Variable-rate variable-power MQAM for fading channels

Goldsmith, Andrea; Chua, Soon-Ghee

doi:10.1109/26.634685

Cited by 2,039 publications

(1,253 citation statements)

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“…where    is the probability that the instantaneous output SNR,   of the link  falls in the   -th region [10], [12] , i.e., is the switching threshold for   -QAM at a given target BER,   . It can be bound by solving the inverse BER expression [10], [12] , i.e.,…”

Section: Average Spectral Efficiency (Ase)mentioning

confidence: 99%

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Network-Coded Bi-Directional Relaying Over an Asymmetric Channel

Ryu¹,

Lee²,

Kang³

2013

The Journal of Korea Information and Communications Society

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In this paper, we consider network-coded bi-directional relaying (NCBR) schemes over an asymmetric channel, in which bi-directional links have the different channel quality, as well as the asymmetric traffic load. In order to deal with asymmetric nature, two different types of NCBR schemes are considered: network coding after padding (NaP) and network coding after fragmentation (NaF). Even if NaP has been known as only a useful means of dealing with the asymmetry in traffic load up to now, our analysis shows that its gain can be significantly lost by the asymmetry in channel quality, under the given bit error performance constraint.Furthermore, it is shown that NaF always outperforms NaP, as well as traditional bi-directional relaying scheme.주저자：고려대학교 전기전자파공학과 무선정보시스템공학 연구실,

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Section: Average Spectral Efficiency (Ase)mentioning

confidence: 99%

“…Especially, NaP is a useful means for turbo coded systems, since the more channel coding gain can be achieved as the longer size of turbo-encoder packet is [10] . Due to this feature, NaP can improve the performance of NCBR scheme with turbo code in the sense of minimum error rate [7]- [9] .…”

Section: ⅰ Introductionmentioning

confidence: 99%

Network-Coded Bi-Directional Relaying Over an Asymmetric Channel

Ryu¹,

Lee²,

Kang³

2013

The Journal of Korea Information and Communications Society

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“…where W is the bandwidth of each subchannel, and b is the SINR gap, which is a constant related to the target bit error rate (BER) given as b = -1.5/ln(BER) using M-QAM modulation [30]. Then, the instantaneous data rate for user k at a given time slot becomes…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

Resource allocation for clustered network MIMO OFDMA systems

Botella

Svensson

2012

J Wireless Com Network

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In this article, we address the resource allocation problem for the downlink of a large network multiple input multiple output orthogonal frequency division multiplexing system with 3-sector base stations. The system is statically divided into a number of disjoint clusters of sectors. A two-step resource allocation scheme is proposed involving the inter-cluster and the intra-cluster levels. As a first step or inter-cluster level, two cooperative frequency reuse approaches are designed to mitigate the inter-cluster interference. A user partition method is proposed to divide the users of each cluster into cluster-edge and cluster-center users. To balance the cell-edge and the cellaverage performance, a fairness jug function is introduced to determine the frequency partition of the cooperative frequency reuse approaches. Then, as a second step or intra-cluster level, a utility-based joint scheduling and power allocation algorithm is proposed for each cluster, to maximize the sum utility of all users in the cluster under per-sector power constraints. Zero-forcing joint transmission is used across multiple sectors within the same cluster. Simulation results show that the proposed scheme can efficiently reduce the inter-cluster interference and provide considerable performance improvement in terms of both the cell-edge and cell-average user data rate. The proposed two-step resource allocation scheme can be implemented independently in each cluster without inter-cluster information exchange, which is an attractive property for practical systems, since it reduces both the network signaling overhead and the computational complexity.

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“…The concept is to adapt the transmission parameters, such as transmission power, transmission time and channel bandwidth, to the underlying channel, interference, and system preferences. The work [4] shows that adaptation can obtain up to 20 dB power saving over nonadaptive transmission for a single communication link. In multi-user systems, significant system performance gain can also be achieved by optimal transmission scheduling and power control.…”

Section: Introductionmentioning

confidence: 97%

Transmission Schemes for Lifetime Maximization in Wireless Sensor Networks: Uncorrelated Source Observations

Zhang

Tao

2007

IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference

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Abstract-We study transmission schemes for lifetime maximization in wireless sensor networks. Specifically we consider the network where all the sensors observe uncorrelated signals and forward the quantized observations to a common fusion center. We demonstrate how the minimum node lifetime is maximized under individual estimation accuracy constraints through adapting transmission times and powers assigned to different sensor nodes. A partially distributed algorithm is proposed to implement joint time sharing and power control, for which each sensor node only needs local information and little common information. In addition, we obtain a necessary and sufficient condition for convergence of the algorithm. Simulation results show a significant lifetime gain over existing schemes, especially when the sensing environment becomes more heterogeneous and the number of nodes increases.

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Variable-rate variable-power MQAM for fading channels

Cited by 2,039 publications

References 35 publications

Network-Coded Bi-Directional Relaying Over an Asymmetric Channel

Network-Coded Bi-Directional Relaying Over an Asymmetric Channel

Resource allocation for clustered network MIMO OFDMA systems

Transmission Schemes for Lifetime Maximization in Wireless Sensor Networks: Uncorrelated Source Observations

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