Predictive Resource Allocation Evaluation with Real Channel Measurements
Paper in 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.


Suhail Ahmad

Chalmers, Signals and Systems

Rikard Reinhagen

Chalmers, Signals and Systems

Srikar Muppirisetty

Chalmers, Signals and Systems

Henk Wymeersch

Chalmers, Signals and Systems, Communication, Antennas and Optical Networks

IEEE International Conference on Communications

15503607 (ISSN)

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

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

Geographic mapping of radio signals (MapCOM)

European Commission (EC) (EC/H2020/680904), 2016-01-01 -- 2016-12-31.

Areas of Advance

Information and Communication Technology

Subject Categories

Communication Systems



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