Opportunistic Feedback Assisted Scheduling and Resource Allocation in OFDMA Systems

Kang, Tae-Sung; Kim, Hyung-Myung

doi:10.1109/iccs.2006.301408

Cited by 7 publications

(3 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unlike the user pre-selection scheme considered in [32] based on ESNR based feedback, a best-M user pre-selection method can result in improved link capacity when compared to a scheme not incorporating the user pre-selection stage for the proposed SCI scheduling scheme.…”

Section: A Spectral Efficiency Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Reduced feedback selective cluster index scheduling with user pre-selection for next-generation multi-input multi-output orthogonal frequency division multiple access systems

et al. 2011

View full text Add to dashboard Cite

Section: A Spectral Efficiency Resultsmentioning

confidence: 99%

“…The scheme proposed in [32] identifies the strongest users in the temporal dimension by averaging channel gains across the frequency domain. The best-M user subset is determined based on the corresponding average SNR values.…”

Section: A Best-m User Pre-selectionmentioning

confidence: 99%

Reduced feedback selective cluster index scheduling with user pre-selection for next-generation multi-input multi-output orthogonal frequency division multiple access systems

et al. 2011

View full text Add to dashboard Cite

“…The downlink dynamic packet scheduler exploits the channel quality indicator (CQI) reports from the UE for performing resource allocation and MCS selection for individual data transmission [26], [27], [28]. The CQI is periodically reported by the UE every N TTIs with a sub-band resolution of y ≤ Y RBs in frequency.…”

Section: A Basic Link Adaptationmentioning

confidence: 99%

Scheduling Enhancements and Performance Evaluation of Downlink 5G Time-Sensitive Communications

Abreu¹,

Pocovi²,

Jacobsen³

et al. 2020

IEEE Access

View full text Add to dashboard Cite

Time-sensitive communications (TSC) in wireless networks is an emerging paradigm that gains research momentum as an enabler of the industrial Internet of Things. As compared to ultra-reliable low-latency communications (URLLC) in fifth-generation cellular networks, TSC has stricter requirements in terms of latency and reliability, and also demands absolute time-synchronization and on-time delivery of packets for deterministic and isochronous real-time applications. In this regard, a key question is how to schedule TSC traffic flows effectively. This paper presents a radio resource allocation strategy for deterministic downlink TSC flows leveraging traffic pattern knowledge. Taking physical layer control channel effects into account, a comparison of semi-persistent and dynamic packet scheduling methods is presented as well as necessary enhancements to link adaptation and interference coordination procedures. With the proposed methods, the network capacity in terms of number of supported TSC flows can be more than doubled compared to traditional dynamic scheduling methods as commonly assumed for URLLC applications.

show abstract

Capacity analysis of simple and opportunistic feedback schemes in OFDMA Systems

Jung

Ban

Choi

et al. 2007

2007 International Symposium on Communications and Information Technologies

View full text Add to dashboard Cite

We mathematically analyze the system capacity of one simple feedback scheme and two opportunistic feedback schemes: simple-feedback, max-feedback, and max-nfeedback schemes, in orthogonal frequency division multiple access (OFDMA) systems. The maximum signal-to-noise ratio (SNR) scheduling strategy can be used as a scheduling criterion at base stations (BSs). In the simple-feedback scheme, each user sends the received SNRs of all sub-bands to the BS for frequency domain scheduling (FDS) at the BS. In two opportunistic feedback (OFB) schemes: max-feedback and maxn-feedback schemes, each user sends the reduced number of SNR values among the SNR values of all sub-bands in order to reduce the feedback overhead. In this paper, we derive the system capacity of the simple-feedback and max-feedback schemes in a closed-form. In addition, we derive the upper-bound of the system capacity of the max-n-feedback scheme. The analytical results agree with computer simulation results. Furthermore, the results show that the OFB schemes can reduce the feedback overhead, while the multiuser diversity can be maintained as the number of user increases.

show abstract

Opportunistic Feedback Assisted Scheduling and Resource Allocation in OFDMA Systems

Cited by 7 publications

References 6 publications

Reduced feedback selective cluster index scheduling with user pre-selection for next-generation multi-input multi-output orthogonal frequency division multiple access systems

Reduced feedback selective cluster index scheduling with user pre-selection for next-generation multi-input multi-output orthogonal frequency division multiple access systems

Scheduling Enhancements and Performance Evaluation of Downlink 5G Time-Sensitive Communications

Capacity analysis of simple and opportunistic feedback schemes in OFDMA Systems

Contact Info

Product

Resources

About