10), pp. 1306–1314.

25)

25. Zander, J.: ‘Distributed cochannel interference control in cellular radio systems’, IEEE Trans. Veh. Technol., 1992, 41, (3), pp. 305–311.

26)

26. Rasti, M., Hossain, E.: ‘Distributed prioritybased power and admission control in cellular wireless networks’, IEEE Trans. Wirel. Commun., 2013, 12, (9), pp. 4483–4495.

27)

27. Yu, R., Zhang, Y., Chen, Y., et al: ‘Distributed rate and admission control in home M2M networks: A noncooperative game approach’. Proc. IEEE INFOCOM, Shanghai, China, April 2011, pp. 196–200.

28)

28. Le, L., Niyato, D., Hossain, E., et al: ‘QoSaware and energyefficient resource management in OFDMA femtocells’, IEEE Trans. Wirel. Commun., 2013, 12, (1), pp. 180–194.

29)

29. Fukushima, M.: ‘Application of the alternating direction method of multipliers to separable convex programming problems’, Comput. Optim. Appl., 1992, 1, (1), pp. 93–111.

30)

30. Lin, J, Li, Q., Jiang, C., et al: ‘Joint multirelay selection, power allocation, and beamformer design for multiuser decodeandforward relay networks’, IEEE Trans. Veh. Technol., 2016, 65, (7), pp. 5073–5087.

31)

31. Shen, C., Chang, T.H., Wang, K.Y., et al: ‘Distributed robust multicell coordinated beamforming with imperfect CSI: an ADMM approach’, IEEE Trans. Signal Process., 2012, 60, (6), pp. 2988–3003.

32)

32. Ma, S., Li, H., He, Y., et al: ‘Capacity bounds and interference management for interference channel in visible light communication networks’, IEEE Trans. Wirel. Commun., 2019, 18, (1), pp. 182–193.

33)

33. Boyd, S., Vandenberghe, L.: ‘Convex optimization’ (Cambridge University Press, Cambridge, U.K., 2004).

34)

34. Boyd, S., Vandenberghe, L.: ‘Methods of descent for nondifferentiable optimization’ (Springer, Berlin, 1985).

35)

35. Grant, M., Boyd, S.: .
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