Cross-layer issues in MAC protocol design for MIMO ad hoc networks

Zorzi, Michele; Zeidler, J.R.; Anderson, A.L.; Rao, Bhaskar D.; Proakis, J.G.; Swindlehurst, A. Lee; Jensen, M.A.; Krishnamurthy, Srikanth V.

doi:10.1109/mwc.2006.1678167

Cited by 70 publications

(39 citation statements)

References 57 publications

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“…Exploiting the characteristics of MIMO technology in the physical layer and translating its performance gains to higher layers has motivated integrated, cross-layer approaches [11]. The main challenge in the integration of the MIMO models to the higher layers is the accurate computation of the MIMO channel capacity, which requires complex matrix operations and methods that do not provide closed-form solutions.…”

Section: Related Work and Backgroundmentioning

confidence: 99%

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Resource allocation for statistical QoS guarantees in MIMO cellular networks

Memis

Erçetin

Gürbüz

et al. 2015

J Wireless Com Network

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This work considers the performance of the downlink channel of MIMO cellular networks serving multiple users with different statistical QoS requirements. The paper proposes resource allocation algorithms that aim to optimize the system performance over the sum of the optimal user utility functions by employing the effective capacity theory. Proportionally fair resource allocation among the users is performed via two different approaches and solutions, namely, the Frame Allocation Algorithm (FAA), which involves dynamic time allocation for transmit beamforming, and the Power Allocation Algorithm (PAA), which provides optimal power control for space division multiple access. In FAA, each user is assigned a distinct slot of optimal length, based on the instantaneous channel conditions of the active users in each frame; while in PAA, resource allocation is performed via power assignment by taking into account the long-term averages of the channel conditions across all users. The efficacy of the proposed algorithms are demonstrated via numerical experiments considering realistic channel models and various QoS settings.

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Section: Related Work and Backgroundmentioning

confidence: 99%

“…Effective capacity of a link with encoding order o This is performed in the second loop (steps [10][11][12][13][14][15]. Note that we have denoted ζ l (β, ) from (28) with ζ o (β) indicating that it represents a given encoding order o and no longer has as a parameter.…”

Section: Effective Capacity Formulationmentioning

confidence: 99%

Resource allocation for statistical QoS guarantees in MIMO cellular networks

Memis

Erçetin

Gürbüz

et al. 2015

J Wireless Com Network

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show abstract

“…As mentioned in Section 3.2, a block-fading model with independent and identically distributed complex Gaussian entries ∼ CN (0, 1) has been considered, with a noise variance of 0.1. 6 Each block corresponds to the duration of a frame sequence and no correlations have been assumed among the different blocks. This model has been employed to generate a SNIR matrix that represents the channel condition of each user on a frame-by-frame basis.…”

Section: Simulation Setupmentioning

confidence: 99%

Multiuser MAC Schemes for High-Throughput IEEE 802.11n/ac WLANs

Kartsakli¹,

Alonso²,

Verikoukis³

2013

Recent Trends in Multi-User MIMO Communications

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“…By using multiple antennas for transmitting and receiving, several performance improvements can be achieved in a MIMO system [18]. 1) Transmit diversity: The same information is sent on different antennas to increase the reliability, which, in turn, increases the throughput in the MAC layer.…”

Section: ) Mimo Control and Schedulingmentioning

confidence: 99%

Cross-Layer Design in Wireless Mesh Networks

Akyildiz

Wang²

2008

IEEE Trans. Veh. Technol.

110

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Abstract-The conventional layered-protocol architecture does not provide optimal performance for wireless mesh networks (WMNs). The method of optimization decomposition of the protocol stack can achieve optimal network performance. This method usually results in a clean-slate protocol architecture that is different from the protocol architecture of WMNs. Such a difference actually demonstrates the need for a cross-layer design. Specific features pertaining to WMNs also show the need for cross-layer optimization across different protocol layers. In this paper, motivations for cross-layer design in WMNs are stated first. Moreover, cross-layer optimization schemes and algorithms between different protocol layers are investigated with an objective of shedding light on open research problems and new approaches. Guidelines for carrying out cross-layer design in WMNs are also provided in this paper.

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Cross-layer issues in MAC protocol design for MIMO ad hoc networks

Cited by 70 publications

References 57 publications

Resource allocation for statistical QoS guarantees in MIMO cellular networks

Resource allocation for statistical QoS guarantees in MIMO cellular networks

Multiuser MAC Schemes for High-Throughput IEEE 802.11n/ac WLANs

Cross-Layer Design in Wireless Mesh Networks

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