Resource allocation for Distributed Broadband Wireless System using Manhattan scenario

DBWS (Distributed Broadband Wireless System) is a new communication paradigm in which different terminals in the wireless network share their antennas and other resources for distributed transmission and processing. Recent studies have shown that Distributed wireless system can yield significant performance improvement due to spatial diversity gains. The theory of DBWS is, however, still a lot more to explore to fully understand its wider impacts on the design of future networks wireless. There has been a few works on resource allocation for this system in the literature. This paper presents an Antenna Selection Algorithm as one efficient resource allocation technique for DBWS using Manhattan scenario.