60GHz_multicast-master
所属分类：*行业应用
开发工具：matlab
文件大小：13313KB
下载次数：3
上传日期：2018-10-08 17:29:46
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4714635
说明： 在本文中，我们设计，实施和实验性地评估可扩展定向多播（SDM）技术，以1）通过部分遍历码本树以每波束每客户端RSSI测量来训练接入点。培训平衡了收集足够数据以形成有效波束组的限制开销的目标。 2）利用可用的训练信息，设计了一种近似最小组播组数据传输时间的可扩展波束分组算法。
(In this paper, we design, implement and experimentally evaluate scalable directional multicast (SDM) technology to train access points by partially traversing the codebook tree with RSSI measurements per beam per client. The training balanced the goal of collecting enough data to form the limiting cost for effective beam formation. 2) Using available training information, a scalable beam grouping algorithm with approximate minimum multicast group data transmission time is designed.)
文件列表:
60GHz_measurements (0, 2017-03-21)
60GHz_measurements\Initialize.m (758, 2017-03-21)
60GHz_measurements\MotorControls (0, 2017-03-21)
60GHz_measurements\MotorControls\CineMoco (0, 2017-03-21)
60GHz_measurements\MotorControls\CineMoco\CloseMotor.m (116, 2017-03-21)
60GHz_measurements\MotorControls\CineMoco\OpenMotor.m (206, 2017-03-21)
60GHz_measurements\MotorControls\CineMoco\RotateMotorAngle.m (228, 2017-03-21)
60GHz_measurements\MotorControls\CineMoco\testserial.m (113, 2017-03-21)
60GHz_measurements\MotorControls\RotatingTable (0, 2017-03-21)
60GHz_measurements\MotorControls\RotatingTable\GoToAngle.m (1407, 2017-03-21)
60GHz_measurements\Parameters.m (1110, 2017-03-21)
60GHz_measurements\RunSetUnOptimized.m (3685, 2017-03-21)
60GHz_measurements\SetTransmissionConstants.m (1294, 2017-03-21)
60GHz_measurements\TransmissionOld.m (12090, 2017-03-21)
60GHz_measurements\WARP_Init.m (3258, 2017-03-21)
60GHz_measurements\extractresults.m (3818, 2017-03-21)
60GHz_measurements\global_params_incr.mat (2320631, 2017-03-21)
60GHz_measurements\inferno.m (16619, 2017-03-21)
60GHz_measurements\monotonicity_test.m (6816, 2017-03-21)
60GHz_measurements\mydate.m (807, 2017-03-21)
60GHz_measurements\plot_results.m (1728, 2017-03-21)
60GHz_measurements\rcosdesign.m (3717, 2017-03-21)
60GHz_measurements\results_compilation.m (8017, 2017-03-21)
SDM_main_protocol (0, 2017-03-21)
SDM_main_protocol\DataRate.m (2583, 2017-03-21)
SDM_main_protocol\ascending_order_traversal_test.m (3176, 2017-03-21)
SDM_main_protocol\beam_gen_SDM.m (5363, 2017-03-21)
SDM_main_protocol\beam_gen_aot.m (2276, 2017-03-21)
SDM_main_protocol\beam_gen_exhaustive.m (3163, 2017-03-21)
SDM_main_protocol\beam_gen_exhaustive_client_assign.m (6278, 2017-03-21)
SDM_main_protocol\beam_gen_ilow.m (3831, 2017-03-21)
SDM_main_protocol\beam_gen_only_finest.m (740, 2017-03-21)
SDM_main_protocol\beam_gen_random_select.m (5036, 2017-03-21)
SDM_main_protocol\beam_gen_sail.m (3832, 2017-03-21)
SDM_main_protocol\beam_gen_swirl.m (5220, 2017-03-21)
SDM_main_protocol\beam_gen_swirl_rapid.m (5938, 2017-03-21)
SDM_main_protocol\experimental_evaluation.m (5411, 2017-03-21)
SDM_main_protocol\inferno.m (16619, 2017-03-21)
... ...
# Scalable Multicast in Highly-Directional 60 GHz WLANs
S. Naribole and E. Knightly, “Scalable Multicast in Highly-Directional 60 GHz WLANs,” in Proceedings of IEEE SECON 2016, London, UK, June 2016.
## Abstract
Abstract:
60 GHz bands target multi-gigabit rate applications such as high definition video streaming. Unfortunately, to provide multicast service, the strong directionality required at 60 GHz precludes serving all clients in a multicast group with a single transmission. Instead, a multicast transmission is comprised of a sequence of beam-formed transmissions (a beam group) that together cover all multicast group members. In this paper, we design, implement, and experimentally evaluate Scalable Directional Multicast (SDM) as a technique to (i) train the access point with per-beam per client RSSI measurements via partially traversing a codebook tree. The training balances the objectives of limiting overhead with collecting sufficient data to form efficient beam groups. (ii) Using the available training information, we design a scalable beam grouping algorithm that approximates the minimum multicast group data transmission time. We implement the key components of SDM and evaluate with a combination of over the-air experiments and trace-driven simulations. Our results show that the gains provided by SDM increase with group size and provide near-optimal group selection with significantly reduced training time, yielding up to 1.8x throughput gains over exhaustive-search training and grouping.
## IEEE SECON 2016 Publication
- [IEEE Listing](http://ieeexplore.ieee.org/document/7733014/)
- [Paper](http://networks.rice.edu/files/2016/03/SDM-r36n3b.pdf)
- [Conference talk slides](http://networks.rice.edu/files/2016/07/SECON_SDM_sharan-2257bi8.pdf)
- [Conference 1-min video](https://www.youtube.com/watch?v=-bieBfboWNA)
- [90 second lightning talk](https://www.youtube.com/watch?v=e3Ig0rMCaXU) at [SCREECH 2014](http://screech.blogs.rice.edu/) organized by Rice Center for Engineering Leadership.
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