Title :
Capacity and quality enhancement using an adaptive resource allocation for multi-beam mobile satellite communication systems
Author :
Nakahira, Katsuya ; Kobayashi, Kiyoshi ; Ueba, Masazumi
Author_Institution :
NTT Access Network Service Syst. Lab., NTT Corp., Kanagawa
Abstract :
To obtain large capacity, high quality future mobile satellite communication systems, we must use a multi-beam that has extremely high levels of frequency reuse. This paper describes a novel resource allocation scheme for multi-beam satellite communication systems that can dynamically offer maximum communication capacity without compromising quality. The scheme optimizes the frequency bandwidth, satellite transmission power, modulation level, and coding rate to each beam to deal with the ever-changing user distribution and inter-beam interference conditions. First, to minimize interference, we clarified the optimal constraint conditions when all clusters share the same bandwidth, while consuming the system bandwidth. We then used them as constraints in the optimization algorithm that allocates resources to each beam. Second, to manage the various needed resources and adapt them to the beam gain and interference levels at user locations, we propose two schemes for allocating resources within a beam. As a result, although both schemes were able to accommodate the same number of users, the fixed power with adaptive modulation secured a more stable communication quality. This means that our scheme can satisfactorily allocate multi-beam satellite resources, while increasing communication capacity and improving quality
Keywords :
adaptive modulation; bandwidth allocation; mobile satellite communication; radiofrequency interference; resource allocation; adaptive modulation; adaptive resource allocation; coding rate; communication capacity; frequency bandwidth; inter-beam interference; modulation level; multibeam mobile satellite communication systems; optimization algorithm; quality enhancement; satellite transmission power; Bandwidth; Clustering algorithms; Constraint optimization; Frequency; Interference constraints; Mobile communication; Modulation coding; Optical modulation; Resource management; Satellite communication;
Conference_Titel :
Wireless Communications and Networking Conference, 2006. WCNC 2006. IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
1-4244-0269-7
Electronic_ISBN :
1525-3511
DOI :
10.1109/WCNC.2006.1683456