Spatial frequency reuse in a novel generation of PMR networks

Lamiable, Alexis; Tomasik, Joanna

doi:10.1109/wcnc.2013.6554770

Cited by 6 publications

(9 citation statements)

References 12 publications

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“…Our study [1], concerning frequency reuse schemes and RB (Ressource Block) allocation algorithms for the novel PMR architecture [2], showed that the sensing mechanism introduced allows one to conceive efficient reuse schemes which are deprived of the stiffness typical for the conventional solutions founded exclusively upon the frequency attribution to a geographical area, such as Fractional/Soft Frequency Reuse (SFR, FFR) [3]. As the theoretical analysis we performed for the problems modeling reuse/allocation exhibited their NPhardness and the lack constant performance bounds, we had to carry out a performance evaluation of the heuristic algorithms.…”

Section: Introductionmentioning

confidence: 77%

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Validation of spectrum management schemes for PMR networks based on LTE with interference detection

Lamiable¹,

Tomasik²

2013

2013 IFIP Wireless Days (WD)

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Private Mobile Radio (PMR) networks are cellular infrastructures dedicated to be used by professionals. We have been working on allocation algorithms in LTE based PMR networks equipped with an innovative sensing mechanism which estimates interference probability between UEs (User Entities).We proposed spectrum management schemes which take advantage of sensed data to operate parsimoniously. As the underlying problems are NP-hard, the performance evaluation of the proposed solutions has to be made. At the stage of algorithm design we are obliged to generate representative series of interference graphs.We describe the methodology of random interference graph generation. We take into consideration numerous aspects of PMR networks, notably the QoS requirements. We offer a procedure which allows anybody intending to develop algorithms for this new PMR technology to have a complete modeling support.

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Section: Introductionmentioning

confidence: 77%

“…In our case, in spite of the fact that the presence of an edge between two UEs does not necessarily indicate a geographical distance, the metric we used is founded upon signal attenuation. To preserve the signal from decaying too quickly, we opted for a linear function as follows [1]:…”

Section: )mentioning

confidence: 99%

Validation of spectrum management schemes for PMR networks based on LTE with interference detection

Lamiable¹,

Tomasik²

2013

2013 IFIP Wireless Days (WD)

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“…To begin with, we recall from our previous paper [2] the definition of the WFCP and a centralized heuristic algorithm solving it. Let us remind the reader that we work on an interference graph built using a new sensing technique by Airbus Defence and Space (former Cassidian) that allows the cells to sense the interference probability of UEs in neighboring cells; we want to use this information to produce RB allocations that avoid interference.…”

Section: Definitionsmentioning

confidence: 99%

“…As we proved in [2] the NP-completeness of the WFCP, we pursue its complexity analysis by estimating the theoretical performance bounds. The special case with only one RB is equivalent to the Maximum Weight Independent Set Problem.…”

Section: Definitionsmentioning

confidence: 99%

“…In a previous paper [2], we formulated the Weighted Fractional Coloring Problem (WFCP) to model an optimal Resource Block allocation with full frequency reuse, which takes into account the UEs' interference probabilities. After completing its theoretical analysis by giving its performance bounds, we propose a distributed heuristic solution applicable in the context of a PMR network.…”

Section: Introductionmentioning

confidence: 99%

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Frequency reuse with incomplete information in a novel generation of PMR networks

Lamiable

Tomasik

2014

2014 7th IFIP Wireless and Mobile Networking Conference (WMNC)

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Private Mobile Radio (PMR) networks are cellular infrastructures dedicated to be used by professionals, such as public safety, military, industry and transportation organizations. The world PMR leader, Airbus Defence and Space (former Cassidian), intends to base the next generation of its products upon LTE-Advanced, enriched with a new sensing method which estimates interference probabilities between user entities (UEs) and neighboring base stations (eNodeBs).We work on a variant of the fractional coloring problem, which models an optimal Resource Blocks (RBs) allocation with spatially unrestrained frequency reuse, taking into account the new sensing. We propose a distributed allocation algorithm where eNodesBs allocate RBs to their UEs having at their disposal partial information concerning the possibility of interference between UEs, keeping in mind its possible implementation in PMR networks. We stress that exchanges of interference information are made between eNodeBs and not UEs. Overhead is thus transmitted over a wired network and its volume is very small.Because this problem is NP-hard without constant performance bounds, we perform an exhaustive procedure to evaluate the performance of our algorithm. Our distributed algorithm is confronted with the random one and two existing resource allocation schemes (Fractional/Soft Frequency Reuse). Our algorithm clearly outperforms the others even with incomplete interference information. Being little demanding in terms of execution time and overhead amount, it is an excellent candidate to be implemented in the new LTE-Advanced PMR networks.

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