Predictive Resource Allocation Evaluation with Real Channel Measurements
Paper i proceeding, 2017

Mobile services, especially video streaming, has seen a rapid usage increase in recent years. Base stations (BSs) need to employ smarter and efficient resource allocation strategies to maintain high quality of service (QoS) to users at all the times. Predictive resource allocation (PRA), is one such novel scheme, in which BSs seek to anticipate the user demands and offer service to users in advance. As a result, the QoS can be improved, network load can be distributed over time, while at the same time offering efficient utilization of BS power. In location-aware PRA, the BS exploits location information of the users to predict the channel expected variations and adapt the BS resources accordingly. We evaluate PRA strategies based on an empirical study of the radio channel variation from measured location-aided channel radio maps using a smart phone. We observed that gains offered by the PRA scheme are highly dependent on user mobility patterns.

Författare

Suhail Ahmad

Chalmers, Signaler och system

Rikard Reinhagen

Chalmers, Signaler och system

Srikar Muppirisetty

Chalmers, Signaler och system

Henk Wymeersch

Chalmers, Signaler och system, Kommunikation, Antenner och Optiska Nätverk

IEEE International Conference on Communications

15503607 (ISSN)

7996754
978-1-4673-8999-0 (ISBN)

IEEE International Conference on Communications (ICC)
Paris, France,

Geographic mapping of radio signals (MapCOM)

Europeiska kommissionen (EU) (EC/H2020/680904), 2016-01-01 -- 2016-12-31.

Styrkeområden

Informations- och kommunikationsteknik

Ämneskategorier

Kommunikationssystem

DOI

10.1109/ICC.2017.7996754

Mer information

Senast uppdaterat

2023-03-21