By Hans-Florian Geerdes
ISBN-10: 3834806978
ISBN-13: 9783834806970
ISBN-10: 3834892602
ISBN-13: 9783834892607
Interference determines the functionality of UMTS radio networks. with the intention to offer stable insurance and excessive means, community operators have to regulate the consequences and dynamics of interference coupling between clients and cells. it is a significant problem in making plans and optimizing UMTS radio networks.
Hans-Florian Geerdes establishes a concise method version, which describes interference coupling and its effect at the community. The procedure version allows an effective research of radio community functionality. it's also the root for brand spanking new computerized making plans algorithms. broad computational experiments on lifelike information reveal that the awarded evaluate and optimization tools are well-suited instruments to be used in practice.
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Extra resources for UMTS Radio Network Planning: Mastering Cell Coupling for Capacity Optimization
Example text
A more sophisticated scheme uses information on the entire distribution of users. In each cell, we deactivate users in a random order until the row sum (in downlink) or the column sum (in uplink) falls below the value for the scaled system. Formally, the constraints on row and column sum are (c) Row sum/column sum knapsack. t. max lti l M'cM lte i :::; lte i diag("J) s. t. ell:::; diag(A 1) ell This problem is called a knapsack problem (Schrijver, 1986); we solve it with integer programming methods.
Furthermore, outage due to a lack of Ee/lo or uplink coverage has to be neglected. Computations in the next chapter will show that the inaccuracies are tolerable in practical settings. The chapter is structured as follows: In Sec. 1, we derive the (well-known) linear interference-coupling systems and show how they relate to the original system model as stated in Sec. 3. We then discuss the notion of perfect load control, the resulting system model, and our methods for solving them in Sec. 2. An alternative representation of the system along the lines of the known pole equations for the capacity of a UMTS cell is derived in Sec.
Otherwise a standard Jacobi step is performed. 1 An introduction to complexity theory and a formal definition of NP hardness can be found, for example, in the book by Carmen et al. (1990); briefly, the term means that an efficient algorithm for solving arbitrary instances is unlikely to exist. 47 Sec. 26). Proof We first check convergence. 27b) for py) are monotonously increasing for growing t. 27a). bounded, so we have: 1 > - (c) _ Pi - X~t) Furthermore, both sequences are > X~t+l) > 0 1 < _(t+l) < -1 1 -(t) Pi - Pi for all t 2 0, i EN, for all t 2 0, i EN.