Abstract

Multicell cooperation is a promising solution for cellular wireless systems to mitigate intercell interference, improve system fairness, and increase capacity. In this article, we propose power allocation techniques for the downlink of distributed, precoded, multicell cellular-based systems. The precoder is designed in two phases: first the intercell interference is removed by applying a set of distributed precoding vectors; then the system is further optimized through power allocation. Three centralized power allocation algorithms with per-BS power constraint and different complexity trade-offs are proposed: one optimal in terms of minimization of the instantaneous average bit error rate (BER), and two suboptimal. In this latter approach, the powers are computed in two phases. First, the powers are derived under total power constraint (TPC) and two criterions are considered, namely, minimization of the instantaneous average BER and minimization of the sum of inverse of signal-to-noise ratio. Then, the final powers are computed to satisfy the individual per-BS power constraint. The performance of the proposed schemes is evaluated, considering typical pedestrian scenarios based on LTE specifications. The numerical results show that the proposed suboptimal schemes achieve a performance very close to the optimal but with lower computational complexity. Moreover, the performance of the proposed per-BS precoding schemes is close to the one obtained considering TPC over a supercell.

Highlights

  • Multiple input and multiple output (MIMO) is a very promising technique to mitigate the channel fading and improving the cellular system capacity [1]

  • The criteria considered were the minimization of the bit error rate (BER) and two centralized power allocation algorithms with per-base station (BS) power constraint: one optimal that can be achieved at the expense of some complexity and one suboptimal with lower complexity aiming at practical implementations

  • To circumvent the need for iterations, we further proposed another suboptimal scheme, where the power allocation was computed to minimize the sum of inverse of SNRs of each user terminals (UTs) allowing us to achieve a closed-form solution

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Summary

Introduction

Multiple input and multiple output (MIMO) is a very promising technique to mitigate the channel fading and improving the cellular system capacity [1]. Since we assume a centralized power allocation, some channel information must be shared among all BSs in each supercell, even considering that the precoder vectors are computed in a distributed manner on each BS.

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