Skip to main content Accessibility help
×
Home
  • Print publication year: 2016
  • Online publication date: March 2016

7 - Interference management

Summary

Radio spectrum is a finite resource, and therefore has to be shared by multiple users. Such sharing or reuse of radio spectrum is a dominant feature of present-day wireless systems where a tremendous number of devices have wireless connectivity. If you use mobile Internet, particularly in a city, it is highly likely that the frequency channel assigned to you is also used by someone very near you. This sharing of radio spectrum inevitably causes interference between users due to the broadcast nature of the wireless medium. Managing the interference between the wireless links is one of the most important problems in wireless networks.

We have already discussed some basics of interference management in Chapter 5. Let's briefly recall the cellular principle here. In a cellular system, the whole service area is divided into cells, and each cell is covered by a base station or an access point. The mobile terminals in the same cell are exempt from the interference problem because they are given orthogonal resources, e.g., frequency channel, time, spreading code, or waveform. However, interference still takes place between the neighboring cells. Thus, what matters in the cellular systems is inter-cell interference. Frequency planning is applied to the cells so that the proper reuse distance can be maintained between the cells of the same frequency channel assignment.

The static frequency reuse presented in Chapter 5 is of course not the only method of managing interference in practical wireless systems. In fact, immense research work has been performed and is still ongoing in the field of inter-cell interference management. In this chapter, we will go deeper into this subject. First, the categories and elements of interference management techniques will be introduced in Section 7.1. Then, in the subsequent sections, the three categories of interference management techniques, namely interference avoidance, interference randomization and interference cancellation, will be further discussed with examples. Finally, interference management for small cells and heterogeneous networks is presented in Section 7.5. Note that interference management is a vast research area. This chapter only scratches the surface of the field.

Classification of interference management techniques

We will give a brief overview of interference management before looking into specific techniques.

J. G., Andrews, H., Claussen, M., Dohler, S., Rangan and M. C., Reed. 2012. Femtocells: past, present, and future. IEEE Journal on Selected Areas in Communications, 30(3), 497–508.
R., Beck and H., Panzer. 1989 (May). Strategies for handover and dynamic channel allocation in micro-cellular mobile radio systems. Pages 178–185 of: IEEE 39th Vehicular Technology Conference (VTC'89), vol. 1.
Cisco. 2014 (June). Cisco Visual Networking Index: Forecast and Methodology, 2013–2018. White paper.
T., Cover 1972. Broadcast Channels. IEEE Transactions on Information Theory, 18(1), 2–14.
K. S., Gilhousen, I. M., Jacobs, R., Padovani, A. J., Viterbi, L. A., Weaver Jr. and C. E., Wheatley III. 1991. On the capacity of a cellular CDMA system. IEEE Transactions on Vehicular Technology, 40(2), 303–312.
D. H., Kang, K. W., Sung and J., Zander. 2012 (Dec. 3–7). Is multicell interference coordination worthwhile in indoor wireless broadband systems? In: Proc. IEEE Global Communications Conference (GLOBECOM) 2012.
M. K., Karakayali, G. J., Foschini and R. A., Valenzuela. 2006. Network coordination for spectrally efficient communications in cellular systems. IEEE Wireless Communications, 13(4), 56–61.
I., Katzela and M., Naghshineh. 1996. Channel assignment schemes for cellular mobile telecommunication systems: a comprehensive survey. IEEE Personal Communications, 3(3), 10–31.
J., Zander and M., Frodigh. 1992. Capacity allocation and channel assignment in cellular radio systems using reuse partitioning. Electronics Letters, 28(5), 438–440.
J., Zander and P., Mähönen. 2013. Riding the data tsunami in the cloud: myths and challenges in future wireless access. IEEE Communications Magazine, 51(3), 145–151.