Proportional fair scheduling in relay enhanced cellular OFDMA systems

Ahn, Woogeun; Kim, Hyung-Myung

doi:10.1109/pimrc.2008.4699564

Cited by 21 publications

(19 citation statements)

References 7 publications

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“…Although such practical constraint enables the reference PFS to partially exploit the traffic diversity, it does not prevent resource under-utilization. methodology [28], [33]. First, a substantial 5th-percentile throughput advantage of 540% is realized for the proposed scheme in its open routing mode as compared to the PFS scheme which possesses a poor lower tail behavior.…”

Section: B Simulation Results and Discussionmentioning

confidence: 95%

“…Therefore, integrating PFS with the most commonly adopted RRM techniques in the literature of OFDMA relay networks represents a reasonable reference scheme. The generic framework is to partition the UTs into clusters around the chosen serving nodes (BS and RSs), partition resources among nodes accordingly, then allow individual nodes to perform PFS as adopted in OFDMA-based systems [13], [28]. Some essential details of the PFS-based scheme are shown in Fig.…”

Section: Pfs-based Rrm In Ofdma Relay Networkmentioning

confidence: 99%

“…Through the strategy described earlier, some heuristics have integrated PFS into combined relay and OFDMA technologies such as in [31], [28], and the partial proportional fair (PPF) scheduler in [32]. Since the BS node is required to allocate the resources among the direct UTs and the feeder links of the RSs, a priority metric, similar to that in (12), for such feeders to contend with direct UTs has been proposed in [31].…”

Section: =1mentioning

confidence: 99%

“…Since the BS node is required to allocate the resources among the direct UTs and the feeder links of the RSs, a priority metric, similar to that in (12), for such feeders to contend with direct UTs has been proposed in [31]. For the relay-enhanced scheme proposed in [28], a potential improvement in proportional fairness sense can be realized through the clustering (routing) criterion of UTs which aims as well at maximizing the proportional fairness metric, ∑ log .…”

Section: =1mentioning

confidence: 99%

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Fairness-aware radio resource management in downlink OFDMA cellular relay networks

Salem

Adinoyi

Rahman

et al. 2010

IEEE Trans. Wireless Commun.

112

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Abstract-Relaying and orthogonal frequency division multiple access (OFDMA) are the accepted technologies for emerging wireless communications standards. The activities in many wireless standardization bodies and forums, for example IEEE 802.16 j/m and LTE-Advanced, attest to this fact. The availability or lack thereof of efficient radio resource management (RRM) could make or mar the opportunities in these networks. Although distributed schemes are more attractive, it is essential to seek outstanding performance benchmarks to which various decentralized schemes can be compared. Therefore, this paper provides a comprehensive centralized RRM algorithm for downlink OFDMA cellular fixed relay networks in a way to ensure user fairness with minimal impact on network throughput. In contrast, it has been observed that pure opportunistic schemes and fairness-aware schemes relying solely on achievable and allocated capacities may not attain the desired fairness, e.g., proportional fair scheduling. The proposed scheme is queueaware and performs three functions jointly; dynamic routing, fair scheduling, and load balancing among cell nodes. We show that the proposed centralized scheme is different from the traditional centralized schemes in terms of the substantial savings in complexity and feedback overhead.

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Section: B Simulation Results and Discussionmentioning

confidence: 95%

Section: Pfs-based Rrm In Ofdma Relay Networkmentioning

confidence: 99%

Section: =1mentioning

confidence: 99%

Section: =1mentioning

confidence: 99%

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Fairness-aware radio resource management in downlink OFDMA cellular relay networks

Salem

Adinoyi

Rahman

et al. 2010

IEEE Trans. Wireless Commun.

112

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“…If the fairness is enforced in the constraints of the scheduling optimization [2], [3], [6], the minimum rates must be known in advance and the their feasibility must be checked by another mechanism. Another approach is to provide fairness with careful selection of the objective functions to achieve proportional fairness [4] or generalized fairness [5] similar to this paper. However, in those works fairness was limited to short-term time-scales.This paper extends the previous work to a more general framework where we can control the time-scale of the fairness.…”

Section: Introductionmentioning

confidence: 99%

Mixed Time-Scale Generalized Fair Scheduling for Amplify-and-Forward Relay Networks

Sharifian

Djukic

Yanıkömeroğlu

et al. 2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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Abstract-We devise an optimization framework for generalized proportional fairness (GPF) under different time scales for amplify-and-forward (AF) relay networks. In GPF scheduling, a single input parameter is used to change the fairness from throughput optimal, to proportionally fair and asymptotically to max-min fair. We extend the GPF scheduling to include a new input parameter, which determines the time-scale of fairness from short-term GPF to long-term GPF. We devise a low-complexity near-optimal algorithm to find schedules satisfying the given fairness criteria in a given time-scale. Simulations show that the proposed algorithm indeed allows the flexibility to change the fairness and its time-scale. To the best of our knowledge, this paper is the first to provide a multi-user scheduling framework for AF relays with both flexible fairness and flexible time-scales.Index Terms-Long-term fairness, generalized fairness, amplify-and-forward relays.

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Distributed two‐hop proportional fair resource allocation in Long Term Evolution Advanced networks

Sun

Wang

Zhang

et al. 2014

Wireless Communications

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In Long Term Evolution Advanced networks with Type I in-band half-duplex decode-and-forward relay nodes, proportional fair (PF) resource allocation is aiming at guaranteeing two-hop match and optimising global proportional fairness. The twohop match is defined as equal data rates in the access links and the corresponding backhaul links. The global proportional fairness is between all the user equipments served by the evolved nodes B and the relay nodes. Existing centralised schemes achieve these targets at the cost of enormous channel state information (CSI) exchange. Existing distributed schemes focus on resource partitioning and employ a traditional single-hop PF scheduling algorithm in access links, with less CSI exchange. The traditional PF scheduling algorithm maximises single-hop proportional fairness between the data rates in the access links rather than two-hop proportional fairness between the end-to-end data rates in the two hops. In order to reduce CSI exchange and at the same time to maximise the two-hop proportional fairness, a distributed two-hop PF resource allocation scheme is proposed. The proposed scheme includes two-hop PF resource scheduling algorithms and adaptive resource partitioning algorithms, applied in different two-hop transmission protocols. Simulation results demonstrate the proposed scheme is better than the existing distributed schemes in obtaining better proportional fairness and larger celledge user equipment throughputs.

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Proportional fair scheduling in relay enhanced cellular OFDMA systems

Cited by 21 publications

References 7 publications

Fairness-aware radio resource management in downlink OFDMA cellular relay networks

Fairness-aware radio resource management in downlink OFDMA cellular relay networks

Mixed Time-Scale Generalized Fair Scheduling for Amplify-and-Forward Relay Networks

Distributed two‐hop proportional fair resource allocation in Long Term Evolution Advanced networks

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