This paper proposes joint power control and beamforming schemes for cellular systems with adaptive arrays at base stations. In the uplink, mobile powers and receiver diversity combining vectors are calculated jointly to minimize transmitted power while maintaining signal-to-interference-and-noise ratio (SINR) above a threshold. In the downlink, transmit weight vectors and power allocations are jointly calculated to ensure SINR above a target value. The proposed algorithm achieves a feasible solution if one exists and minimizes total transmitted power. In reciprocal networks, it can be implemented in a decentralized system without global channel measurements, while in nonreciprocal networks, it requires knowledge of downlink channel responses. The algorithms are compared with previously proposed methods through numerical studies. The paper discusses the use of adaptive arrays at base stations to reduce cochannel interference and intersymbol interference. It also explores transmit diversity and receiver beamforming, highlighting their differences in implementation and performance. The proposed algorithm is shown to minimize total transmitted power and improve performance in both uplink and downlink scenarios. In TDD networks, the algorithm can be implemented in a distributed manner, while in FDD networks, it requires centralized implementation. Simulation results demonstrate that the proposed algorithms significantly reduce total transmitted power and increase achievable SINR compared to existing methods. The paper concludes that the proposed schemes are effective in reducing total transmitted power and improving network capacity.This paper proposes joint power control and beamforming schemes for cellular systems with adaptive arrays at base stations. In the uplink, mobile powers and receiver diversity combining vectors are calculated jointly to minimize transmitted power while maintaining signal-to-interference-and-noise ratio (SINR) above a threshold. In the downlink, transmit weight vectors and power allocations are jointly calculated to ensure SINR above a target value. The proposed algorithm achieves a feasible solution if one exists and minimizes total transmitted power. In reciprocal networks, it can be implemented in a decentralized system without global channel measurements, while in nonreciprocal networks, it requires knowledge of downlink channel responses. The algorithms are compared with previously proposed methods through numerical studies. The paper discusses the use of adaptive arrays at base stations to reduce cochannel interference and intersymbol interference. It also explores transmit diversity and receiver beamforming, highlighting their differences in implementation and performance. The proposed algorithm is shown to minimize total transmitted power and improve performance in both uplink and downlink scenarios. In TDD networks, the algorithm can be implemented in a distributed manner, while in FDD networks, it requires centralized implementation. Simulation results demonstrate that the proposed algorithms significantly reduce total transmitted power and increase achievable SINR compared to existing methods. The paper concludes that the proposed schemes are effective in reducing total transmitted power and improving network capacity.