Name
Title | ||
|---|---|---|
Quality of Service and Max-Min Fair Transmit Beamforming to Multiple Cochannel Multicast Groups |
Abstract | ||
|---|---|---|
The problem of transmit beamforming to multiple cochannel multicast groups is considered, when the channel state is known at the transmitter and from two viewpoints: minimizing total transmission power while guaranteeing a prescribed minimum signal-to-interference-plus-noise ratio (SINR) at each receiver; and a "fair" approach maximizing the overall minimum SINR under a total power budget. The core problem is a multicast generalization of the multiuser downlink beamforming problem; the difference is that each transmitted stream is directed to multiple receivers, each with its own channel. Such generalization is relevant and timely, e.g., in the context of the emerging WiMAX and UMTS-LTE wireless networks. The joint problem also contains single-group multicast beamforming as a special case. The latter (and therefore also the former) is NP-hard. This motivates the pursuit of computationally efficient quasi-optimal solutions. It is shown that Lagrangian relaxation coupled with suitable randomization/cochannel multicast power control yield computationally efficient high-quality approximate solutions. For a significant fraction of problem instances, the solutions generated this way are exactly optimal. Extensive numerical results using both simulated and measured wireless channels are presented to corroborate our main findings. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/TSP.2007.909010 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
max-min fair transmit,multiple cochannel multicast groups,umts-lte wireless network,multiple cochannel multicast group,cochannel multicast power control,total transmission power,problem instance,joint problem,total power budget,single-group multicast,core problem,multicast generalization,convex optimization,max min fairness,computational modeling,wireless networks,quality of service,wimax,downlink,lagrangian relaxation,power control,signal to interference plus noise ratio,wireless network,broadcasting,multicasting,signal to noise ratio,transmitters | Power budget,Beamforming,Wireless network,Mathematical optimization,Computer science,Power control,Signal-to-interference-plus-noise ratio,Multicast,Lagrangian relaxation,Telecommunications link | Journal |
Volume | Issue | ISSN |
56 | 3 | 1053-587X |
Citations | PageRank | References |
203 | 10.85 | 8 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eleftherios Karipidis | 1 | 429 | 34.53 |
| N. D. Sidiropoulos | 2 | 930 | 69.06 |
| Zhi-Quan Luo | 3 | 7506 | 598.19 |