A practical approach to "channel borrowing" for microcells in GSM systems

Abstract

This paper describes a novel method to determine the least interfered channel for microcells in GSM radio networks. The determination of this optimum channel is based on analysis of signal level measurements from the serving and neighbouring cells. These measurements are provided as part of the standard GSM functionality by mobile stations of ordinary subscribers while being in a call. The method has been applied to different cell types in various networks and proved to be very useful in achieving high capacity networks and good call quality.

Data fusion‐based interference matrix generation for cellular system frequency planning

“…System measurements are obtained during the operation of actual cellular system. The two most commonly used system measurements are (1) mobile measurement reports (MMRs) sent by active user terminals to the base transceiver station (BTS) in a dedicated mode [18][19][20], and (2) drive test arranged for routine system optimization [16], [17].…”

“…System measurements are obtained during the operation of actual cellular system. The two most commonly used system measurements are (1) mobile measurement reports (MMRs) sent by mobile phones to the base transceiver station (BTS) in a dedicated mode [18][19][20], and (2) drive test (DT) arranged for routine system optimization [16,17].MMRs were originally designed for seamless handover between cells. A mobile phones send a MMR to the BTS every 480 ms, which contain seven signal strength measurements from the serving cell and six neighboring cells.…”

Multi-period Channel Assignment

“…In fact, usually frequency plan dimensioning is based on an over-sizing of traffic data [1][6] [17] and unused channels in lightly loaded cell are not reassigned to heavily loaded ones. To overcome this handicap, many alternative strategies have been adopted as dynamic channel assignment [1] [3], hybrid channel assignment [15] and channel borrowing [16]. Usually those techniques perform badly in heavy traffic or require additional signaling loads to ensure channel readjustment [8].…”

Genetic Tabu search for robust fixed channel assignment under dynamic traffic data

“…Dynamic channel assignment [3][4][5]7], hybrid channel assignment [38] and channel borrowing [40] belong to this class. -Proactive or adaptive schemes periodically readjust the frequency plan according to expected traffic evolution [33].…”