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Radio Resource Management for Coordinated Multipoint Systems

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Resource Allocation and MIMO for 4G and Beyond

Abstract

This chapter revisits many of the issues concerning radio resource management with a focus on the upcoming systems embodying the Coordinated Multipoint (CoMP) technology. Nowadays CoMP-based systems have attracted special attention due to their potential benefits in terms of spectral efficiency and coverage. As a part of 3GPP Long Term Evolution—Advanced, CoMP technology promises substantial improvement of the users’ experience at the expense of requiring a reliable and efficient connection among the evolved Node Bs (eNBs). If multiple users and eNBs are coordinated using a suitable technique, the concerns about interference can be greatly alleviated and, consequently, also the restrictions on sharing the radio resources. In this chapter, the grouping of users and eNBs is explored in two different occasions. First, coordinated strategies process the Channel State Information (CSI) for scheduling users in order to improve the system performance; afterwards, clustering of eNBs is described as an attractive approach to deal with the processing and signaling overheads brought by CoMP. The chapter presents an analysis of different algorithms, as well as case studies illustrating some key concepts through computer simulations.

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Notes

  1. 1.

    For the sake of simplicity, each of additions and multiplications, whether real or complex, are accounted for as a single floating-point operation, although they require different amounts of machine cycles.

  2. 2.

    In the study of the algorithmic efficiency, the term asymptotic refers to great values of \(M\), which prevail over multiplicative constants as well as over the lowest order terms in the exact accounting of running time [18].

  3. 3.

    The cost function of the problem of variance minimization is similar to that one of minimizing the sum of squared distances to the centroids (cf. (1.26)), except for a denominator that is function of cardinalities of clusters (cf. [31]).

  4. 4.

    Silhouette value is a measure of the closeness of each observation belonging to a cluster relative to the observations in other clusters [47].

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Authors and Affiliations

  1. Wireless Telecommunications Research Group (GTEL), Federal University of Ceará, Caixa Postal 6005, Fortaleza , 60440-900, Brazil

    Elvis M. G. Stancanelli, Rodrigo L. Batista, Tarcisio F. Maciel & Yuri C. B. Silva

Authors
  1. Elvis M. G. Stancanelli
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  2. Rodrigo L. Batista
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  3. Tarcisio F. Maciel
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  4. Yuri C. B. Silva
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Correspondence to Elvis M. G. Stancanelli .

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  1. Federal University of Ceara, Fortaleza-CE, Brazil

    Francisco Rodrigo Porto Cavalcanti

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Stancanelli, E.M.G., Batista, R.L., Maciel, T.F., Silva, Y.C.B. (2014). Radio Resource Management for Coordinated Multipoint Systems. In: Cavalcanti, F. (eds) Resource Allocation and MIMO for 4G and Beyond. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8057-0_1

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