Stochastic geometry based analysis of autonomous uplink inter-cell interference coordination in OFDMA/LTE wireless systems

Kafafy, Mai; Elsayed, Khaled A.

doi:10.1109/nrsc.2016.7450843

Cited by 1 publication

(5 citation statements)

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“…These adaptive schemes use the overload indicator (OI) signal in the LTE standard [9]to adapt the values of the interference limits for every RB in each BS so as to lessen the interference seen by the overloaded BSs, and hence achieve fairness among BSs. Simulations show that the new suboptimal interference limit per RB scheme almost achieve the same spectral efficiency as the overall interference limit suboptimal scheme in [1] with the advantages of being autonomous on a per-terminal basis, and being easily adjusted to the network conditions by our two newly proposed adaptive schemes. The heuristic and the optimal adaptive schemes improve the fairness achieved among BSs on a per-RB basis by increasing the rates achieved by the overloaded BSs.…”

Section: Introduction Imentioning

confidence: 87%

“…Fig. 1 shows the spectral efficiency of our new suboptimal scheme (interference limit per RB without OI adaptation) and the previously proposed suboptimal power allocation (overall interference limit) in [1]. The two schemes have close performance especially at high values of interference limits ( 90: 70 dBm), while the per RB scheme exhibits lower spectral efficiency at small values of interference limit.…”

Section: Performance Evaluation IVmentioning

confidence: 95%

“…In this paper, we extend our previous work in [1] by reformulating the autonomous power allocation problem using a different interference limit for each RB instead of an overall interference limit for the whole cell. We derive a closed form suboptimal power allocation using this new problem formulation which can be calculated by each terminal autonomously rather than at the BS.…”

Section: Introduction Imentioning

confidence: 95%

“…We consider the same convex autonomous optimization problem in our previous work in [1] as shown in (1) which maximizes the sum of the individual SLNRs of terminals in BS-s subject to sum power constraints per terminal and an overall Interference constraint for the whole cell.…”

Section: B Problem Formulationmentioning

confidence: 99%

“…This algorithm allows the terminal with maximum weighted rate to transmit on all the RBs with the maximum power that satisfies the interference constraint. In [1], we propose a framework for autonomous uplink ICIC in OFDMA wireless systems. That framework imposes an overall interference limit for each cell.…”

Section: Introduction Imentioning

confidence: 99%

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Autonomous uplink intercell interference coordination in LTE systems with adaptively-tuned interference limits

Kafafy

Elsayed

2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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The inter-cell interference (ICI) problem in OFDMA wireless systems is a major impediment to attain high rates particularly for cell-edge users in reuse-1 systems. Interference mitigation techniques combat ICI by using proper resource allocation. Centralized allocation is not practical, particularly in heterogeneous networks, as it requires intensive signaling about interference and channel state information that may not always be practically available. This paper presents a framework for autonomous uplink inter-cell interference coordination in OFDMA wireless systems based on imposing an interference limit for each resource block in each cell. This framework gives a suboptimal closed form autonomous power allocation that can be applied autonomously at each terminal. We also propose two semi-autonomous heuristic and optimal adaptive schemes that use the overload indicator signal in LTE to tune the interference limits in order to achieve fairness among cells by alleviating the interference seen by the overloaded cells. Simulations show that the new suboptimal scheme exhibits the same performance as our initial scheme in [1] which imposes an overall interference limit per cell. However, the two main advantages of the new framework are the ability of each terminal to calculate its power independently and that the adaptive interference limit schemes can be applied to adjust the level of interference seen by each cell. Simulations also show that the adaptive schemes achieve fairness among cells by increasing the rates of the overloaded cells at the expense of slightly reducing the rates of the lightly loaded cells.

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Section: Introduction Imentioning

confidence: 87%

Section: Performance Evaluation IVmentioning

confidence: 95%

Section: Introduction Imentioning

confidence: 95%

Section: B Problem Formulationmentioning

confidence: 99%

Section: Introduction Imentioning

confidence: 99%

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