Performances evaluation of different algorithms for PCIs self configuration in LTE

Abstract

Nowadays, network operators are basically facing two problems: the fast number of subscribers growth and the network congestion. To solve these problems, network operators increase the number of cells, make cells smaller and reserve a subpart of frequencies to Femto cells to offload data traffic. As a consequence, networks manual planning demands a lot of efforts and its cost increases. Self-configuring and self-optimizing mechanisms would be vital to operators to reduce manual planning. This article focuses on the application of these mechanisms in LTE and more specifically on the procedure of Automated configuration of Physical Cell Ids (PCIs). This procedure aims at avoiding conflicts in PCIs allocation. In this article, we first evaluate the performances of 3 relabeling algorithms applied on graphs representing real LTE Macro networks: Random Relabeling algorithm (RR), Smallest available Value algorithm (SV), Distance 3 neighbour label algorithm (D3). Then, we evaluate the performances of the best algorithm applied on graphs representing real LTE networks where Femto cells are connected to Macro cells. Here, we answer the following question: is the selected relabeling algorithm still efficient when we extend its application to Femto cells?

BiSON: A Bioinspired Self‐Organizing Network for Dynamic Auto‐Configuration in 5G Wireless

“…Table 1 shows the summary of major existing works on SON and bioinspired approaches in wireless networks. Geolocation based allocation [8,9], game-theory based minimum collision assignment [7], and graph coloring optimization [3,4] [13,15]. Bioinspired solutions have been used in wireless networks for scheduling and resource allocation [16,17], optimal cell planning [18], BS deployment [18], and load balancing [19].…”

“…In Figure 2(c), we show the process of avoiding such implicit PCID conflicts with the concept of virtual cell or virtual cell cluster following the Update rules, mentioned below: Figure 4 shows the updated chromosome after applying update rules on chromosome in Figure 3. Since cell 4 and cell 8 result in PCID confusion, entry in both (4,8) and (8,4) is now replaced by ø.…”

“…Hence, handover to the cell whose PCID is not in the ANR table fails. A massive number of heterogenous cells in 5G are bound to increase the complexity of the already complicated problem. A survey of the recent research works in self-organization and management [4] reveals that a large number of academic researches and international projects reflect the importance of PCID allocation with self-configuration, plug-and-play, self-optimization, self-healing (in case of failure), and automated network management. This motivates us to look into the dynamic self-configuration problem in next generation of 5G wireless networks.…”