tailieunhanh - Báo cáo hóa học: " Interference mitigation techniques for clustered multicell joint decoding systems"

Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí hóa hoc quốc tế đề tài : Interference mitigation techniques for clustered multicell joint decoding systems | Chatzinotas and Ottersten EURASIP Journal on Wireless Communications and Networking 2011 2011 132 EURASIP Journal on http content 2011 1 132 Wireless Communications and Networking RESEARCH Open Access Interference mitigation techniques for clustered multicell joint decoding systems Symeon Chatzinotas1 and Bjorn Ottersten1 2 Abstract Multicell joint processing has originated from information-theoretic principles as a means of reaching the fundamental capacity limits of cellular networks. However global multicell joint decoding is highly complex and in practice clusters of cooperating Base Stations constitute a more realistic scenario. In this direction the mitigation of intercluster interference rises as a critical factor towards achieving the promised throughput gains. In this paper two intercluster interference mitigation techniques are investigated and compared namely interference alignment and resource division multiple access. The cases of global multicell joint processing and cochannel interference allowance are also considered as an upper and lower bound to the interference alignment scheme respectively. Each case is modelled and analyzed using the per-cell ergodic sum-rate throughput as a figure of merit. In this process the asymptotic eigenvalue distribution of the channel covariance matrices is analytically derived based on free-probabilistic arguments in order to quantify the sum-rate throughput. Using numerical results it is established that resource division multiple access is preferable for dense cellular systems while cochannel interference allowance is advantageous for highly sparse cellular systems. Interference alignment provides superior performance for average to sparse cellular systems on the expense of higher complexity. 1 Introduction Currently cellular networks carry the main bulk of wireless traffic and as a result they risk being saturated considering the ever increasing traffic imposed by internet data services. In