Radio Resource Management Based On Interference Coordination

The modern theory of communications started with Claude E. Shannon's classic paper "A mathematical theory of communication" in 1948, which focused on communication scenarios between a single transmitter and receiver pair. This communication model is referred to as a single-user channel for which the capacity is now well-established. Practical communication systems often involve multiple transmitters and receivers. Users share the limited resource for their own transmission, and cause mutual interference into each other, which is detrimental to the system performance. At present, it is difficult to determine capacity of multiuser communication system for many reasons.The concept of radio resource management derived from the 2nd generation mobile communication system. It is regarded as a key technology for networks planning and optimization in the 3rd generation mobile communication system based on CDMA, and becomes an important reference for operators to measure communication service quality and network performance. At present, as the technologies for 3G network are getting mature, research efforts in wireless communication field are gradually transferring to B3G/4G system. In the next generation mobile communication system, radio network resources are in the nature of multidimensional characteristics, such as spectral domain, time domain, space domain and code domain. Most of wireless communication networks are resource constrained, as well as interference restricted. Along with the multidimensional wireless resources are being highly multiplexed, the radio interference becomes more and more serious.Therefore, in the perspective of wireless channel interference, this paper carried out some research on wireless network resource management, analyzed the existing algorithms' performance, and improved some existing schemes or proposed some new efficient algorithms to enhance system performance. Main contributions include the following aspects:Research the power allocation and beam-forming problem in typical interference channel scenario, analyze users' action from the perspective of game theory, and propose a novel beam-forming algorithm for the MISO interference channel. Simulation results display that the proposed algorithm can effectively coordinate mutual interference between users, improve users'transmission rate and resource efficiency.Interference management is one of the key technologies in cognitive radio network. For the uplink SINR balancing problem in cognitive radio network, we proposed the optimal solution of joint power control and beam-forming. Numerical results shows that, compared with the existing algorithm, the proposed algorithm can effectively control the received interference at authorized networks, make full use of space resource and improve cognitive radio network performance.In order to alleviate serious interference between cells in 4G system, a large number of schemes have been proposed, such as coordination in frequency domain, power control, and coordinated multi-point transmission etc. Based on numerical results, this paper analyzed the performance, of classic power allocation algorithms for multi-cell networks. Considering the problem of selection coordinated transmission set in coordinated multi-point transmission, this paper put forward a new scheduling algorithm, including user-specific transmission set selection and joint scheduling among multi-points. Simulation results display that the proposed algorithm effectively reduced the amount of information interchange between base stations, as well as ensured high collaboration gain premises.At last, this paper put forward some direction of radio resource management needing further research in the respective of interference coordination.