RFID-enabled applications have developed at a rapid pace and are therefore one of the main research interests in recent years. RFID, particularly passive UHF RFID, has been used for a wide variety of applications ranging from familiar access control, supply chain management, library item tracking, internal security, toll collection and in the aviation industry. Its ability to attach information to real-world products inexpensively and retrieve it without requiring physical contact is the main reason for its wide range of applications. It has been used to track, monitor and manage items as they move between different physical locations. Although RFID has been heralded by many as the next generation barcode, critical challenges such as security and other technical issues have hampered the global adoption of RFID. RFID faces many problems which have been summarized in [2,3]. The fundamental aspect of RFID that has truly hindered its adoption is the challenge of consistently reading tags in the real-world environment. There are many methods that suggest different ways to improve reading performance. Paper [4-6] suggests the design of an RFID tag antenna through which the effects of different materials surrounding them (such as metal and water), as described in [7-10], can be reduced. Ideally, reading performance should not be affected by tag orientation. But the orientation of the tags has a considerable effect, especially when coupled with a filled package, as mentioned in [10]. Although it is not possible to change the orientation of a beacon or pre-specify the orientation of a beacon, it is important to understand the implications of the beacon's orientation. In [11], it was observed experimentally that even 30 degrees...... middle of paper ...... transmit beamforming using feedback control,'' IEEE Trans. on Inform. Th.27. Johnson, M. Mitzenmacher, M. Ramchandran, K., "Distributed beamforming with binary signaling", Information Theory, 2008. ISIT 2008. IEEE International Symposium, Publication date: July 6-11, 2008 On page( s): 890-89428. G. Barriac, R. Mudumbai, and U. Madhow, “Distributed beamforming for information transfer in sensor networks,” in IPSN'04: Proc. of the Third International Symposium on Information Processing in Sensor Networks, 2004, pp. 81--88.29. Changxin Shi, Randall A. Berry, and Michael L. Honig, “Local Interference Pricing for Distributed Beamforming in MIMO Networks”30. Gomadam, KS Jafar, SA, "Optimal Distributed Beamforming in Relay Networks with Common Interference", World Telecommunication Conference, 2007. GLOBECOM '07. IEEE Publication Date: November 26-30. 2007