Chunk-Based Resource Allocation in Multicast OFDMA Systems with Average BER Constraint

Papoutsis, Vasileios D.; Kotsopoulos, Stavros

doi:10.1109/lcomm.2011.030911.110252

Cited by 24 publications

(20 citation statements)

References 14 publications

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“…Since computation complexities increase with number of individual subcarriers to be allocated, it may be potentially helpful to allocate the subcarriers in chunks or blocks to reduce complexity. In [60], [61] and references therein, it was shown that chunk-based contiguous subcarrier allocation method based on SNR or BER constraints can effectively mitigate complexities and overheads. However, as expected, one major drawback of this approach is how to combat frequency selective fading on some subcarriers within the chunk which may hamper the possible benefits of chunk allocation.…”

Section: N0bwmentioning

confidence: 99%

Multicast Scheduling and Resource Allocation Algorithms for OFDMA-Based Systems: A Survey

Afolabi

Dadlani

Kim

2013

IEEE Commun. Surv. Tutorials

219

110

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Multicasting is emerging as an enabling technology for multimedia transmissions over wireless networks to support several groups of users with flexible quality of service (QoS) requirements. Although multicast has huge potential to push the limits of next generation communication systems; it is however one of the most challenging issues currently being addressed. In this survey, we explain multicast group formation and various forms of group rate determination approaches. We also provide a systematic review of recent channel-aware multicast scheduling and resource allocation (MSRA) techniques proposed for downlink multicast services in OFDMA based systems. We study these enabling algorithms, evaluate their core characteristics, limitations and classify them using multidimensional matrix. We cohesively review the algorithms in terms of their throughput maximization, fairness considerations, performance complexities, multi-antenna support, optimality and simplifying assumptions. We discuss existing standards employing multicasting and further highlight some potential research opportunities in multicast systems.

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Section: N0bwmentioning

confidence: 99%

Multicast Scheduling and Resource Allocation Algorithms for OFDMA-Based Systems: A Survey

Afolabi

Dadlani

Kim

2013

IEEE Commun. Surv. Tutorials

219

110

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“…The closed-form expression of M S (t) for the modified fast PC mechanism is given in (16). The closed form expression for the modified slow PC mechanism, as given in (20) can be derived for approximated Generalized-K fading as follows 4 :…”

Section: A Network Ergodic Capacitymentioning

confidence: 99%

“…A system is strictly fair if each user has equal probability to access the channel, i.e., F = 1. The average fairness can be easily computed using our 4 The CDF of Gamma distribution is…”

Section: B Average Fairness Among Usersmentioning

confidence: 99%

“…Statistical modeling of ICI as a function of key system parameters plays an imperative role in gaining theoretical insights and developing efficient interference mitigation techniques for existing fourth generation cellular networks such as Long Term Evolution (LTE), which is based on orthogonal frequency division multiple access (OFDMA). In OFDMA networks, the available bandwidth resources are decomposed into multiple narrow-band orthogonal subcarriers which are allocated among cells based on a predefined frequency reuse plan and per cell based on a predefined scheduling scheme [1]- [4]. Therefore, there is no intracell interference since a given subcarrier is allocated to only one user per cell.…”

Section: Introductionmentioning

confidence: 99%

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A Statistical Model of Uplink Inter-Cell Interference with Slow and Fast Power Control Mechanisms

Tabassum

Yılmaz

Dawy

et al. 2013

IEEE Trans. Commun.

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Uplink power control is in essence an interference mitigation technique that aims at minimizing the inter-cell interference (ICI) in cellular networks by reducing the transmit power levels of the mobile users while maintaining their target received signal quality levels at base stations. Power control mechanisms directly impact the interference dynamics and, thus, affect the overall achievable capacity and consumed power in cellular networks. Due to the stochastic nature of wireless channels and mobile users' locations, it is important to derive theoretical models for ICI that can capture the impact of design alternatives related to power control mechanisms. To this end, we derive and verify a novel statistical model for uplink ICI in Generalized-K composite fading environments as a function of various slow and fast power control mechanisms. The derived expressions are then utilized to quantify numerically key network performance metrics that include average resource fairness, average reduction in power consumption, and ergodic capacity. The accuracy of the derived expressions is validated via MonteCarlo simulations. Results are generated for multiple network scenarios, and insights are extracted to assess various power control mechanisms as a function of system parameters.

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“…A user association scheme with quality of service support for load balancing [10] is proposed in heterogeneous cellular networks, and it considers both user's achievable rate and load level of each BS by network-wide weighted utility maximization. The chunk-based resource allocation for multicast OFDMA systems [11] is introduced to maximize the total throughput with the bit error rate (BER) con-straint. However, to our best knowledge, there is no research on load balancing for the multicast and unicast mixed services between MBSFN, especially considering PTM mode for multicast services in the LTE networks.…”

Section: Introductionmentioning

confidence: 99%

Load Balancing Scheme with PTM Mode for Multicast Services Between MBSFN

Wang¹,

Ji-juan²,

Sun³

et al. 2017

dtetr

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In long term evolution (LTE) networks, the multicast services can be transmitted by single frequency network (SFN) mode or point-to-multipoint (PTM) mode, and the unicast services are delivered with point-to-point (PTP) mode. To avoid the network congestion in the LTE networks with the multicast and unicast mixed services, a load balancing (LB) scheme with PTM mode is proposed to minimize the demanded radio resources of the maximum load cell. The system model of the demanded radio resources is based on the signal to interference noise ratio (SINR) of multicast services with SFN mode and PTM mode. Then the minimization problem is solved by means of simulated annealing (SA) heuristics. It selects the optimal transmission mode between SFN and PTM for multicast services. Simulation results show that the proposed LB needs less demanded radio resources of the maximum load cell than SFN mode for all the multicast services.

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Chunk-Based Resource Allocation in Multicast OFDMA Systems with Average BER Constraint

Cited by 24 publications

References 14 publications

Multicast Scheduling and Resource Allocation Algorithms for OFDMA-Based Systems: A Survey

Multicast Scheduling and Resource Allocation Algorithms for OFDMA-Based Systems: A Survey

A Statistical Model of Uplink Inter-Cell Interference with Slow and Fast Power Control Mechanisms

Load Balancing Scheme with PTM Mode for Multicast Services Between MBSFN

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