Resource-redistributive opportunistic scheduling for wireless systems

Cho, Hangyu; Andrews, Jeffrey G.

doi:10.1109/twc.2009.070477

Cited by 12 publications

(6 citation statements)

References 36 publications

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“…Each user requests an uplink and a downlink transmissions to the BS. We assume that the data to/from each user is infinitely backlogged so that there are always data to transmit as in many works regarding downlink [16] and Twoway Relaying optimization [17] and scheduling [18], [19]. Thus the achievable rate for a user at a certain time is equal to the information theoretic capacity, i.e.…”

Section: System Modelmentioning

confidence: 99%

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Multi-Flow Scheduling for Coordinated Direct and Relayed Users in Cellular Systems

Thai

Popovski

Kaneko

et al. 2013

IEEE Trans. Commun.

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There are two basic principles used in wireless network coding to design throughput-efficient schemes: (1) aggregation of communication flows and (2) interference is embraced and subsequently cancelled or mitigated. These principles inspire design of many novel multi-flow transmission (MFT) schemes. Such are the Coordinated Direct/Relay (CDR) schemes, where each basic transmission involves two flows to a direct and a relayed user. Usage of MFT schemes as building blocks of more complex transmission schemes essentially changes the problem of scheduling, since some of the flows to be scheduled are coupled in a signal domain and they need to be assigned a communication resource simultaneously. In this paper we define a novel framework that can be used to analyze MFT schemes and assess the system-level gains. The framework is based on cellular wireless users with two-way traffic and it sets the basis for devising composite time-multiplexed MFT schemes, tailored to particular optimization criteria. Those criteria can be formulated by adapting well-known schedulers in order to incorporate MFT schemes. The results show rate advantages brought by the CDR schemes in pertinent scenarios. Another key contribution is the proposed framework, which can be used to evaluate any future multi-flow transmission scheme.

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Section: System Modelmentioning

confidence: 99%

“…In this part we use Proportional Fairness (PF) [18], [22]- [24] as a metric for selecting a user pair in an epoch. In an epoch, PF selects the user with the highest ratio of its instantaneous rate and its average rate to serve.…”

Section: Proportional Fairnessmentioning

confidence: 99%

Multi-Flow Scheduling for Coordinated Direct and Relayed Users in Cellular Systems

Thai

Popovski

Kaneko

et al. 2013

IEEE Trans. Commun.

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“…2. We assume that the data to/from each user is infinitely backlogged so that there is always data to transmit [10]. In each scheme, depending on the channel status, message s i , i ∈ {1, ..., 4} can be divided into sub-messages s i,1 and…”

Section: System Modelmentioning

confidence: 99%

Rate regions for coordination of Decode-and-Forward relays and direct users

Thai

Popovski

2012

2012 IEEE International Conference on Communications (ICC)

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Recently, the ideas of wireless network coding (NC) has significantly enriched the area of wireless cooperation/relaying. They bring substantial gains in spectral efficiency mainly in scenarios with two-way relaying. Inspired by the ideas of wireless NC, recently we have proposed techniques for coordinated direct/relay (CDR) transmissions. Leveraging on the fact that the interference can be subsequently canceled, these techniques embrace the interference among the communication flows to/from direct and relayed users. Hence, by allowing simultaneous transmissions, spectral efficiency is increased. In our prior work, we have proposed CDR with Decode-and-Forward (DF) relay in two scenarios. In this paper, we extend the two existing regenerative CDR schemes and proposed for the other two scenarios such that all schemes benefit from the aforementioned principle of containing the interference. The parameters in the schemes are optimized to have the largest rate region or the highest sum-rate. Numerical results show that DF CDR is better than the reference scheme and almost better than AF CDR.

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“…The main idea of opportunistic allocation is to allocate more resources to links with good channel conditions while to allocate less resource to links with poor channel conditions. It is shown that opportunistic allocation schemes provide higher system performance than non-opportunistic schemes by exploiting time-varying channel states (Cho and Andrews, 2009;Lee et al, 2006;Liu et al, 2001;Shen and Zhao, 2009;Zhan et al, 2009), which is also one of our motivations for the research in this paper. In this work, an IAPSO is proposed on the basis of the original APSO (Zhan et al, 2009).…”

Section: Introductionmentioning

confidence: 98%