Prediction Based Resource Allocation

Muhammad Ismail, Weihua Zhuang

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)


In a dynamic environment, call arrivals and departures in different service areas may trigger reallocations for all MTs in service. In a decentralized architecture, this is translated to a heavy signalling overhead between the MTs and different BSs/APs with every call arrival and/or departure in any service area. Hence, the main challenge is how to develop an efficient decentralized radio resource allocation mechanism that reduces the associated signalling overhead with call arrivals and departures. In this chapter, concepts of call traffic load prediction and network cooperation are introduced to address the challenges that face the decentralized resource allocation in a dynamic environment.

Original languageEnglish
Title of host publicationSpringerBriefs in Computer Science
Number of pages21
Publication statusPublished - 1 Jan 2013

Publication series

NameSpringerBriefs in Computer Science
ISSN (Print)2191-5768
ISSN (Electronic)2191-5776


ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Ismail, M., & Zhuang, W. (2013). Prediction Based Resource Allocation. In SpringerBriefs in Computer Science (9781461470786 ed., pp. 37-57). (SpringerBriefs in Computer Science; No. 9781461470786). Springer.