Cell Association and Interference Coordination in Heterogeneous LTE-A Cellular Networks

Madan, Ritesh; Borran, Jaber; Sampath, Ashwin; Bhushan, Naga; Khandekar, A.; Ji, Tingfang

doi:10.1109/jsac.2010.101209

Cited by 421 publications

(262 citation statements)

References 27 publications

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“…In this paper, we use the cell range expansion (CRE) method in [8]. In the CRE, the coverage of the pico BSs is extended for better traffic-load balancing.…”

Section: Repeat Until Convergencementioning

confidence: 99%

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Performance Evaluation of Joint Power and Frequency-Domain Intercell Interference Coordination in Heterogeneous Networks

Sho

Higuchi

2017

Journal of Signal Processing

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We evaluate our previously reported joint power and frequency-domain inter-cell interference coordination (ICIC) method for heterogeneous networks where low transmissionpower pico base stations (BSs) overlay onto a high transmission-power macro BS. In the previously reported method, to protect users connected to a pico BS from interference from a high-power macro BS, we define a protected band, which is exclusively used by only pico BSs. In the remaining non-protected band, we employ soft fractional frequency reuse (SFR) at the macro BSs so that macro-tomacro ICIC is achieved. With this frequency usage, we employ adaptive transmission power control for the nonprotected band at the macro BS and simultaneously control the bandwidth allocation to the protected band from the viewpoint of proportional fairness (PF). The previously reported method is achieved with very limited information exchange between BSs. The transmission power control is a decentralized approach. Thus, in this method, we use a cost function in the objective function to lower the transmission power of the macro BSs so that the interference to the other BSs is considered. In our previous investigation, we used different values of the cost for different system conditions. In this paper, we use the same value of the cost for all evaluated conditions to obtain more realistic results. Computer simulation results show in detail the effectiveness of our method compared with conventional approaches under various system conditions.

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“…In this paper, we use the cell range expansion (CRE) method in [8]. In the CRE, the coverage of the pico BSs is extended for better traffic-load balancing.…”

Section: Repeat Until Convergencementioning

confidence: 99%

“…The user throughput is calculated using the Shannon formula. The cell association is performed using the CRE method [8] with a bias of 16 dB for all pico BSs. We evaluate the geometric mean user throughput of all users within a macrocell coverage area, R gmean .…”

Section: Performance Evaluationmentioning

confidence: 99%

Performance Evaluation of Joint Power and Frequency-Domain Intercell Interference Coordination in Heterogeneous Networks

Sho

Higuchi

2017

Journal of Signal Processing

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“…Consequently, two nodes physically locating closely to each other do not suggest severe interference to/from each other if a small transmission power is adopted in both nodes. Such concept motivates considerable efforts [10], [12], [17], [40]- [42] to avoid harmful interference to the victim by controlling the transmission power in the aggressor based on the physical distance to the victim in the HetNet. However, in state-of-the-art cellular networks such as LTE and LTEAdvanced, adaptive power control is only applied in uplink communications, while a fixed power level is adopted by downlink communications to avoid complexity in BSs.…”

Section: Location/spatialitymentioning

confidence: 99%

Interference Mitigation in CR-Enabled Heterogeneous Networks

Lien

Cheng

Chen

2013

IEICE Trans. Commun.

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SUMMARYThe heterogeneous network (HetNet), which deploys small cells such as picocells, femotcells, and relay nodes within macrocell, is regarded as a cost-efficient and energy-efficient approach to resolve increasing demand for data bandwidth and thus has received a lot of attention from research and industry. Since small cells share the same licensed spectrum with macrocells, concurrent transmission induces severe interference, which causes performance degradation, particularly when coordination among small cell base stations (BSs) is infeasible. Given the dense, massive, and unplanned deployment of small cells, mitigating interference in a distributed manner is a challenge and has been explored in recent papers. An efficient and innovative approach is to apply cognitive radio (CR) into HetNet, which enables small cells to sense and to adapt to their surrounding environments. Consequently, stations in each small cell are able to acquire additional information from surrounding environments and opportunistically operate in the spectrum hole, constrained by minimal inducing interference. This paper summarizes and highlights the CR-based interference mitigation approaches in orthogonal frequency division multiple access (OFDMA)-based HetNet networks. With special discussing the role of sensed information at small cells for the interference mitigation, this paper presents the potential cross-layer facilitation of the CR-enable HetNet. key words: heterogeneous networks (HetNet), small cell, interference management, interference mitigation, cognitive radio

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“…Cell range expansion (CRE) was proposed in which the coverage of the pico-BSs is extended for better trafficload balancing [6]. CRE introduces bias to the reference signal received power (RSRP) for cell association.…”

Section: Introductionmentioning

confidence: 99%

Investigation on Power Control Algorithm in Joint Control Method of Autonomous Cell Association and Power Control for Heterogeneous Networks

Matsui

Ito

Higuchi

2016

Journal of Signal Processing

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This paper proposes a power control algorithm for our previously reported joint control method for autonomous cell association and transmission power control of picobase stations (BSs) in heterogeneous networks with intercell interference coordination (ICIC), where low transmission-power pico-BSs are overlaid onto a high transmission-power macro-BS. We previously proposed a two-step power control algorithm whose calculation complexity is relatively low. However, the algorithm does not necessarily find the optimal solution for the given problem. Therefore, in this paper, we propose an iterative power control algorithm that always finds the optimal solution and compares the algorithm to the previous one. Based on numerical results, we show that the new optimal algorithm achieves a higher geometric mean user throughput than the previous one. However, we also show that the throughput gain is small and the previous algorithm achieves a higher geometric mean user throughput than the optimal one when we assume the same computational complexity.

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Cell Association and Interference Coordination in Heterogeneous LTE-A Cellular Networks

Cited by 421 publications

References 27 publications

Performance Evaluation of Joint Power and Frequency-Domain Intercell Interference Coordination in Heterogeneous Networks

Performance Evaluation of Joint Power and Frequency-Domain Intercell Interference Coordination in Heterogeneous Networks

Interference Mitigation in CR-Enabled Heterogeneous Networks

Investigation on Power Control Algorithm in Joint Control Method of Autonomous Cell Association and Power Control for Heterogeneous Networks

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