Index Policies for Resource Allocation in Wireless Networks

Bolia, Nomesh B.; Kulkarni, Vidyadhar G.

doi:10.1109/tvt.2008.2005101

Cited by 5 publications

(25 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hence the rate R (0,1) corresponds to the cumulative bit-rate of the scalable video stream consisting of video layersṼ (0,0) andṼ (0,1) . The differential rateR (0,1) comprising exclusively of the differential video rate arising (1,1) 226.40 67.730 0) ) 32.4000 2.8343 8.640 0.3280 V (1,2) 441.60 74.843 (2,1) 292.80 78.541 0) ))/2 18.1500 0.7924 4.840 0.1637 V (2,2) 575.90 86.788 1) ))/2 33.9500 0.5676 9.053 0.0627 V (3,0) 171.40 68.735 (Y (3,0) − Y (2,0) )/4 8.4750 0.4269 2.260 0.1889 V (3,1) 369.70 80.542 0) ))/4 10.7500 0.0733 2.866 0.0256 V (3,2) 727.30 89.000 from the quality layer enhancement frames is given as,…”

Section: ) Video Layer Frame Size Modelmentioning

confidence: 99%

“…In the next section we derive an optimal policy towards video quality maximization while ensuring fairness in QoS. (1,2) 0.8982 0.3289 0.1168 0.0389 V (2,0) 9.3842 2.7179 1.1494 0.7410 V (2,1) 0.8447 0.2993 0.1637 0.0639 V (2,2) 0.3737 0.1405 0.0627 0.0223 V (3,0) 1.2832 0.4206 0.1889 0.2299 V (3,1) 0.1351 0.0424 0.0256 0.0170 V (3,2) 0.0638 0.0198 0.0106 0.0063 …”

Section: ) Video Layer Quality Modelmentioning

confidence: 99%

“…Employing the framework illustrated in [3], we model the scalable video scheduling scenario as a Markov Decision Process (MDP). The state of user u at time n is modeled as a combination of the channel state s n u and the video state v n u of the head of the queue frame of user u.…”

Section: Index Based Scalable Video Policy (Isvp)mentioning

confidence: 99%

“…We therefore employ the novel procedure proposed in [3] to derive the optimal scalable video scheduling policy termed ISVP.…”

Section: Index Based Scalable Video Policy (Isvp)mentioning

confidence: 99%

“…Further, it is essential to derive optimal scheduling algorithms towards net video quality maximization also ensuring fairness based QoS. Recently, in [3], a novel index based scheduling policy has been derived for fairness aware throughput maximization in wireless networks based on a Markov decision process (MDP) formulation. Based on the scheme proposed therein, we set up the video scheduling problem as an MDP and derive a novel video utility index based scalable video scheduling policy (ISVP) for scheduling of scalable video data.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Quality optimal policy for H.264 scalable video scheduling in broadband multimedia wireless networks

Reddyvari

Jagannatham

2012

2012 International Conference on Signal Processing and Communications (SPCOM)

View full text Add to dashboard Cite

In this paper we consider the problem of optimal H.264 scalable video scheduling, with an objective of maximizing the end user video quality while ensuring fairness in 3G/4G broadband wireless networks. We propose a novel framework to characterize the video quality based utility of the H.264 temporal and quality scalable video layers. Subsequently we formulate the scalable video scheduling framework as a Markov decision process (MDP) for long term average video utility maximization and derive an optimal index based scalable video scheduling policy (ISVP) towards video quality maximization. This framework employs a reward structure which incorporates video quality and user starvation, thus leading to video quality maximization, while not compromising fairness. Simulation results demonstrate that the proposed ISVP outperforms the Proportional Fairness (PF) and Linear Index Policy (LIP) schedulers in terms of end user video quality.

show abstract

Section: ) Video Layer Frame Size Modelmentioning

confidence: 99%

Section: ) Video Layer Quality Modelmentioning

confidence: 99%

Section: Index Based Scalable Video Policy (Isvp)mentioning

confidence: 99%

“…We therefore employ the novel procedure proposed in [3] to derive the optimal scalable video scheduling policy termed ISVP.…”

Section: Index Based Scalable Video Policy (Isvp)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Quality optimal policy for H.264 scalable video scheduling in broadband multimedia wireless networks

Reddyvari

Jagannatham

2012

2012 International Conference on Signal Processing and Communications (SPCOM)

View full text Add to dashboard Cite

show abstract

Optimal Scalable Video Scheduling Policies for Real-Time Single- and Multiuser Wireless Video Networks

Otwani

Agarwal

Jagannatham

2015

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

An efficient time slot allocation algorithm in wireless networks

Lin

Lee

Lin

2010

2010 IEEE International Conference on Wireless Communications, Networking and Information Security

View full text Add to dashboard Cite

Wireless communication networks provide convenience, however, also challenges to multimedia services due to typically limited bandwidth and various Quality of Service (QoS) requirements. For a wireless communication network service provider/administrator, it is then essential to develop an effective resource allocation policy so as to fully satisfy possibly different QoS requirements by different classes of traffic; while in the meantime, for example, the overall long term system revenue rate can be maximized. In this paper, we consider the problem of time slot allocation for multiple classes of traffic in wireless networks under throughput and delay constraints. To solve the problem, we propose an algorithm that is a novel combination of the Markovian decision process (MDP) and Lagrangean relaxation (LR). Another primal heuristic based on the policy enhancement algorithm is also developed for comparison purposes. Our experiment results show that the proposed approach can find a near optimal time slot allocation policy to maximize long-term system revenue under QoS requirements.

show abstract

Index Policies for Resource Allocation in Wireless Networks

Cited by 5 publications

References 17 publications

Quality optimal policy for H.264 scalable video scheduling in broadband multimedia wireless networks

Quality optimal policy for H.264 scalable video scheduling in broadband multimedia wireless networks

Optimal Scalable Video Scheduling Policies for Real-Time Single- and Multiuser Wireless Video Networks

An efficient time slot allocation algorithm in wireless networks

Contact Info

Product

Resources

About