Impact of Coordination Delay on Distributed Scheduling in LTE-A Femtocell Networks

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

doi:10.1109/glocom.2010.5683280

Cited by 19 publications

(4 citation statements)

References 10 publications

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“…The limited capacity of backhaul and the possible latency and errors introduced are considerable issues in the context of self-organizing small cell networks. Also note that the backhaul can be hybrid (e.g., coexistence of both wired and wireless backhaul) with different constraints [35]. These backhaul limitations and constraints should be taken into account when developing self-organizing algorithms for small cell networks.…”

Section: Limited Backhaul : Unlike Macro Base Stations Which Have a Smentioning

confidence: 99%

A cheat-proof power control policy for self-organizing full-duplex small cells

Semasinghe

Hossain

2016

2016 IEEE International Conference on Communications (ICC)

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Section: Limited Backhaul : Unlike Macro Base Stations Which Have a Smentioning

confidence: 99%

A cheat-proof power control policy for self-organizing full-duplex small cells

Semasinghe

Hossain

2016

2016 IEEE International Conference on Communications (ICC)

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“…In [5], [6], the authors showed the large potential of coordinated transmission, but indicated that coordination gains might turn into losses if data traffic is very bursty: With bursty traffic, a user's downlink queue at the basestation runs empty from time to time. It might happen that buffers run empty while coordination with neighbors is still ongoing.…”

Section: Introductionmentioning

confidence: 97%

Transmit mode selection schemes for distributed coordinated transmission of data traffic

Müeller

2012

2012 IEEE International Conference on Communications (ICC)

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Coordinated Multi-Point transmission schemes have a large potential to increase spectral efficiency in cellular networks. While the physical layer aspects of coordinated transmission received a lot of attention, its integration into higher layers yet remains to be investigated. In this work, we analyze the transmit mode selection for coordinated and uncoordinated transmission of data traffic. We propose two transmit mode selection schemes to decide whether to use coordinated transmission for an object or not. One scheme is based on object size, the other one is based on queue state. We derive the optimal parameter settings for our selective coordination schemes and show how they improve system performance.

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“…as digital subscriber line (DSL). Consequently, when designing resource management solutions for small cell networks (SCNs), one must factor in a variety of constraints pertaining to the backhaul such as its limited capacity or its potential heterogeneity (i.e., the co-existence of a wired and wireless backhaul [2], [12]). Remarkably, while a body of literature on small cell networks exists such as [4], [5], [13]- [15], beyond [7]- [10] little work seems to have studied how the backhaul constraints impacts the resource management processes at the radio access level.…”

Section: Introductionmentioning

confidence: 99%

Backhaul-Aware Interference Management in the Uplink of Wireless Small Cell Networks

Samarakoon

Bennis

Saad

2013

IEEE Trans. Wireless Commun.

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Abstract-The design of distributed mechanisms for interference management is one of the key challenges in emerging wireless small cell networks whose backhaul is capacity limited and heterogeneous (wired, wireless and a mix thereof). In this paper, a novel, backhaul-aware approach to interference management in wireless small cell networks is proposed. The proposed approach enables macrocell user equipments (MUEs) to optimize their uplink performance, by exploiting the presence of neighboring small cell base stations. The problem is formulated as a noncooperative game among the MUEs that seek to optimize their delay-rate tradeoff, given the conditions of both the radio access network and the -possibly heterogeneous -backhaul. To solve this game, a novel, distributed learning algorithm is proposed using which the MUEs autonomously choose their optimal uplink transmission strategies, given a limited amount of available information. The convergence of the proposed algorithm is shown and its properties are studied. Simulation results show that, under various types of backhauls, the proposed approach yields significant performance gains, in terms of both average throughput and delay for the MUEs, when compared to existing benchmark algorithms.Index Terms-heterogeneous networks; capacity-limited backhaul; wired and wireless backhaul; reinforcement learning; game theory.

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Impact of Coordination Delay on Distributed Scheduling in LTE-A Femtocell Networks

Cited by 19 publications

References 10 publications

A cheat-proof power control policy for self-organizing full-duplex small cells

A cheat-proof power control policy for self-organizing full-duplex small cells

Transmit mode selection schemes for distributed coordinated transmission of data traffic

Backhaul-Aware Interference Management in the Uplink of Wireless Small Cell Networks

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