The role of waveform design is central to effective radar resource management for state-of-the art radar systems. The waveform shape employed by any radar system has always been a key factor in determining the performance and application. The design of radar waveform to minimize mean square error (MMSE) in estimating the target impulse response is based on POWER ALLOCATION using waterfilling. This paper shows the effect of various POWER control strategies in the MMSE performance of the waveform design. We find that the truncated POWER control strategy exhibits a good MMSE performance. The performance improvement results from the fact that with the truncated POWER control no POWER is wasted in poor quality modes.

This paper presents an investigation on the performance of the Non-Orthogonal Multiple Access (NOMA) in the POWER domain scheme. A POWER ALLOCATION (PA) method is proposed from NOMA throughput expression analysis. This method aims to provide fair opportunities for users to improve their performance. Thus, NOMA users can achieve rates higher than, or equal to, the rates obtained with the conventional Orthogonal Multiple Access (OMA) in the frequency domain schemes. The proposed method is evaluated and compared with others PA techniques by computer system level simulations. The results obtained indicate that the proposed method increases the average cell spectral efficiency and maintains a good fairness level with regard to the resource ALLOCATION among the users within a cell.

This paper considers the POWER-efficient resource ALLOCATION problem in a cloud radio access network (CRAN). The C-RAN architecture consists of a set of base-band units (BBUs) which are connected to a set of radio remote heads (RRHs) equipped with massive multiple input multiple output (MIMO), via fronthaul links with limited capacity. We formulate the POWER-efficient optimization problem in C-RANs as a joint resource ALLOCATION problem in order to jointly allocate the RRH and transmit POWER to each user, and fronthaul link and BBU assign to active RRHs while satisfying the minimum required rate of each user. To solve this non-convex optimization problem we suggest iterative algorithm with two-step based on the complementary geometric programming (CGP) and the successive convex approximation (SCA). The simulation results indicate that our proposed scheme can significantly reduce the total transmission POWER by switching off the under-utilized RRHs.

Due to lack of resources such as transmission POWER and bandwidth in satellite systems, resource ALLOCATION problem is a very important challenge. Nowadays, new heterogeneous network includes one or more satellites besides terrestrial infrastructure, so that it is considered that each satellite has multi-beam to increase capacity. This type of structure is suitable for a new generation of communications, which leads to a specific benefit of using the available resource in wireless communication systems. The multi-beam technology is one of the multiple access methods for new satellite systems that are similar to very high throughput satellites systems. Therefore, in this paper, our proposed algorithm is mainly the jointly POWER and bandwidth ALLOCATION of satellite systems to each beam and it is simulated considering the limitation of the total transmission POWER and bandwidth constraints for any beams. Furthermore, a bandwidth sharing algorithm is provided to dedicate extra bandwidth among beams. Finally, the total capacity of our proposed system model, which is heterogeneous network is obtained based on some parameters such as frequency reuse, modulation rate and total number of users for each beam. This comparison shows that the proposed algorithm allows maintaining the optimal capacity ALLOCATION to use a new satellite network.