Maximum Sum-Rate and Optimal Power Allocation for Multi-User MIMO Multiple Access Channels in Cognitive Radio Networks
نویسندگان
چکیده
In this paper, based on the iterative water-filling (IWF) and primal-dual approaches, we proposed efficient algorithms to maximize the sum-rate and optimize the input distribution policy for the multi-user multiple input multiple output multiple access channels (MU-MIMO MAC) with concurrently accessing of the cognitive radio (CR) network. For the proposed IWF-CR algorithm, with more complicated problem structure of the mixed constraints, the conventional water-filling algorithm could not be able to complete the inner loop operation of the IWFCR algorithm. We proposed a generalized water-filling algorithm to accomplish the inner loop operation. For the outer loop, the power distribution for the users is updated by using variable scale factors which efficiently maximize the objective function at each iteration. At the same time, distributed and parallel computation is employed to expedite convergence of the proposed algorithm. As a counter-part, we also proposed an algorithm based on the primal dual approach to solve the same target problem (PD-CR). Under this approach, to avoid introducing the new deeper inner loop that could stem from the structure of the system, another new water-filling is proposed during evaluation of the dual function. This new water-filling itself can extend the objective function to a combination of the sum-log function with a linear function. As a result, beside the original fixed point theory, the two new water-filling algorithms, as fundamental blocks
منابع مشابه
Asymptotic Close to Optimal Resource Allocation in Centralized Multi-band Wireless Networks
This paper concerns sub-channel allocation in multi-user wireless networks with a view to increasing the network throughput. It is assumed there are some sub-channels to be equally divided among active links, such that the total sum rate increases, where it is assumed each link is subject to a maximum transmit power constraint. This problem is found to be a non-convex optimization problem and i...
متن کاملAdaptive Resource Allocation for MC-CDMA and OFDMA in Reconfigurable Radio Systems
© 2014 Yonghoon Choi 953 http://dx.doi.org/10.4218/etrij.14.0113.0843 This paper studies the uplink resource allocation for multiple radio access (MRA) in reconfigurable radio systems, where multiple-input and multiple-output (MIMO) multicarrier-code division multiple access (MCCDMA) and MIMO orthogonal frequency-division multiple access (OFDMA) networks coexist. By assuming multi-radio user eq...
متن کاملBackhaul-Aware Decoupled Uplink and Downlink User Association, Subcarrier Allocation, and Power Control in FiWi HetNets
Decoupling the uplink and downlink user association improves the throughput of heterogeneous networks (HetNets) and balances the traffic load of macro- and small- base stations. Recently, fiber-wireless HetNets (FiWi-HetNets) have been considered as viable solutions for access networks. To improve the accuracy of user association and resource allocation algorithms in FiWi-HetNets, the capacity ...
متن کاملCognitive Radio MIMO Gaussian Broadcast Channels with the Power Constraint
The cognitive radio multiple-input multiple-output Gaussian broadcast channels are studied where multiple antennas are available for both primary users and secondary users in a spectrum sharing environment, and the sum-rate capacity is also obtained under both the SUs’ transmit power constraint and interference power constraint at the primary receivers. The paper principally consists of two ste...
متن کاملOptimal Transmit Power Allocation for MIMO Two-Way Cognitive Relay Networks with Multiple Relays
In this letter, we consider a multiple-input multipleoutput two-way cognitive radio system under a spectrum sharing scenario, where primary and secondary users operate on the same frequency band. The secondary terminals aims to exchange different messages with each other using multiple relays where each relay employs an amplify-and-forward strategy. The main objective of our work is to maximize...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013