Name
Title | ||
|---|---|---|
Adaptive resource allocation in multiuser OFDM systems with proportional rate constraints |
Abstract | ||
|---|---|---|
Multiuser orthogonal frequency division multiplexing (MU-OFDM) is a promising technique for achieving high downlink capacities in future cellular and wireless local area network (LAN) systems. The sum capacity of MU-OFDM is maximized when each subchannel is assigned to the user with the best channel-to-noise ratio for that subchannel, with power subsequently distributed by water-filling. However, fairness among the users cannot generally be achieved with such a scheme. In this paper, a set of proportional fairness constraints is imposed to assure that each user can achieve a required data rate, as in a system with quality of service guarantees. Since the optimal solution to the constrained fairness problem is extremely computationally complex to obtain, a low-complexity suboptimal algorithm that separates subchannel allocation and power allocation is proposed. In the proposed algorithm, subchannel allocation is first performed by assuming an equal power distribution. An optimal power allocation algorithm then maximizes the sum capacity while maintaining proportional fairness. The proposed algorithm is shown to achieve about 95% of the optimal capacity in a two-user system, while reducing the complexity from exponential to linear in the number of subchannels. It is also shown that with the proposed resource allocation algorithm, the sum capacity is distributed more fairly and flexibly among users than the sum capacity maximization method. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/TWC.2005.858010 | IEEE Transactions on Wireless Communications |
Keywords | Field | DocType |
channel-to-noise ratio,proportional rate constraints,optimisation,multiuser channels,high downlink capacity,sum capacity,subchannel allocation,suboptimal algorithm,multiuser ofdm system,proportional fairness,optimal capacity,optimal power allocation algorithm,power allocation algorithm,quality of service,proportional rate constraint,ofdm modulation,orthogonal frequency division multiplexing,water-filling distribution,cellular systems,low-complexity suboptimal algorithm,resource allocation,sum capacity maximization method,channel allocation,multiuser ofdm,computational complexity,proposed resource allocation algorithm,mobile radio,proposed algorithm,power allocation,channel capacity,multiuser ofdm systems,water-filling,dynamic resource allocation,adaptive resource allocation,proportional fairness constraints,wireless local area network systems,wireless local area network,proportional fair | Max-min fairness,Computer science,Computer network,Quality of service,Real-time computing,Resource allocation,Channel allocation schemes,Channel capacity,Orthogonal frequency-division multiplexing,Computational complexity theory,Telecommunications link | Journal |
Volume | Issue | ISSN |
4 | 6 | 1536-1276 |
Citations | PageRank | References |
506 | 29.88 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zukang Shen | 1 | 1478 | 91.53 |
| J. G. Andrews | 2 | 506 | 29.88 |
| B. L. Evans | 3 | 2819 | 228.43 |