Channel-aware inter-cell interference coordination for the uplink of 3G LTE networks

Al-Rawi, Mohammed; Jäntti, Riku; Torsner, Johan; Sagfors, M.

doi:10.1109/wts.2009.5068967

Cited by 9 publications

(8 citation statements)

References 7 publications

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“…This result will help us in the remainder of this section where we only consider the heuristic solution but with higher numbers of users and resources. In this section we consider the comparison of D-TDD coordination with static TDD (S-TDD) coordination and non-coordination only due to the fact that we have made a previous study on S-TDD coordination and compared it with other methods [7]. The difference in the amount of traffic between the uplink and downlink plays an important role in D-TDD.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…Nevertheless, given that the average number of users in LTE-Advanced cells is 10 users/cell [6], reuse partitioning can still be implemented with considerable gains. We have previously suggested an ICIC scheme that carries out reuse partitioning through centralized scheduling of users in multiple cells [7]. In this paper we extend that scheme to include the transmission modes of the cells.…”

Section: Introductionmentioning

confidence: 99%

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A dynamic TDD inter-cell interference coordination scheme for Long Term Evolution networks

Al-Rawi

Jäntti

2011

2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications

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In this paper we propose an inter-cell coordination scheme that coordinates the transmission time and mode of users in neighboring cells. The scheme is designed for 3G LTE systems and therefore takes into account interface constraints especially for the uplink. The objective of the scheme is to assign physical resource blocks together with the transmission mode to users in a way that minimizes interference by maximizing a utility function subject to a certain quality of service. Numerical results show that interference coordination with Dynamic-TDD actually provides significant gains when compared to Static-TDD for noticeable differences of traffic between the downlink and uplink.

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Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A dynamic TDD inter-cell interference coordination scheme for Long Term Evolution networks

Al-Rawi

Jäntti

2011

2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications

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“…Foschini and Miljanic [4] prove the exponential convergence of a class of distributed uplinkdownlink power control algorithms aiming to achieve a minimum SINR per user as long as the set of the required SINRs is feasible. Authors of [5] propose an iterative RB assignment using pairwise coordination between BSs, however the limit to which pairs are grouped is not defined. Each user is assigned the RBs that maximize the total utility gradients of the cell users.…”

Section: Introduction Imentioning

confidence: 99%

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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“…Here though, because the water-filling solution is used for rate-optimal power allocation, a fair power distribution is neglected. In [14], an optimisationbased heuristic inter-cell coordination scheme is proposed to regulate the uplink transmission in neighbouring cells such that inter-cell interference is mitigated. As the scheme operates iteratively on a two-cell basis, however, it is clearly unsuitable for multi-cellular resource allocation.…”

Section: Introductionmentioning

confidence: 99%

Uplink interference protection and scheduling for energy efficient OFDMA networks

Burchardt

Bharucha

Auer

et al. 2012

J Wireless Com Network

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One of the key challenges for future orthogonal frequency division multiple access-based networks is inter-cell interference coordination. With full frequency reuse and small inter-site distances, coping with co-channel interference (CCI) in such networks has become increasingly important. In this article, an uplink interference protection (ULIP) technique to combat CCI is introduced and investigated. The level of uplink interference originating from neighbouring cells (affecting co-channel mobile stations (MSs) in the cell of interest) can be effectively controlled by reducing the transmit power of the interfering MSs. This is done based on the target signal-to-noise-plus-interference ratio (SINR) and tolerable interference of the vulnerable link. Bands are prioritised in order to differentiate those (vulnerable/victim) MSs that are to be protected from interference and those (aggressor/interfering MSs) that are required to sacrifice transmission power to facilitate the protection. Furthermore, MSs are scheduled such that those users with poorer transmission conditions receive the highest interference protection, thus balancing the areal SINR distribution and creating a fairer allocation of the available resources. In addition to interference protection, the individual power reductions also serve to decrease the total system uplink power, resulting in a greener system. It is shown through analytic derivation that the introduction of ULIP guarantees an increase in energy efficiency for all MSs, with the added benefit that gains in overall system throughput are also achievable. Extensive system level simulations validate these findings.

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Channel-aware inter-cell interference coordination for the uplink of 3G LTE networks

Cited by 9 publications

References 7 publications

A dynamic TDD inter-cell interference coordination scheme for Long Term Evolution networks

A dynamic TDD inter-cell interference coordination scheme for Long Term Evolution networks

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

Uplink interference protection and scheduling for energy efficient OFDMA networks

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